Onboarding tours, in-app tutorials, and deep product walkthroughs all have their place, and they work well for users who are already invested in your app. But those users are still a subset. The larger group, the one that determines whether your engagement metrics trend up or flatten out, is the one opening your app for 30 seconds between other things. The quick check while waiting for coffee, a scroll between meetings, a tap from a push notification that leads to maybe 20 seconds of actual attention.

That's where micro-journeys come in: short, automated, cross-channel sequences where every touchpoint is designed to deliver value inside a single brief session. This guide covers how to structure them and walks through three real examples you can build in OneSignal.

Why micro-Journeys outperform traditional flows

Traditional engagement journeys tend to assume a linear path. User signs up, user gets a welcome email, user opens the app, user completes onboarding, user converts. It’s neat, tidy, and almost never how it actually plays out.

Micro-journeys work because they respect this reality. Each touchpoint is designed to be complete on its own. If a user only sees one message in the sequence, that message should still make sense and still drive value. If they see all of them, the experience compounds.

Anatomy of a good micro-Journey

The best micro-journeys share a few structural traits:

• One goal per sequence. Not three goals stapled together. If the journey is supposed to drive a first purchase, every step should support that single outcome.
• Short time horizons. Most micro-journeys run 3 to 7 days, not 30. You're working with a narrow window of intent, and the longer you stretch it, the more users leak out.
• Channel-aware delivery. The right message on the wrong channel is still the wrong message. A time-sensitive reminder belongs in push. A product recommendation with visuals belongs in email. A contextual nudge while someone's already in the app belongs in-app.
• Built-in branching. The sequence adapts based on what the user does (or doesn't do). If they complete the goal after step one, they exit. If they don't engage with a push, you try a different channel instead of repeating the same one louder.

Three micro-Journeys you can build in OneSignal today

Each of these uses OneSignal Journeys, which supports automated cross-channel sequences with push, email, SMS/RCS, in-app messages, wait steps, yes/no branching, time windows, and webhooks. Here's the step-by-step for each.

1. The 72-Hour Activation Nudge

Goal: Get a new user to complete one meaningful action (first purchase, first bookmark, first content save) within three days of signup.

Why it works: Most users who don't activate within 72 hours never will. This journey front-loads value while intent is still fresh and adapts channels based on what's working.

2. The Abandoned Browse Recovery

Goal: Convert a user who browsed a product or content category but left without taking action.

Why it works: Browse abandonment is earlier in the funnel than cart abandonment, so the messaging needs to feel helpful rather than urgent. The time window step keeps you from pinging someone at 2 AM.

3. The Lapsed User Win-Back (Light Touch)

Goal: Re-engage a user who hasn't opened the app in 14+ days without being aggressive about it.

Why it works: Most win-back sequences go too hard, too fast. This one leads with a low-pressure push, only escalates to SMS for users who opened but didn't act, and exits users who come back on their own. The exit condition does the heavy lifting.

Four rules for designing micro-Journeys that actually work

1. Assume every message might be the only one they see. If a user only gets step three of your journey, does it still make sense on its own? If the answer is no, rewrite it. Micro-journeys should be sequential but not dependent.

2. Branch on behavior, not just time. A wait step followed by another message is a drip campaign. A wait step followed by a yes/no branch that adapts the channel or content based on what the user did? That's a journey. Use OneSignal's branching to check for opens, clicks, and segment membership before deciding the next step.

3. Set exit conditions aggressively. The moment a user completes the goal, they should leave the journey. Nothing erodes trust faster than getting a "come back!" push from an app you're actively using. OneSignal lets you set exit conditions based on custom events or segment membership, so there's no excuse for this.

4. Use tags to coordinate across journeys. Tag users as they progress (e.g., "activation_nudge_sent", "browse_recovery_sent") so other journeys and campaigns can exclude them. This is how you prevent the pile-up problem where a user gets three automated messages from three different flows on the same Tuesday morning.

Start designing for the sessions your users want

Users have trained themselves to get what they need from an app in under a minute, and nothing about that trend is reversing. The notification tray is only getting more competitive, and the threshold for earning a tap keeps rising. We’re seeing more and more marketers designing sequences tight enough that a single touchpoint can carry its weight on its own, even if the user never sees the next one.

Micro-journeys are how you do that at scale. And if you're using OneSignal, the building blocks (cross-channel messaging, behavioral branching, time windows, tagging, exit conditions) are already in the Journeys builder waiting for you. Start with one of the three examples above, measure what happens, and iterate from there.

If you’re not using OneSignal, we are here to make it pain-free by including access to our Journeys builder from the start.

You built the campaign, wrote the copy, segmented the list, and hit send. A day later, half your audience hasn’t opened it. The instinct is to treat this as a problem to fix... fix that subject line, adjust that send time, and voilà.

Sometimes that’s the right call. But more often, the unopened email is telling you something more useful than “your subject line wasn’t catchy enough.” It’s a data point about how that user prefers to be reached, what kind of message earns their attention, and whether email is even the right channel for the job.

Below, we walk through how to read that silence, decide what to do next, and build an engagement strategy that treats non-response as input rather than failure.

First, Diagnose the Silence

Before you change anything, figure out which kind of “ignored” you’re dealing with, because the cause determines the response.

Technical hurdles: Did the message actually arrive?

The most basic question is whether your email made it to the inbox at all. Misconfigured DNS records, poor sender reputation, or an unverified domain can quietly route your messages to spam, or prevent delivery entirely. If your open rates dropped suddenly across your entire list (rather than for a specific segment), start here.

OneSignal’s email troubleshooting documentation covers the most common deliverability issues and how to resolve them. And if you’re evaluating your email infrastructure more broadly, our breakdown of what to look for in an email service provider is a useful starting point.

Content and context: Was the message worth opening?

If delivery isn’t the issue, the next question is relevance. Was the email personalized to the user’s behavior, or was it a batch-and-blast to your entire list? Was the value proposition clear in the subject line and preview text, or did the recipient have to guess why it mattered?

These are real factors, and they’re worth testing. But they’re also the advice that every “how to improve open rates” post already covers. The more interesting question is the one most teams skip.

Channel preference: Was email the right vehicle?

Some users are buried in email. They have 4,000 unread messages and a relationship with their inbox that is, generously, adversarial. These same users might tap every push notification within minutes or respond to an SMS inside of 30 seconds.

This is also worth keeping in mind: users who go quiet on one channel are not necessarily disengaged from your product. For more on that distinction, read Rethinking ‘Inactive’: Why Your Quiet Users Might Still Be Valuable.

Choosing your next move: Retry or rechannel

Once you’ve diagnosed the likely cause, you have two options: try email again with a different approach, or move the conversation to a different channel entirely. The right choice depends on the message and the user.

When to send a follow-up email

A follow-up makes sense when the message is high-value, non-urgent, and there’s a reasonable chance the first email was simply lost in the noise. Think: a detailed product update, a renewal reminder, or an onboarding sequence where the next step matters.

If you do follow up, make it count. Don’t just resend the same email—offer a new angle, simplify the ask, or test a different subject line. And always make it easy to opt out. Respecting unsubscribe preferences isn’t just a compliance issue; it protects your sender reputation and keeps your remaining list healthier. Our guide on how to manage email unsubscribes covers the mechanics.

When to escalate to push or SMS

If the message is time-sensitive, action-oriented, or better suited to a quick glance than a full read, another channel is probably the better play.

Push notifications work well for in-app actions, cart abandonment, flash sales, and anything where context matters more than detail. They’re visual, tappable, and land directly on the lock screen—but they require their own strategy to be effective. If you’re seeing low engagement on push too, Why Most Push Notifications Go Unread and An Open Letter From Your Ignored Push Notification are both worth reading.

SMS is the highest-urgency option. Delivery rates are near-universal, and most texts are read within minutes. Reserve it for messages where delivery truly can’t wait: appointment confirmations, security alerts, or a last-chance offer that expires in hours. Overusing SMS burns trust faster than any other channel.

Building a smarter multi-channel strategy

Treating each ignored email as a one-off problem to fix is reactive. The better approach is to build a system that learns from non-engagement over time and routes messages accordingly.

Using engagement data to map user preferences

Every interaction (and non-interaction) adds to your picture of how a specific user prefers to communicate. A user who consistently ignores emails but opens every push notification is giving you a clear channel preference, if you’re set up to read it.

Over time, this data lets you shift from broadcasting on a single channel to routing each message through the channel most likely to reach that individual. An unopened email becomes the input that makes the next touchpoint more effective.

Why this requires a unified platform

In practice, this kind of cross-channel orchestration falls apart when your email tool, push provider, and SMS vendor are all separate systems with separate data. You end up with fragmented user profiles, duplicated messages, and no clean way to say “if email is unopened after 24 hours, send a push instead.”

A customer engagement platform that unifies email, push, SMS, and in-app messaging under one roof solves this. It gives you a single view of each user’s engagement across every channel, and it lets you build automated journeys that adapt based on behavior.

If you’re evaluating platforms, our comparison of top Braze alternatives for email and push in 2026 breaks down what to look for and how OneSignal stacks up.

When email is the only scalable channel in your toolkit, every message becomes an email by default: product updates, flash sales, onboarding nudges, cart reminders, feature announcements. Some of these messages belong in email. Many of them don’t. But when you don’t have push notifications, in-app messaging, or SMS available, everything gets forced through the inbox regardless of whether it’s the right fit.

The result is predictable: subscriber fatigue, declining open rates, rising unsubscribes, and a sender reputation that quietly erodes with each ignored campaign. The fix is to stop making email carry the weight of your entire communication strategy.

This guide lays out a framework for identifying which messages actually belong in email and which ones should move to a different channel, so every email you do send earns its place in the inbox.

The hidden costs of over-emailing

The damage from sending too many emails isn’t always obvious. Unsubscribes are visible, but the subtler costs (inbox fatigue, lower engagement across your entire list, spam complaints that chip away at deliverability) compound quietly in the background.

And the environment is getting less forgiving. Major inbox providers like Microsoft and Google have tightened their sender requirements over the past two years, placing a higher penalty on low-engagement sends. If a significant portion of your list is ignoring your emails, that silence actively hurts your ability to reach the subscribers who do want to hear from you. For specifics on what’s changed, read our breakdown of Microsoft Outlook’s new sender requirements.

The underlying issue is that audience attention is finite, and every email costs a withdrawal from that account. A message that doesn’t deliver value doesn’t just fail on its own, it makes the next email less likely to be opened, too.

For a deeper look at the mechanics of this, see 7 Easy Solutions to Mitigate the Risks of Over-Messaging.

A framework for choosing the right channel

Sending fewer emails starts with having real alternatives, and knowing when each one is the better choice. Here’s how to go about it.

When email IS the right channel

Email is best suited for messages that are content-rich, non-urgent, and benefit from being read at the recipient’s own pace. It’s where you build relationships over time, not where you drive split-second actions.

Good fits for email: newsletters and curated content roundups, welcome sequences and onboarding flows, transactional receipts and shipping confirmations, educational content and long-form storytelling, product changelog summaries.

Even when email is the right channel, volume discipline still matters. Segment your list so each subscriber receives content that’s actually relevant to them—not every campaign you run. Our guide on email segmentation best practices covers how to do this well. And if you’re sending fewer emails, each one carries more weight, which makes A/B testing and send-time optimization significantly more important.

When to use push notifications instead

Push notifications are the right choice when a message is time-sensitive, action-oriented, and better consumed in a glance than a full read. They land directly on the lock screen, and they don’t compete with 47 other unread messages to be seen.

Good fits for push: flash sales and limited-time offers, abandoned cart reminders, breaking news or urgent account alerts, real-time delivery and status updates, re-engaging users who haven’t opened the app recently.

Every message on this list is something many teams currently send via email, but each one would perform better as a push notification because the value of the message is tied to immediacy. An abandoned cart email sent 6 hours later competes with everything else in the inbox. An abandoned cart push sent 20 minutes later lands on the lock screen while the purchase intent is still warm.

For detailed guidance, see our push notification best practices guide.

When to use in-app messages

In-app messages reach users while they’re actively engaged with your product, which makes them the highest-context channel available. They’re not interruptions; they’re additions to an experience already in progress.

Good fits for in-app: onboarding tips and feature walkthroughs, personalized recommendations based on current activity, feedback requests and app store review prompts, contextual announcements (e.g., a new feature relevant to what the user is doing right now).

These are messages that would feel out of place in an inbox. A tooltip explaining a new feature has maximum impact when the user is looking at that feature—not when they’re scanning emails over coffee the next morning.

Putting a multi-channel strategy into practice

Start by reviewing your last 30 days of email campaigns and asking a simple question for each one: was email the best channel for this message, or was it the only channel available? If the answer is the latter for more than a handful of sends, that’s your clearest signal that email is carrying load it shouldn’t be.

While you’re auditing, clean up the list itself. A smaller list of engaged subscribers will outperform a bloated one every time, and it protects your sender reputation for the messages that genuinely belong in email.

Move to a unified mobile engagement platform

If your email provider, push notification service, and in-app messaging system are three separate products with three separate dashboards, building cross-channel journeys is painful enough that most teams default back to email.

A customer engagement platform that unifies email, push, SMS, and in-app messaging solves this by giving you a single view of each user’s behavior and a single place to orchestrate messages across channels. The decision of “should this be an email or a push?” becomes something you can act on—and even automate—rather than just debate.

This is what separates a modern email service provider from a customer engagement platform: the ability to treat email as one channel among several, rather than the only tool in the box. If you’re evaluating options, our comparison of top Braze alternatives for email and push breaks down what to look for, and the OneSignal email product page shows how it works in practice.

Send less, mean more

The brands that get the best results from email in 2026 are the ones that have built a system where each message goes through the channel it’s best suited for. And email is reserved for the messages that genuinely benefit from being read in an inbox.

That shift requires two things: a framework for deciding which channel fits which message (which you now have), and the tooling to actually execute on it. Get both right, and you’ll send fewer emails, see better engagement across every channel, and stop burning through your audience’s attention on messages that would have worked better as a push notification or an in-app prompt.

A tale of two launches.

You shipped it on a Saturday. A weekend project. Maybe a utility app, maybe a clever AI wrapper, maybe a niche tool that scratches an itch nobody else bothered to scratch. You used Cursor, or Replit, or Vibecodeapp. The stack doesn’t matter. What matters is that it works, it’s live, and on Sunday morning you posted it to r/SideProject.

By Sunday night, it’s on the front page of Hacker News. Your Vercel dashboard looks like a hockey stick. Your database is sweating. You’re refreshing your analytics tab every thirty seconds, watching the concurrent user count climb past numbers you’d never planned for.

This is the moment every indie builder dreams about. It’s also the moment that separates the apps that become real products from the ones that become screenshots in a Twitter thread about “that one time I went viral.”

What happens next depends almost entirely on what you set up before the 15 minutes of fame: specifically, whether you have any way to talk to the people who just showed up.

Let’s walk through two versions of the same story.

World one: The silent viral spike

Days 1–2: The high

Your app hits 12,000 signups in 48 hours. You’re running on adrenaline and cold brew. The Reddit thread has 400 comments. People are posting screenshots. A couple of YC founders DM you on Twitter. You feel like you’ve made it.

But here’s the thing: all you have is a signup flow and whatever core feature you shipped. There’s no onboarding sequence. There’s no welcome message beyond a default confirmation email from your auth provider. There’s certainly no push notification infrastructure. You didn’t think you’d need any of that yet.

Most of those 12,000 people try your app once. Some poke around for a few minutes. A few power users dig in. But the majority (the ones who signed up because the Reddit thread looked cool) are gone within the hour, and you have no mechanism to bring them back.

Days 3–7: The build sprint

You’re energized. You take the week off from your day job (“family emergency”) and start shipping features. You build the three things people asked for most in the Reddit comments. You fix the worst bugs. You add a proper settings page. The app is legitimately better now.

But who are you building for? You don’t actually know much about your users. You know how many signed up. You can see some aggregate page views in your analytics. But you don’t know which features they tried, where they got stuck, or what made the power users stick around.

You’re building on vibes and Reddit comments.

Week 2: The email

You want to tell your users about the new features. The problem: you have no messaging infrastructure. Your auth system has their email addresses, so you export the list to a CSV, paste it into your personal Gmail (or maybe a free Mailchimp tier), and send a blast.

The email’s subject line is something like “Exciting updates to [App Name]!” You write it in twenty minutes. It goes to all 12,000 addresses at once. There’s no segmentation because you have nothing to segment on. There’s no personalization because you don’t know anything about these people beyond their email.

The open rate comes back at 22%. That’s roughly average for a bulk email from an unknown sender, which is exactly what this is. A few hundred people click through. A few dozen re-engage. Most don’t.

You send another email the following week. The open rate drops to 16%. A handful of people unsubscribe. The ones who don’t unsubscribe simply ignore you. Your app is already fading from their memory, replaced by whatever new thing hit the front page this week.

Week 4+: The plateau

Traffic is back to baseline. Your analytics dashboard, which briefly looked like a rocket ship, now looks like a cliff followed by a flat line. You have maybe 200 weekly active users from that original cohort of 12,000. That’s a 98.3% churn rate on your viral spike.

You didn’t lose those users because your app was bad. You lost them because you had no way to build a relationship with them after signup. No onboarding to show them the good stuff. No timely nudge when they hadn’t opened the app in three days. No way to tell them “hey, that feature you wanted? It’s live” in a channel that actually reaches them.

You had 48 hours of attention and no infrastructure to convert it into retention.

World two: The prepared viral spike

Same app. Same Reddit post. Same 12,000 signups in 48 hours. But in this version, you spent an extra afternoon before launch setting up OneSignal.

It wasn’t a heroic effort. You added the SDK, configured push notification permissions and in-app messaging, and wired up a few basic event triggers. You did it because you’d read enough post-mortems from other indie devs to know that “we’ll add engagement tooling later” is the most common last words of a promising side project.

Here’s how the same viral spike plays out differently.

Days 1–2: Onboarding at scale

As those 12,000 users sign up, they’re opted into a welcome sequence. Not just a generic “thanks for signing up” email, but an actual mobile onboarding flow. The first in-app message fires when they land on the dashboard for the first time, pointing them to the feature that Reddit was raving about. A second message triggers if they haven’t tried the core workflow within the first session, offering a quick walkthrough.

For users who grant push notification permissions (and in this world, you actually ask at a contextually appropriate moment rather than on first page load, because the OneSignal SDK lets you control that timing), you now have a direct channel to their device. That’s a fundamentally different relationship than “their email address sitting in a CSV somewhere.”

On day two, you send a push notification to users who signed up but didn’t complete the core action. The message is specific: “You created an account yesterday but haven’t [done the thing] yet. Here’s a 30-second walkthrough.” The re-engagement rate on this message is 4x what you’d get from email because it arrives on their lock screen, in real time, while your app is still fresh in their mind.

Days 3–7: Building with signal

You’re still doing the same build sprint; cranking on features, fixing bugs, improving the UX. But now you’re not building blind. Because you instrumented your app to trigger OneSignal Events when users complete key actions (finished onboarding, used the export feature, hit the paywall) you now have segments that actually mean something. You can see that users tagged “completed_core_workflow: true” within their first session are your power users, and users who never triggered that tag bounced from the same screen.

This changes your roadmap. Instead of building what Reddit commenters suggested (a vocal minority), you prioritize the friction point that’s actually causing drop-off. You ship a fix on day five and create an in-app message in OneSignal’s dashboard, targeting the segment of users whose tags indicate they stalled at that step. The message fires via a programmatic trigger you set in your code: when a user lands on the screen where the fix lives, OneSignal displays it. No batch send, no blast. It shows up in context, at the moment it’s relevant.

Crucially, you’re not blasting everyone with the same message. Your power users (the ones who show they’ve already hit every feature) get a different notification than the users who signed up and never came back. You build two segments in OneSignal: one filtered on “features_used greater than 3,” another on “last_session_date more than 5 days ago.” The power user segment gets a push about the new feature you just shipped. The lapsed segment gets a re-engagement nudge that highlights the core value prop they missed. Same tool, different messages, because the tags you set give you something to filter on.

Week 2: Multi-channel engagement

In World One, this is when you sent the Mailchimp blast. In World Two, you’re running a coordinated multi-channel strategy without thinking of it in those terms.

Users who are active in the app see in-app messages about new features: contextual, non-intrusive, triggered by their behavior. Users who opted into push get timely notifications when something relevant to them happens. Users who haven’t opened the app in a week get an email. The right message arrives in the right place at the right time, and that’s not a marketing platitude; it’s just what happens when your engagement stack can actually see what users are doing.

The result: your email open rate is north of 35% because you’re only emailing people who aren’t reachable via push or in-app, and the content is relevant to their actual usage pattern. Your push notification tap-through rate is above 8%. Your in-app messages have a 40% interaction rate because they fire at the exact moment the user would benefit from them.

Week 4+: Retention compounding

A month out from the viral spike, traffic has come down from the peak. That’s inevitable; no one sustains front-page-of-Reddit traffic forever. But the floor is dramatically higher. Instead of 200 weekly active users from the original 12,000, you’re sitting at 2,400. Same app, same viral moment, 12x the retention.

And here’s where it compounds. Those 2,400 active users are generating the kind of engagement signals: feature usage, session frequency, workflow completion. You can A/B test your onboarding messages. You can identify which notification cadence maximizes weekly retention without triggering unsubscribes. You can spot your most engaged users and turn them into advocates.

The viral spike was the same. The difference is everything that happened after.

The infrastructure you set up before you need it

There’s a reason we framed this as two versions of the same story rather than a feature comparison chart. The gap between World One and World Two isn’t about having access to more marketing tools. It’s about whether you can build a relationship with your users outside of the moments when they happen to be inside your app.

If you’re vibecoding a side project the temptation is to defer everything that isn’t the core product. Engagement tooling feels like a “scale problem,” something you’ll set up when you have real users. But the catch-22 is that without it, you can’t keep the users you get.

The practical reality of modern app development is that users make a retention decision in their first 48 hours. They either form a habit or they forget you exist. If you can’t reach them during that window with onboarding guidance, with timely nudges, with proof that your app is alive and improving, then you’re relying entirely on their intrinsic motivation to come back. And for the vast majority of users, intrinsic motivation loses to the next notification from the next app.

What this looks like in practice

If you’re building right now and haven’t thought about engagement infrastructure yet, here’s the minimum viable setup that would have changed World One into World Two:

Push notifications with permission timing. Don’t ask on first load. Ask after the user has experienced value. After they’ve completed the core action, after they’ve had their “aha” moment. And, don’t ask generically. With the OneSignal’s SDK you have programmatic control over when the permission prompt fires and what that prompt looks like to highlight key value and drive opt-in rates.

A full onboarding sequence, not a one time welcome email. Two or three in-app messages that trigger based on behavior, not time. First message on dashboard load. Second message if the user hasn’t completed the core workflow. Third message highlighting a non-obvious feature that power users love. All easy to do right from the OneSignal Dashboard or using our MCP with your favorite tool.

A lapsed-user re-engagement flow. If someone hasn’t opened the app in 72 hours, send a push. If they don’t respond, send an email 48 hours later. If they come back, show an in-app message about what’s new.

Basic segmentation from day one. Even simple segments (e.g. active in the last 7 days, completed onboarding, hasn’t tried feature X) let you avoid the “same blast to everyone” trap. OneSignal creates these segments from the events your app is already firing; you just need to tag them.

Virality is a window, not a destination

The vibecoding era has made it dramatically easier to build and ship software. That’s genuinely great. But it’s also created a generation of apps that are optimized for launch and completely unequipped for the day after. When the spike comes, will you be able to handle it? Will you be able to keep those users?

Engagement infrastructure isn’t a growth hack. And it’s not a heavy implementation. It’s a single SDK, set up in minutes with Cursor, that is plumbing you’ll be happy you implemented before the water starts to run.

If you’re building something right now, set up OneSignal before you post it to Reddit. Your future self (the one staring at the analytics dashboard at 2 AM, watching the numbers climb) will thank you.

AI filtering is increasingly sitting between the send button and the notification tray. Whether it’s  on iOS or in Gmail, mobile teams are finding that AI-mediated operating systems are starting to decide what gets surfaced and what disappears. Our 2026 State of Customer Engagement Report found that 48% of teams are already monitoring its impact on reach, and 17% say it's actively affecting deliverability right now.

Behavior-triggered messages are outperforming standard sends by up to 9x on CTR. Teams using automated cross-channel journeys are getting better results while sending fewer messages.

We brought in three mobile engagement experts practitioners and asked them to pressure-test the findings against what they're actually seeing:

• Baris Girgin, Associate Director of UA at Zynga
• Yarin Ben Yaakov, Product Manager at Candivore (creators of Match Masters)
• David Reyneke, Founder of Wallabout Collective

Here's what stood out.

The first session is a deal you're making, not a tour you're giving

The report finding that 75.8% of teams say push has the greatest impact on retention in the first 30 days after install tends to get filed away as validation and moved on from. The panel's point was that it's actually the starting premise for a harder question: what does that window actually require of you?

Yarin, whose team recently overhauled Match Masters' onboarding experience, made the distinction between educating users and qualifying them, and why the difference matters more now than it used to.

"We understood something: the players coming in are different types. Some are experienced in casual games. Others are completely new to it. Because of that, we wanted to give the player the opportunity to either play the tutorial or ignore it completely. And then we want to address that when we talk to them through push. If a player ignored the tutorial, it doesn't make sense to mention it in the message. But if they started it or completed it, it makes a lot of sense to talk about the mechanics they learned… rather than sending a generic push notification that doesn't relate to what they experienced."

Baris framed his team's approach similarly, except the sequencing starts even earlier, at the ad level.

"We have ads that cater toward different motivations. Some people like the challenge. We try to create an experience that's a bit more challenge-focused in the beginning of their journey. And then we try to shift that into the communication as well. We try to showcase areas where users can actually gain value from push notifications before we ask them to opt in. In this way, we can create an initially transactional relationship, where we're sending notifications that are beneficial to the user."

David's version of this came from client work, specifically a meal plan app called Homemade Method that solved its content problem by not trying to create content at all.

"Most of their content is inspired by what's being generated by their own Facebook community. Instead of trying to figure out what content to build, they're basically using the community to build the content strategy for them. You insert yourself into a conversation that's already going on."

The through-line:

The most effective early experiences are the ones that reflect the user back to themselves. Whether it's matching your first push to what someone actually did in their first session, building your ad creative around the motivation that brought them in, or letting your own community tell you what content to make, the teams seeing the strongest early retention are mirroring rather than broadcasting.

Segmentation is both an inclusion and an exclusion problem

Our data shows behavior-triggered messages outperform standard sends by 4–9x on CTR, but that stat tends to focus attention on the messages you should be sending. What the panel spent more time on was the messages you should be holding back.

Baris described his team's approach to segmentation in terms that flipped the default framing:

"One great approach to segmentation is using dynamic tags that are constantly being updated based on player activity and preferences. That way we can identify what the player engages with the most and create segments around that.

But on the other hand, we can identify what they least engage with, and we would know that a push notification about something they don't interact with won't deliver value. So we can exclude them from receiving that push. It's not only about including players. It's also about excluding players we know it's not relevant for."

Yarin added a nuance that doesn't come up often enough: timing against global live events.

"Our game operates globally. If we start an event for the player base, we start it for all of them at the same time. The push notification tells a player there's an event going on. But the event might start when it's the middle of the night for that player. So we have to be cautious and suppress those notifications for players in that situation.

Even though it's relevant in the moment, it might not be relevant for them, because they're sleeping. And if we send it later, they might have already woken up and seen the event anyway."

David summed up the longer-term version of the same problem: what happens when your segment definitions stop reflecting reality.

"Over time, there are people who have been around for ages and there are people that have been around just for a year, and their initial experience with the app is drastically different. Some people love old school programs. Others are more interested in trying new things. We're constantly trying to re-evaluate the audience and figure out new ways to offer different things that might be more personalized, and just being realistic that not everyone is going to be the same 'active customer.'"

The through-line:

A segment is only as good as its exit logic. Knowing who to message matters, but knowing who to leave alone (and when) is what separates relevant communication from the kind that quietly trains users to tune you out.

AI is an amplifier. Don't ask it to be the voice.

Our report found that 65% of teams are experimenting with AI in their messaging workflows, but only 8% have fully operationalized it. The panel's experiences help explain the gap.

David, whose agency has shifted from a marketing shop to what he now calls a "general tech solutions consultancy," described what AI has genuinely changed, and what it hasn't.

"We are able to cast a much wider net and test a lot more variants and figure out where our human-limited amount of time should actually be spent adding the most value. But I don't think AI is as useful for building full copy and creative. It should be used more as a signal, something that supercharges your efforts. It can't be fully depended on as a marketing function. We still need a human touch to everything, or it comes off as very disingenuous when customers start to feel too much AI coming at them."

Yarin's team uses it specifically to solve a problem that's more practical than philosophical: notification blindness.

"If we use the same variety of content, the player might develop some sort of blindness to it — they see the same message type or the same text over and over, and at some point they'll ignore it. One way to mitigate that is to create a larger variety. It's either you hire a full-time copywriter and a graphic artist, or you use AI tools to enhance.

But make sure there's a human somewhere along the funnel to make sure it stays relevant and doesn't lose context. It can also be quite risky in localizing. If you don't know what you're reading, you don't know how it relates to what you're trying to say."

Baris described the same logic applied to localization (using AI to move fast on testing without waiting two weeks for a translation agency) while flagging the same caveat: human review is non-negotiable when you can't verify the output yourself.

On LLMs specifically, David made the case for using them as a data activation layer rather than a content layer.

"We're using LLMs to query the data we're already collecting on our customers to create much more hyper-targeted smaller segments, and pretty much anyone on the team is empowered to do that now. There's not as much back-and-forth with an engineer or data scientist. Everyone is able to work across all these different functions and apply it to their specialty."

The through-line

The teams getting the most out of AI are using it to make better decisions about what to test, who to target, and where human judgment is actually needed.

The bet everyone is making on the next 12 months

We closed by asking each panelist the same question: if you had to bet on one thing that will matter most for engagement over the next year, what would it be?

They all landed in the same place, each from a slightly different angle.

David:

"I think we finally have tools to make personalization a reality and to scale it. The way that you treat each individual customer is going to be how you take advantage of the future of your business."

Baris:

"Technology changes quite fast, but human nature and how we behave doesn't change as fast. At the end of the day, what we try to do is build a relationship with the user. The relationship is about first providing value and earning trust, and then becoming a place they choose to spend their time, because everybody has limited time. It's a privilege to have people come to your game and spend an afternoon there. Personalization is how you show them you understand the value of that."

Yarin, who spent much of the session talking about the mechanics of onboarding and segmentation, pointed to something more fundamental when asked to zoom out:

"The one thing that is most relevant to all players is that they are primed to look for gifts, freebies, discounts… whatever free thing they can get. This is the one thing that always delivers on the promise. Use it as much as possible."

It's a reminder that even as the infrastructure around messaging gets more sophisticated, the reason users engage hasn't changed much. They want something that's worth their time.

Want to go deeper on the data behind these conversations? Download the 2026 State of Customer Engagement Report for the full benchmarks, trend analysis, and channel-by-channel breakdowns. Or watch the full webinar to hear the panel discussion in their own words.

A technical explainer on permissions, privacy, and who decides what your app can do.

There’s a conversation happening right now about a government app and its use of location data.

OneSignal’s SDK has been named in that conversation, so we want to do what we always do: be transparent, be technical, and be clear.

Here’s how location works in our SDK.

Location is off by default

OneSignal’s SDK does not collect location data out of the box. Full stop.

For location to be active in any app using our platform, two separate things must happen, both of which are outside of OneSignal’s control:

1. The developer must explicitly enable it. Location collection is a feature that app developers choose to turn on. It requires adding specific permissions to their app’s manifest (Android) or Info.plist (iOS), and then calling our SDK’s location methods in code. If a developer never enables this, the SDK never asks for or touches location data.

2. The user must grant permission at the operating system level. Even after a developer enables location, the user’s device will present a native system prompt — controlled by Apple or Google, not by OneSignal — asking whether the app can access their location. The user can say no. They can say “only while using the app.” They can revoke permission at any time in their device settings.

This is how every modern mobile SDK that supports location works. It is a double opt-in system: developer opt-in, then user opt-in.

What happens when location is enabled

The location data is associated with the user’s device record within the developer’s OneSignal account. It is not sold. It is not shared with third parties. It is not used for purposes outside of the developer’s own messaging campaigns.

The developer decides. The user confirms.

The key distinction in this conversation, and in any conversation about SDK-level data collection, is who makes the decisions.

OneSignal provides tools. We don’t make the choices about how those tools are used in any individual app. The developer decides which features to enable. The operating system enforces user consent. And the user has the final say.

This is true of virtually every major SDK in the mobile ecosystem — analytics, crash reporting, attribution, push notifications. The SDK provides capability. The developer activates it. The user approves it.

What we believe about privacy

We’ve built OneSignal around a principle: give developers powerful engagement tools, and give users control over their experience.

That means:

• Location is off by default and requires deliberate developer action to enable.
• We respect the permission frameworks that Apple and Google have built to protect users.
• We do not sell user data. Period.
• We publish clear documentation on every data point our SDK can collect, and how to configure it.
• Developers can disable location collection entirely with a single line of code.
  

We believe that transparency is the best response to any question about data practices. Not vague reassurances, but documentation, code samples, and clear architecture.

A note on the broader conversation

When any app, government or otherwise, makes choices about what data to collect, those choices deserve scrutiny. That scrutiny is healthy. It’s how the ecosystem gets better.

But it’s important to distinguish between the tool and the implementation. A push notification SDK that supports location-based messaging is not, in itself, a surveillance mechanism — any more than a database is a surveillance mechanism because it can store personal data.

The questions worth asking are: Does the app need this data for its stated purpose? Is the user clearly informed? Can they opt out? Those are questions about app design and policy, not about the underlying infrastructure.

Read the docs

We publish everything. If you want to understand exactly how our SDK handles location, down to the API calls and configuration flags. Here’s where to start:

Location Opt-In Prompt Documentation

Mobile SDK Location Reference

Privacy & Personal Data Overview

We’d rather you read our docs than take our word for it. That’s kind of the point.

OneSignal is the customer engagement platform trusted by one in four app publishers to deliver push notifications, email, SMS, and in-app messages. We believe great messaging starts with user trust.

Six months ago, most marketing teams had AI filtering on their "things to watch" list. Then iOS 26 shipped expanded notification summaries, Gmail started routing messages through Gemini before users ever open their inbox, and the "things to watch" list suddenly became much more immediate.

A new layer of infrastructure, AI filtering, is making decisions about your messages before your customers ever do. How much of your audience is actually seeing what you send? Which channel still has the biggest impact on long-term retention? Is a 9x lift in engagement actually possible, and what's the one variable that explains it?

The 2026 State of Customer Engagement Report is officially out, and aims to equip senders with answers to all of those questions. It's built on aggregated data from the OneSignal ecosystem, billions of messages sent across push, in-app, email, SMS, and RCS, combined with a survey of marketers and product teams across industries.

Download the Report

What follows are the stats that shaped this year's findings, and what they mean for the way you build in 2026.

48% of marketers are already concerned about AI- filtering deciding which messages get seen. 17% say it's already impacting deliverability.

→ What it means

The old assumption that a sent message is a seen message no longer holds. Teams that are still measuring success purely by send volume or open rate are optimizing for a metric that's increasingly disconnected from actual engagement.

The shift this report calls out isn't "should you care about AI filtering?" It's how quickly you build messaging strategies that hold up under it.

Behavior-triggered messages outperform standard sends by 4–9x on CTR.

→ What it means

This is the widest performance gap in this year's data, and it isn't close. A message that arrives because something just happened (a search, a purchase, an abandoned step) earns attention in a way that a scheduled broadcast doesn't, because it maps to a moment the user is already in.

In an AI-filtered world, this structural advantage only grows: messages tied to real behavior signals are more likely to clear OS-level prioritization filters, because they look like what they are: immediately relevant. Teams still running mostly scheduled sends have a clear, high-ROI optimization in front of them.

75.8% of teams say push has the greatest impact on long-term retention in the first 30 days after install, more than email and in-app combined.

→ What it means

The first month is still the fight that matters most. Push isn't losing ground as a retention channel… but the standard for what a good push looks like has risen. Before a notification reaches a user, operating systems are increasingly summarizing, grouping, and suppressing. Which means the first 30 days have become about building an “attention credit score”: demonstrating to the OS, and to the user, that your notifications consistently lead somewhere worth going.

45% of mobile teams are actively exploring or planning RCS adoption in 2026.

→ What it means

RCS is no longer an "eventually" conversation. What the report makes clear is that the teams moving on this now are first in line to earn this new relationship surface. RCS turns the inbox from a place where messages arrive into a place where customers now enjoy a conversational and app-like experience. The expectations for text marketing are about to soar.

63% of teams using automated Journeys report better results with fewer messages sent. 78% report higher revenue from users included in Journey flows.

→ What it means

Automated sequencing is how teams at any size get compounding returns without compounding effort. The data here runs counter to the instinct to "send more." The teams reporting better performance aren't sending more at all; they're sending in the right order, stopping when the job is done, and letting behavior drive when the next message goes out.

The lift is consistent: among teams that can tie Journeys to revenue, the majority are seeing double-digit improvements.

65% of teams say they're experimenting with AI in their messaging workflows. Only 8% have fully operationalized it.

→ What it means

The experimentation phase is widespread, but real integration is rare. That gap makes sense, since AI is arriving faster than most teams can build the governance around it.

The clearest early wins are in low-stakes, high-frequency work: subject line testing, copy variants, send-time optimization. The longer-term promise, AI identifying when a message is warranted versus when silence is better, is where the real leverage sits, and most teams aren't there yet.

Even more insights in the full report…

The 2026 State of Customer Engagement Report not only includes expanded tactics and frameworks for the above findings but also industry-level benchmarks for:

• Push opt-in rates
• Session duration
• 1/7/30-day retention
• Annual churn rates

Download the 2026 State of Customer Engagement Report →

There's a particular kind of irony that only becomes visible in hindsight.

For most of the last decade, mobile engagement teams have been rewarded for speed, volume, and "optimization." We learned, to keep up, we must send more, test faster, find the ceiling and push toward it. More notifications meant more opens, more opens meant more sessions, and more sessions (typically) meant more revenue. The flywheel was spinning, so why slow it down?

What nobody quite anticipated was who else would end up paying attention.

Ready to dive into the second half of this conversation (what to actually do about it?)... The 2026 State of Customer Engagement Report tells all.

How the industry talked itself into sending more

The early days of push notifications truly felt like a gift, didn’t it? For the first time, brands had a direct line to users that didn't depend on an ad buy. Permission was the price of entry, and once you had it, the channel was yours to use.

So teams used it, often thoughtfully at first, then increasingly by default. Weekly sends became daily sends. Segmentation may have gotten more sophisticated, but frequency climbed alongside it. A/B testing made everything feel purposeful, even when volume was the real driver. The industry developed an entire vocabulary around optimization (inbox placement, engagement scoring, send cadence) that was, in practice, mostly about finding smarter ways to… send more.

It worked well enough for long enough that it became a default mental model too. And like most defaults, nobody questioned it until something external forced us to question it.

...and so the mobile engagement playbook began eating itself

As a result of the above-mentioned digital bombardment, we all got a lot better at ignoring things that weren't truly meant for us. We started swiping without reading, leaving notifications stacked, and building habits around Do Not Disturb that effectively carved entire brands out of our day. Sometimes, rightfully so!

Average smartphone users in the US now receive around 46 push notifications daily.

So our platforms began to adapt. Android 13 moved to an explicit opt-in permission model, iOS introduced notification scheduling and priority modes, and more recently, Apple Intelligence began summarizing, grouping, and prioritizing notifications before users ever see them.

Operating systems are now making active decisions about which messages deserve a user's attention, and they're learning from behavior to do it. Which is where the irony starts to sting a little.

The filtering systems being built to protect attention didn't emerge from nowhere. Whether or not the causation is direct, the correlation is hard to ignore: the volume era generated the exact behavior data that teaches today's AI-filtered platforms what "unwanted" looks like.

The new layer between your message and your user

The shift we're talking about isn't theoretical either. Nearly half of mobile marketers are already concerned about AI-driven filtering deciding which messages surface, and nearly a quarter of them say it's actively affecting deliverability.

This is new territory for most teams, because the old variables still feel like the right levers. Sharper copy, better-timed sends, tighter audience definitions, A/B testing like a mad scientist still matter. But, as senders, we must stay conscious of the larger context they take place in: whether the message was warranted by something the user actually did.

The teams that are figuring this out are winning by focusing on “messages of consequence,” those tied to a cart left sitting, a streak about to break, or a personal milestone. Behavior-triggered campaigns consistently outperform standard sends because they arrive when intent already exists rather than trying to manufacture it.

The performance gap is larger than most teams expect: behavior-triggered mobile pushes reach nearly 5x the click-through rate of standard targeted sends, and more than 9x untargeted broadcasts.

How to think about messaging when filters are in the room

The teams that built the current playbook were smart, data-driven, and right for their moment. Of course volume worked when attention was abundant and filtering was minimal. And it makes sense that optimization worked so well when the primary constraint was creative quality, not algorithmic gatekeeping.

But the teams pulling ahead in 2026 have fundamentally changed their starting point. Not “how do we get in front of users?” but “what are our users trying to do, and does our message help them get there faster?” Every decision after those questions, what you build, what you measure, what you deprioritize, tends to follow naturally.

Done well, it tends to show up in the same places: higher retention, revenue that actually holds, and a customer relationship that compounds over time.

Catch the replay of the live webinar tackling this unavoidably consequential topic!

The conversation coincides with the release of our 2026 State of Customer Engagement Report, which will unpack everything in even more detail. The timing couldn't be better.

There are very few channels where a single sentence can pull a user back into your product within seconds. Unlike email, which competes with a crowded inbox, or social channels, which depend on an algorithm, a push notification lands on the device’s lock screen the moment it’s sent.

But directness is a double-edged sword. A poorly timed, irrelevant notification is ignored at best, and provokes an app uninstall at worst. This guide covers the strategy, copywriting, and technical fundamentals that separate push notifications people tap from push notifications people turn off.

For a comprehensive primer, start with The Ultimate Guide to Mobile Push Notifications.

What are push notifications and why do they matter?

A push notification is a short, clickable message sent directly to a user’s device, even when your app or website isn’t open. They’re used for everything from order confirmations and breaking news alerts to promotional offers and re-engagement nudges.

What makes them effective is immediacy. A push notification is visible within seconds of being sent, and users interact with it (or dismiss it) in real time. Industry data shows that push-enabled users are significantly more engaged than those who haven’t opted in, with some studies reporting engagement lifts north of 80% depending on the vertical.

That said, users have full control. Both iOS and Android give people granular options to mute, schedule, or disable notifications entirely. This means earning and keeping that permission is the foundation of any effective push strategy.

Platforms that support push notifications

Push isn’t limited to mobile. While mobile app push (iOS and Android) is the most common format, web push reaches users through desktop and mobile browsers—useful for cart abandonment, price drop alerts, and re-engagement when someone doesn’t have your app installed. Beyond those two, push notifications also reach connected TVs (content recommendations, new episodes), wearables (real-time fitness updates, ride-share ETAs), and increasingly AR/VR headsets for immersive experiences.

For a deeper look at web push specifically, see Top Push Notifications for Websites to Drive User Engagement.

How push notifications work

At a technical level, a push notification moves through three layers. First, your app or website registers the user’s device with the operating system’s push gateway—Apple Push Notification service (APNs) for iOS or Firebase Cloud Messaging (FCM) for Android. The gateway returns a push token: a unique identifier that acts as the delivery address for that specific device.

From there, messages are sent in one of two ways. Most marketing and product teams use a customer engagement platform like OneSignal to build, segment, personalize, and schedule messages through a visual dashboard. Engineering teams can also trigger notifications programmatically via API calls—useful for transactional messages or CMS-driven alerts that fire automatically when content publishes.

For iOS-specific guidance, see Apple Push Notification Best Practices.

Sending at scale

Sending a push to 100 users is trivial. Sending to 10 million during a flash sale or breaking news event is an infrastructure problem. Your provider needs to handle burst traffic without introducing delivery delays—and should offer rate limiting so a massive campaign doesn’t overwhelm your own backend servers with the resulting inbound traffic.

Crafting push notifications that get tapped

A notification has roughly two seconds to justify its existence on someone’s lock screen. Every element needs to earn its space.

Title (50 characters max): This is your hook. It should communicate the core value or action in a single glance. “50% off ends tonight” is specific and urgent. “Exciting news inside!” is not.

Body (14–25 words): Expand on the title with just enough detail to make the tap feel worthwhile. State the benefit, not the feature. Put the most important information at the beginning—notification trays often truncate after two lines.

Call to Action (CTA) / Action buttons: These let users act directly from the notification without opening the app. “Add to Cart,” “View Order,” or “Book Now” reduce friction and drive measurably higher conversion rates than notifications without them.

Copy Tips

Write like a human, not a billboard. Avoid all-caps and generic promotional language. Use numbers and specifics (“3 items left” beats “Limited stock!”). Stay consistent with your brand voice, and always proofread—a push notification is a tiny canvas where typos are glaring.

For more on personalization in copy, read How to Personalize Push Notifications.

8 push notification best practices for higher engagement

1. Use push as a retention channel

The highest-value push notifications bring lapsed users back. A well-timed re-engagement message—reminding someone of an incomplete action, a new feature, or content they’d care about—is worth more than a generic promotional blast to your entire subscriber base.

2. Earn permission with a soft prompt

On iOS, you get one shot at the system-level permission dialog. Use a “push primer” first: a custom in-app screen that explains the specific value of opting in (“Get notified when your order ships”) before triggering the native prompt. This approach consistently lifts opt-in rates.

3. Account for Android vs. iOS differences

Behavior differs across platforms in ways that affect strategy. On iOS, opening one notification clears the rest from the lock screen, so if you’re sending multiple messages in a window, the first one read may be the only one seen. Android handles notification grouping differently and gives users more granular channel-level controls. Test on both.

4. Optimize timing and frequency

The best notification sent at the wrong time is still a bad notification. Use send-time optimization to deliver each message when the individual user is most likely to be active, rather than blasting your entire list at 10 AM. And respect frequency: more than a few messages per week starts to erode trust for most use cases.

5. Personalize beyond the first name

Inserting “Hi {first_name}” is table stakes. Real personalization means using behavioral data—browsing history, purchase patterns, feature usage—to send content that’s relevant to each user. A fitness app notifying a runner about a new 5K route near them is personalization. A generic “Check out what’s new!” is not.

6. Use deep linking

Every push notification should land the user on the exact screen that’s relevant to the message. Sending someone to your app’s homepage after they tapped a notification about a specific product is a conversion killer. Deep links eliminate that friction.

7. Track the right metrics

Monitor opt-in rates, direct open rates, influenced opens (when a user opens the app shortly after receiving a notification), and downstream conversion events. Looking at delivery rates alone tells you nothing about whether your messages are working.

8. Analyze long-term trends

A new campaign type might spike engagement initially due to novelty, then regress. Look at 30-, 60-, and 90-day trends to distinguish real performance improvements from short-term effects. This is also how you catch frequency fatigue early.

For more on thinking about push in context with your broader messaging strategy, read Stop Thinking in Channels, Start Thinking in Contexts.

Push notification best practices in action

📲 Beach Bum Games (Mobile Gaming)

Challenge: Despite building engaging card and board games, Beach Bum’s generic push notifications never broke 1% click-through rates. Re-engagement was an afterthought.

Solution: The team used OneSignal’s data tags to personalize messages based on player behavior—session duration, quest progress, and play style—creating targeted re-engagement campaigns instead of one-size-fits-all blasts.

Results: Push CTR jumped from under 1% to 12%. Quest-based personalization drove a 250% increase in engagement, and paid user activation rose 140% within 10 days.

Read the full story: Beach Bum Games case study

📲 Gedi Digital (Media & Publishing)

Challenge: As the publisher behind La Repubblica and Radio Deejay, Gedi needed real-time delivery for breaking news and live events—but their legacy messaging tool lacked segmentation, analytics, and API integrations.

Solution: Gedi switched to OneSignal to power push across its portfolio of newsrooms, streaming platforms, and radio brands, using APIs to personalize alerts based on article topics and authors.

Results: iOS subscription activations grew 80% year-over-year, delivery delays were eliminated, and editorial teams gained full visibility into engagement metrics for the first time.

Read the full story: Gedi Digital case study

📲 Whisker (E-Commerce / Pet Technology)

Challenge: With over a million customers, Whisker (maker of Litter-Robot) needed to drive repeat purchases and cross-sell accessories through mobile—but marketing and product teams were operating in silos.

Solution: Whisker unified mobile engagement through OneSignal, segmenting audiences by purchase history, subscription status, and platform preferences to deliver targeted push campaigns.

Results: Mobile-driven sales increased 20%, and new subscription signups rose 4% from push-driven efforts—all while improving the cross-functional workflow between marketing and product.

Read the full story: Whisker case study

How to measure push notification success

Opt-in rate: The percentage of users who grant push permission. If it’s low, your permission prompt isn’t communicating enough value. A/B test your push primer copy and placement.

Open rate (direct and influenced): A direct open means the user tapped the notification. An influenced open means they opened the app within a short window after receiving it. Tracking both gives a more complete picture of impact than direct opens alone.

Conversion rate: Define a single, clear conversion event per campaign—a purchase, a booking, a form submission—and measure whether the push drove it. Muddying the goal makes optimization impossible.

Revenue attribution: Connect push campaigns to purchase events and user lifetime value. This is how you prove ROI to the business and justify continued investment in the channel.

Watch Push Notification Best Practices & ROI for a walkthrough of these metrics in practice.

How to choose a push notification service

Strategy only scales if the underlying platform can support it. When evaluating a push notification service, look for these capabilities:

Advanced personalization: The ability to use behavioral data, user properties, and deep links to tailor each message—not just merge fields.

A/B and multivariate testing: Built-in experimentation tools so you can test subject lines, send times, CTAs, and content variations without hacking together a manual process.

Intelligent send-time optimization: Automated delivery timing based on each user’s historical activity patterns, not just a single scheduled blast.

Cross-channel coordination: Push doesn’t exist in isolation. Your platform should support email, SMS, in-app messaging, and other channels so you can orchestrate automated journeys, not just send individual messages.

Actionable analytics: Dashboards that go beyond delivery counts and show you open rates, tap behavior, conversions, and full-funnel attribution.

For a detailed comparison of how leading platforms stack up, see Top Braze Alternatives for Email & Push in 2026.

Final thoughts

The fundamentals of effective push haven’t changed: earn permission, send relevant content, time it well, land users on the right screen, and measure what happens next. What has changed is the bar. Users in 2026 have finer-grained notification controls than ever, and the gap between a push strategy that feels helpful and one that feels intrusive is narrower than it’s ever been.If you’re building or refining a push program this year, the practices in this guide are a solid foundation. And if you’re evaluating platforms, OneSignal offers a free account so you can test these strategies with real users before committing.

Business messaging has moved well past the era of one-way text blasts. In 2026, customers expect branded, interactive conversations, not 160-character afterthoughts. They want to browse a product carousel, confirm an appointment, or track a delivery without ever leaving their messaging app.

Rich Communication Services (RCS) is the protocol making that possible. Built on top of the native messaging client, RCS gives businesses the rich media, verified branding, and built-in interactivity that SMS and MMS were never designed to deliver.

Below, we’ll walk through exactly how RCS compares to MMS (and SMS), then cover the five clearest signs your team is ready to make the switch.

Understanding the messaging landscape: RCS vs. MMS

What is MMS?

Multimedia Messaging Service (MMS) was introduced as an upgrade to SMS, adding support for images, short video clips, and audio files. It was a meaningful step forward at the time, but its limitations are hard to ignore in a modern messaging strategy:

File size caps are tight. Most carriers enforce a limit between 1 and 5 MB, which means compressed images and heavily cropped video. Send anything larger and the message may fail or degrade in quality.

No interactivity. An MMS message is static. There are no tappable buttons, no carousels, no suggested replies. Just media and text.

No sender verification. MMS messages arrive from a phone number or short code with no brand name, no logo, and no visual indication of legitimacy. That makes them easy to ignore and even easier to mistake for spam.

Minimal analytics. You get delivery confirmation and not much else. Whether a customer actually opened or engaged with the message is largely a black box.

What is RCS?

RCS is a next-generation messaging protocol that runs over data or Wi-Fi and delivers an app-like experience inside the phone’s native messaging client. According to Google’s RCS Business Messaging documentation, the protocol supports:

Verified sender profiles that display your brand name, logo, and colors, so customers know immediately that the message is legitimate.

High-resolution media sharing, with support for images and video files up to 100 MB—roughly 20x the ceiling of a typical MMS.

Interactive carousels that let customers swipe through products, offers, or options directly inside the message thread.

Suggested replies and action buttons (e.g., “Add to Calendar,” “View Website,” “Call Us”) that guide customers toward the next step without requiring them to leave the conversation.

Read receipts and typing indicators that give your team real-time visibility into engagement.

Detailed analytics including open rates, button taps, and carousel interactions—data you can actually use to optimize future campaigns.

For a deeper dive into RCS capabilities, see our Ultimate RCS Messaging Guide for Business Texting Success.

RCS vs. MMS vs. SMS at a glance

For more on how SMS and RCS compare head-to-head, read What Is the Difference Between SMS and RCS?.

5 signs your business is ready for RCS in 2026

1. Your engagement metrics have hit a ceiling

If your SMS and MMS campaigns are generating the same (or declining) click-through and conversion rates quarter over quarter, you’re likely dealing with audience fatigue. Plain-text messages and low-res images only hold attention for so long.

RCS changes the equation. Rich cards, tappable product carousels, and embedded CTAs make messages genuinely useful rather than interruptive which translates directly into higher engagement. Businesses using RCS have reported click-through rates between 15–30%, compared to the 4–7% typical of SMS campaigns.

Read more about what’s driving this shift in Why RCS Matters Now—and Why OneSignal Is Investing Deeply in It.

2. You need to build stronger brand trust

Customers are increasingly skeptical of messages from unknown numbers. If your open rates are suffering (or worse, your messages are being flagged as spam) it’s a credibility problem that better copy alone won’t fix.

RCS verified sender profiles display your brand name, logo, and a verification badge directly in the message thread. That visual proof of legitimacy is the difference between a message that gets opened and one that gets deleted on sight.

3. You want in-thread customer journeys, not fragmented ones

Traditional messaging forces a clunky handoff: a customer receives a text, taps a link, waits for a mobile browser to load, then tries to complete an action on a (hopefully) responsive webpage. Every step in that chain is a drop-off point.

With RCS, the entire journey happens inside the conversation. A customer can browse a product carousel, select an option, confirm a booking, or check a delivery status, all without leaving the messaging app. That reduction in friction compounds quickly across millions of messages.

We break this down further in The In-Thread Experience: SMS vs. RCS vs. WhatsApp.

4. Your team needs deeper campaign analytics

If your messaging reporting is limited to “delivered” and “not delivered,” you’re making optimization decisions with incomplete data. SMS and MMS don’t tell you whether a message was read, which offer a customer was interested in, or where in the message they lost interest.

RCS fills those gaps. Read receipts show you exactly who engaged. Button and carousel tap data reveal which content resonated. That level of granularity lets you A/B test with precision and iterate on messaging strategy with real evidence, not guesswork.

5. You’re building an automated messaging strategy at scale

As your customer base grows, manually managing communications is not sustainable. You need a channel that pairs rich content with automation.

RCS was designed for exactly this. An abandoned cart workflow can surface a carousel of the products a customer left behind, complete with images, prices, and a “Complete Purchase” button. A travel brand can send a boarding pass with a QR code and a “View Flight Status” button, all triggered automatically. These aren’t hypothetical use cases; they’re the kind of automated journeys RCS makes straightforward to build.

For more on combining RCS with automation, see Next-Gen SMS & RCS: Automation for 2025 Engagement.

Best practices for your first RCS campaign

Ready to launch? Keep these principles front and center:

Start with a single, measurable goal. Whether it’s driving purchases, booking appointments, or collecting feedback, define what success looks like before you build the first message.

Use rich media with purpose. High-resolution images and carousels should clarify your offer or make it easier to act, not just make the message look busy.

Guide users with clear actions. Every RCS message should include a suggested reply or CTA button that makes the next step obvious. Don’t make customers guess what to do.

Keep branding consistent. Your verified sender profile, color palette, and tone should match the rest of your brand experience. Inconsistency erodes the trust RCS is designed to build.

Measure, learn, iterate. Use read receipts, button tap data, and carousel engagement metrics from your first campaigns to refine your approach before scaling.

Get the free RCS figma kit for access to the building blocks you need for creating your own RCS messages. Whether it's exploring different use cases or designing mockups for internal stakeholders, this is the best place to start (includes RCS assets for iOS and Android.)

Making the strategic shift to RCS

Upgrading to RCS is not a technical advancement alone. It’s a strategic decision to meet customers where they already are, inside their messaging app, with experiences that are branded, interactive, and measurable.

If the signs above feel familiar, 2026 is the year to stop treating messaging as a notification channel and start treating it as a full customer engagement platform. The businesses that make this shift early will own the most direct, most personal communication channel their customers have.

Get in touch with our team to discuss your options, or if you're ready to explore the full suite of mobile customer engagement channels, jump into OneSignal (on us!)

While sending the first push notification is a common entry into proactive customer messaging, a single-channel strategy is inherently limited. Relying on one communication method creates significant blind spots, leading to user fatigue and diminished returns. The future of effective engagement requires moving beyond isolated campaigns to build cohesive, cross-channel experiences.

To orchestrate intelligent communication that builds trust and relationships with customers in an increasingly complex digital world, businesses must adopt a unified platform. This approach is the strategic solution for creating sophisticated conversations that foster lasting loyalty.

The constraints of a single-channel strategy

The hypothesis that a single communication channel, like push notifications, is sufficient for customer engagement is flawed. This siloed approach inevitably fragments the customer experience and introduces several risks.

• Channel Blindness and User Alienation: Customers have distinct preferences for how they receive information. Overusing a single channel ignores these preferences, leading to high opt-out rates and a negative brand perception. The risk is not just that a message is missed, but that the customer actively tunes the brand out.
• Incoherent Customer Experiences: A single-channel tool lacks the full context of a user’s journey. A push notification about an abandoned cart feels intrusive if it fails to account for a recent support ticket or a separate purchase. This lack of coordination erodes trust and makes a brand appear disorganized.
• Fragmented Data and Missed Insights: When user interaction data is stored in separate, channel-specific tools, it creates data silos. This prevents a holistic view of the customer, making true personalization impossible. In fact, 86% of marketers now prioritize adopting a Customer Engagement Platform (CEP) to overcome the data fragmentation of older, single-channel tools.

Defining the unified customer engagement platform

A unified customer engagement platform is more than a bundle of messaging tools. It is a centralized system that integrates customer data and orchestrates communication across all touchpoints. Three core components define this model.

1. Unified Customer Profile: The platform's foundation is its ability to centralize data from disparate sources, including app activity, website behavior, and purchase history. It unifies this information into a single, real-time customer profile, creating a complete and actionable view of every user.
2. Omnichannel Orchestration: With a unified profile as the single source of truth, businesses can design and automate intelligent customer journeys that span multiple channels. The platform selects the right channel for the right message at the right time, whether that is email, SMS, push, or in-app messaging.
3. Actionable Behavioral Data: A modern platform empowers marketing and product teams to use behavioral data without engineering dependencies. This allows marketers to create event-based triggers that respond instantly to user actions, making it possible to act on every moment that matters.

Building a cohesive strategy with multiple channels

A unified engagement platform allows you to deploy each channel for its specific strengths, creating a communication strategy that is more effective than the sum of its parts.

The Role of Push, In-App, and Next-Generation Messaging

Push notifications, in-app messages (IAM), and next-generation messaging like RCS work best as part of a coordinated messaging strategy. Each has distinct strengths. Push notifications are ideal for time-sensitive alerts that re-engage users outside the app, while in-app messages are perfect for onboarding and feature announcements to an already active audience. Using these channels in a coordinated flow, guided by a unified platform, mitigates their individual weaknesses and creates a seamless user journey.

SMS and RCS: The Future of Business Texting

SMS is a high-impact channel with unparalleled open rates, making it a critical tool for urgent communications. This power means the best sms software must provide the context to ensure every text is valuable. Standalone bulk sms service providers cannot offer this context. Effective business texting solutions are integrated within a unified platform, allowing you to trigger texts based on actions taken in other channels. This ensures your SMS marketing for small and mid-sized businesses is both timely and relevant.

Rich Communication Services (RCS) elevates standard SMS with branding, rich media, and interactive carousels. The advantages of RCS create a strategic inflection point for brands that want to turn messaging into intelligent experiences.

Email: The Foundation for Rich Content

Email remains the ideal channel for delivering detailed content like newsletters, promotional campaigns, and educational sequences where immediacy is not the primary goal. The best email marketing software is not a standalone tool but part of a larger ecosystem. An integrated solution allows you to trigger a follow-up push notification based on an email click or segment users for a different channel if they do not open an email. This interconnectedness is essential for brands that want to succeed with a holistic omnichannel commerce strategy.

Key capabilities of a modern engagement platform

When evaluating a unified customer engagement platform, look for these essential features:

• Advanced Automation & Journey Orchestration: The ability to build complex, trigger-based workflows that guide users through a personalized journey across multiple channels.
• Deep Segmentation: Move beyond static demographics to segment users based on real-time behavior, predictive traits, and historical events.
• Robust Channel Support: Native support for all key channels, including Push Notifications, Email, SMS, RCS, Live Activities, and In-App Messaging.
• Personalization at Scale: Tools that use dynamic content to make every message feel relevant. However, personalization is challenging; getting it wrong with outdated data is often worse than sending a generic message. A modern platform must have robust, real-time data capabilities to mitigate this risk.
• Analytics and Reporting: A unified dashboard to measure performance across all channels, attribute conversions accurately, and understand the customer journey holistically.

From campaigns to conversations

The future of customer engagement is not about sending "batch-and-blast" campaigns through a single channel. It is about creating continuous, intelligent conversations with customers wherever they are. Adopting a unified customer engagement platform is a strategic decision that shifts focus from channel-specific tactics to a holistic, customer-centric model that drives loyalty and growth.

By unifying data and orchestrating communications, businesses can solve the challenges of channel blindness and data fragmentation to deliver superior experiences. It is why one in every five new apps uses a platform like OneSignal to connect with customers, turning one-way messages into the meaningful dialogues that build lasting businesses.

If you're reading this, you've likely used or evaluated Braze for your customer messaging and are now looking for a more pragmatic alternative. Many mid-market, mobile-first product teams find themselves in this position. While powerful, the platform often comes with challenges: high costs that can quickly reach six figures, a steep learning curve requiring dedicated engineering resources, and a complex feature set that may be more than you need.

These are the real-world tradeoffs, implementation realities, and time-to-value for the top Braze competitors, helping you find the right fit for your team.

Braze alternatives: quick recommendations

Here's a quick look at the top recommendations for mid-market mobile apps searching for Braze competitors.

• OneSignal: The best fit for scaling teams prioritizing powerful, reliable push notifications, omnichannel support, fast time-to-value, and a developer-friendly experience with predictable pricing.
• Customer.io: A strong choice for teams needing highly flexible, event-driven segmentation and workflow logic, especially those with complex data models.
• Iterable: Suited for larger B2C companies that need enterprise-grade, cross-channel journey orchestration and have the budget and resources to manage it.

Making the decision

• Pick OneSignal if your core need is best-in-class mobile push, you want to get live in days not months, and you need a tool that both engineers and marketers can easily use. It is a powerful customer engagement platform.
• Pick Customer.io if you live and breathe complex user event data and need to build highly custom, logic-heavy journeys with conditional branching.
• Pick Iterable if you have a dedicated team to manage the platform, and need to orchestrate campaigns across a wide array of channels beyond just mobile.

Braze competitors compared (email + push + journeys)

For mid-market mobile apps, the most important factors are often different from what enterprise-focused platforms emphasize. The simplest way to compare Braze alternatives is to ignore marketing jargon and focus on the core jobs-to-be-done for your product team.

Push notification services comparison: what actually matters

For mobile-first teams, push notifications aren't just another channel; for many users, they are the product experience. When conducting a push notification services comparison, you need to look beyond the basic question of "can it send a push?"

Here are the key criteria to evaluate:

• Delivery & Reliability: Can the platform send messages based on a user's local time zone? Does it offer rate limiting to prevent you from accidentally spamming users? Does it have intelligent delivery to send messages when users are most active, while respecting quiet hours?
• Rich Push Capabilities: How easy is it to include images, action buttons, and other interactive elements in your notifications? These are essential for driving engagement.
• SDK Footprint & Stability: A software development kit (SDK) is the code you put in your app. A lightweight, stable SDK is critical for your app's performance and won't cause headaches for your developers.
• Localization: Your app may have a global audience. The platform should make it easy to send the same message in multiple languages without needing complex workarounds.

Platforms like OneSignal are built with a mobile-first DNA, excelling in these areas and offering advanced features to optimize your messaging strategy. The broader market for push platforms continues to evolve, with a focus on streamlining this core channel for product teams.

Compare email marketing services: a mobile-first checklist

When you compare email marketing services from a mobile-first perspective, your needs are different from those of a traditional marketing team focused on newsletters. Here is a checklist to guide your evaluation:

• Programmatic & API-driven: How easily can you trigger transactional emails—like password resets, shipping confirmations, or welcome messages—based on real-time events happening in your app? This should be a core function.
• Template Management: Can your developers easily use programmatic templates with variables, or are they forced into a clunky drag-and-drop editor that wasn't built for transactional messages?
• Deliverability Controls: Does the platform give you the tools to manage your sending reputation? This includes IP warming for new accounts and clear handling of bounces and complaints to protect your sender score.
• Preference Center: How easy is it for users to manage their email preferences for different types of communication (e.g., opting out of promotions but still receiving security alerts)?

Many traditional email platforms reviewed by analysts focus on criteria for large-scale, newsletter-based marketing, which may not align with the needs of a modern product team.

When Braze is still the right choice

To be fair, Braze can be the right choice for a specific type of customer. If you are an organization with a highly-resourced, specialized team and a multi-million dollar budget, its comprehensive feature set might be a fit.

For companies with a dedicated engineering team whose sole job is to manage the engagement platform, Braze can be a powerful tool. Its architecture is built for complex data models at a massive scale. However, this power comes at the cost of speed and accessibility, which is why many mid-market teams seek alternatives.

Migration and switching costs (what teams underestimate)

Most teams underestimate these switching costs when migrating from engagement platforms like Braze. It's more than just signing a new contract. Be prepared for:

• Historical Data & User Profiles: Moving years of user event history and custom attributes is a significant technical project.
• SDK Rip-and-Replace: Swapping out the SDK in your app is not a simple find-and-replace. It requires developer time on every platform (iOS, Android, web) and extensive testing.
• Rebuilding Journeys & Campaigns: Every automated workflow, segmentation rule, and message template you've built needs to be recreated from scratch in the new tool.
• Team Retraining: Your product managers, marketers, and growth specialists all need to learn a new interface, new terminology, and new capabilities.
• Deliverability Ramp-Up: For email, you'll need to warm up new sending IPs. This is a careful process that can take several weeks to build a good sending reputation.

FAQ: Braze alternatives and competitors

Q: What are the best Braze alternatives for a mid-market mobile app?

A: For mid-market mobile-first teams, the top alternatives are typically OneSignal, Customer.io, and Iterable. The best choice depends on your priorities: OneSignal for best-in-class push and ease of use, Customer.io for data flexibility, and Iterable for enterprise-scale journey building.

Q: How does OneSignal compare to Braze?

A: OneSignal is a powerful alternative to Braze for teams that need to move faster and more efficiently. It offers superior push notification capabilities, a much quicker implementation time (days versus months), and more predictable, scalable pricing for the mid-market. The platform is designed for both developers and marketers to use collaboratively, democratizing customer engagement for businesses of all sizes.

Q: What should I look for in a push notification services comparison?

A: Look beyond basic sending capabilities. The most critical factors are delivery reliability (including time zone sending and rate limiting), rich push support (images, buttons), SDK stability and performance, and easy-to-use localization features. These are what determine the quality of your user experience.

Q: How do I compare email marketing services if I'm mobile-first?

A: Prioritize a strong API for triggering programmatic emails from in-app events. Also, look for developer-friendly templating and robust deliverability controls (IP management, bounce handling). A clunky, marketing-focused newsletter builder is often less important for product-led teams.

Glossary

• CDP (Customer Data Platform): A system that collects customer data from all sources (app, website, etc.) and unifies it to create a single, coherent profile for each user.
• Journeys (or Workflows): Automated, multi-step messaging sequences that are triggered by user behavior or attributes. They are designed to guide users through a lifecycle, such as onboarding or re-engagement.
• Segmentation: The process of dividing your total user base into smaller groups based on shared characteristics. For example, creating a segment of "users who signed up in the last 7 days but haven't completed onboarding."
• Deliverability: A measure of how successfully your emails and push notifications reach their intended destination (an inbox or a device screen), avoiding spam folders or being blocked by servers.

AI is accelerating discovery in ways that are fantastic for users... and mildly terrifying for anyone focused on lifetime value (LTV).

Users are increasingly finding apps through summaries, recommendations, and “do it for me” answers rather than classic keyword intent. Even the App Store is now compressing discovery with AI. Apple introduced AI-generated review summaries in iOS 18.4, so users can scan a ‘gist’ of sentiment without reading the full review trail.

So more users may end up arriving… but with less context attached.

We’ve seen what happens when the first sessions carry that much weight. OneSignal started as a mobile game studio, where you learn fast that you don’t get infinite chances to earn a habit—if players don’t “get it” early, they churn. A decade working alongside some of today’s most inventive mobile brands has reinforced the same lesson: the install isn’t a reliable proxy for intent anymore. The advantage is how quickly you can reconstruct it after install, before attention fades.

Below are three retention shifts we’re seeing leading mobile teams lean into right now, and the practical ways they’re turning them into durable LTV in 2026.

1. Less “teaching.” More qualifying: The new job of onboarding & early lifecycle

This will sound familiar: “The first-run experience matters.” True. But in 2026, the job of early lifecycle has evolved a bit from teaching to triaging. It’s no longer enough for the mobile onboarding experience to be a feature tour, no matter how many intuitive carousels you have at your disposal.

Teams are increasingly using those first few critical moments of the app experience as an intent reconstruction layer of sorts. The place where you quickly answer, “Is this user here to browse, to buy, to learn, or to solve a specific problem right now?”

What this looks like in practice…

Treat Day 0–Day 3 as an “intent capture window.”
In-app prompts and early push should not rush to convert. Their job as of now should be primarily dedicated to reducing uncertainty.

For example, try asking one high-value question early (not five).

One high-leverage question we’re seeing work: ‘What are you here for today?’ (choose one). That single choice can immediately route users into a different first-week cadence—e.g., ‘Browse’ gets lighter, fewer pushes and more in-app guidance, while ‘Buy’ triggers time-sensitive offers and back-in-stock alerts, and ‘Learn’ gets a short educational sequence delivered via in-app + email.

This is where you end up capturing durable first-party data you can use to personalize across channels.

Instrument “micro-intent events” (for marketers and developers).
Ask your dev team to emit events that represent commitment, not just activity:

• Saved item
  
• Followed topic
  
• Completed first meaningful action
  
• Viewed pricing / initiated checkout
  
• Returned within 24 hours

Those become the triggers for Journeys that feel helpful instead of pushy.

2. Some segments should expire

Segmentation has always been about relevance. The problem is that many “dynamic” segments were dynamic in name only.

They’re built around long-lived identities (“sports fans,” “deal seekers,” “new users”) and updated just often enough to feel modern. But intent behaves much more like a heartbeat: it spikes, fades, and resurfaces… sometimes in a matter of hours. (This heart has an arrhythmia!)

Today’s best mobile segmentation strategies must be designed with decay, clean exit logic, and re-entry baked in, so users flow in when intent is hot, drift out when it cools, and don’t get hammered with yesterday’s relevance.

For example: if a user triggers ‘interest in X’ (views/reads/watches X twice), they enter the segment. But if they don’t take any X-related action for 7 days, they automatically exit, and the Journey shifts to a low-frequency ‘check-in’ instead of continuing the same theme.

The three segmentation failure modes we keep seeing:

• Segments that live too long
  “Interested in X” shouldn’t mean “Interested in X forever.”
  
• Segments treated like identities
  Users aren’t “a boxing fan.” They’re “someone who cares about boxing during major fights.”
  
• No exit logic
  Teams build entry conditions…and forget to design the off-ramp. That’s how you get repetition, fatigue, and churn.

Dynamic segments need:

☑️ Entry logic (what behavior indicates rising intent?)

☑️ Decay logic (when does intent likely fade?)

☑️ Exit logic (what removes them cleanly?)

☑️ Re-entry logic (how do they come back in without feeling spammed?)

A practical model: “Spike → Sustain → Sunset”

Here’s a simple pattern that works across verticals:

• Spike (0–48 hours): high relevance, low friction
  Push: “New drop / new match / new deal”
  In-app: contextual modules, not popups
  
• Sustain (3–14 days): deepen value, build habit
  Educational nudges, progressive personalization
  
• Sunset (after inactivity threshold): respectful pause + re-qualification
  “Still want updates on X?” + preference controls

And yes. This is where automated mobile messaging earns its keep. Journeys should feel like they’re responding to the user’s momentum, not so much dragging them through your campaign calendar.

3. The retention moat AI can’t clone

AI can deliver content instantly. What it can’t replicate is belonging. The feeling that “people like me are here, and what I do matters.”

We see this as perhaps the most overlooked differentiator for teams heading into 2026: participation turns users from consumers into collaborators.

Content can be commoditized and recommendations can be automated, but contribution is truly earned.

The apps that win in 2026 will create loops where users receive value AND add value.

What participation can look like (without building a full social network)

You don’t need forums to build community gravity. Start smaller:

Polls and predictions that feed back into the experience
We heard a great example of this during our time at Surge London, speaking to some of Europe's most forward-thinking product, growth, and engagement leaders.

Charlie Carmichael, Head of Audience at News Broadcasting, shared a powerful illustration:

→ When their on-air pundits debate who’s likely to win the Premier League title, they don’t want listeners to be passive. Instead, they push a live poll in the app asking fans for their predictions.

→ Those results are fed back to the pundits an hour later, sparking a follow-up discussion influenced directly by audience input.

→ The segment gets clipped for YouTube, then delivered back to the very fans who participated in the poll—closing the loop and making them feel like co-creators in the experience.

Any app can borrow this pattern: ask for a small contribution, reflect it back in a way the user can see, then re-deliver the outcome to the people who participated. That could be as simple as “vote on what we cover next,” “help rank what’s most useful,” or “choose the next challenge/reward.”

What makes it sticky is the feedback: Instead of tapping and disappearing, users get proof that their input shaped what happened next. In a world where AI can generate infinite content, this is how you create something AI can’t: a feeling of authorship.

Consequence’ doesn’t always mean building what users request. It can be a personalized outcome (their feed/alerts change immediately), visible prioritization (their input moves something into ‘planned/shipping’), or a transparent ‘not now’ that explains the tradeoff.

Think about it this way: If you can name the moment where user input re-enters the product experience, you’ve built participation; if you can’t, you’ve built a survey.

Real retention is a relationship discipline

The brands that diagnose intent, adapt to fluctuating attention, and consistently deepen a sense of belonging will see better Day 30 retention—sure. More importantly, they’ll see higher LTV, more predictable revenue, and a customer base that’s harder to displace when the next AI gatekeeper changes the rules again.

If you want help operationalizing these ideas across push, in-app, email, the text inbox, and beyond, this is exactly what OneSignal was built for: turning nuanced behavior into Journeys that feel timely, personal, and genuinely worth opting into.

Try out OneSignal (on us) and build retention that holds up in 2026… even as discovery continues to get weirder.

There is a tired religion in software: acquisition is growth.

But customers don’t want to “be acquired.” Customers reward trust and relationships that are built over time: the right first impression, a conversation that stays relevant, and a relationship that doesn’t decay the moment you sign up.

OneSignal’s platform facilitates our customer’s ability to onboard, engage, and retain their users in order to deliver real growth in this increasingly noisy AI world.

Onboard: Ending the cold start

Onboarding is where good intent goes to die, often because the first week is friction disguised as “setup.”

This year, we kept attacking that cold start from multiple angles. We made Journeys easier to begin with quickstart Segments and quickstart templates, so teams can launch a real lifecycle motion without inventing everything from scratch (see: What’s New: Building a More Powerful & Personal Journey Experience).

We also pushed toward “less waiting on engineering.” With OneSignal Events, marketers can bring behavioral data in and act on it—segment, trigger, orchestrate—without turning every new idea into an internal ticket queue (see: Introducing OneSignal Events).

And onboarding isn’t only about “getting your first message out.” It's to get the right message on the right channel. So, we leaned in to the power of RCS and focused on making adoption feel straightforward (see: RCS Has Entered the Chat).

Engage: Replace broadcasting with judgment

This year we made Journeys more responsive. Think less “wait three days because the flowchart says so,” and more “wait until the user actually does the thing.” Features like multi-split branching, scheduling, and collaboration notes helped teams treat Journeys like a living program, not a one-time campaign artifact (see: Building a More Powerful & Personal Journey Experience).

Then we took a larger step: Journeys gained a “Wait Until” action, so flows can advance on real conditions instead of arbitrary delays—because customers don’t live on your calendar, they live in their own intent (see: OneSignal Fall 2025 Release).

Across channels, we made engagement feel more alive. SMS got keyword automation for instant, relevant responses. Email got Intelligent Delivery to meet users when they’re most likely to engage—and a template library with visual previews so teams can move faster without sacrificing quality (see: What’s New: Intelligent Journeys, Smarter Messaging).

And because “personalization” is often a polite synonym for “stale data,” we shipped Data Feeds so email content can pull fresh information at send time—what’s true now, not what was true when the campaign was built (see: OneSignal Fall 2025 Release).

Retain: Build the feedback loop

Retention is the only honest metric. Everything else can be rehearsed.

So we worked on the loop that makes lifecycle programs improve. Message Event Segmentation lets teams build audiences from real message behavior—opens, clicks, bounces—so targeting can be based on evidence, not superstition (see: OneSignal Fall 2025 Release and Stop Guessing, Start Targeting).

We also invested in measurement that leads to decisions. Engagement Trends brought a clearer, channel-by-channel view of performance over time (see: Engagement Trends).  And analytics upgrades like template analytics and individual link analytics helped teams move past “a click rate happened” into “this is what people cared about” (see: Analytics Upgrades).

Retention is not a single feature. It is a system that keeps learning and growing.

Looking forward in 2026

The next year is about compounding what matters most.

Our product themes for 2026 sharpen into a few clear bets:

→ We will keep retention as the outcome that matters. because it is the proof that onboarding and engagement were real in the first place.

→ We will improve win rate by making OneSignal easier to understand, easier to adopt, and harder to out-evaluate—polish is not cosmetic; it’s a conversion surface.

→ We will expand through market-leading AI, but with taste: AI that removes work and advances outcomes. Not “AI for specialists,” but practical intelligence that helps teams overcome onboarding cold starts, gain engagement intelligence, and build outcome-driven campaigns. You’ve already seen early steps like AI-assisted creation and analytics guidance (see: OneSignal Fall 2025 Release).

→ And we will win the shift to modern messaging platforms, starting with RCS—not as a checkbox channel, but as a richer surface for lifecycle experiences (see: Why RCS Matters Now).

The send button will always exist. But in 2026, we’re building for what comes after it: onboard with speed, engage with judgment, retain with proof.

When you sit down with the SVP of Product at Major League Baseball, you expect to learn a lot. But what surprised us was which idea stuck, and how far beyond the ballpark it applied.

We’re used to talking about our attention spans as if it’s something to capture, win, or steal. And we get it, competition sometimes demands a more aggressive approach. But competition also raises the cost of getting it wrong.

Users don’t just give attention and take it away. They arrive with varying shades of attention, shaped by their context, their mood, or what they ate for lunch.

Sometimes they’re deeply focused. Sometimes they’re half-aware. Often, they’re just glancing. It’s a bit of an elusive state, isn’t it?

And most engagement strategies weren’t built for it.

The inverted pyramid of attention

For the MLB, Live Activities were the key mechanism for spanning attention levels. They built experiences that worked whether someone was glued to the game… or sneaking a glance at their phone between meetings. The way that they visualized their fans’ layers of attention was through an inverted pyramid. You can see it in all its glory here.

But this idea can be translated to any brand who is trying to earn trust in a world of constant distraction.

Most apps design customer engagement from the top down. They start with moments of full focus (launches, promotions, conversions) and work backward. These are moments that are easy to justify and measure. The logic feels strong, right? But, over time, too many engagement strategies end up being defined by what’s easiest to prove worked, not by how attention actually fluctuates in real life.

A more accurate model is actually the opposite.

Do all your juiciest conversion opportunities appear at the bottom? Most likely. But most user moments live at the top. That gap between how brands ask for attention and how users actually have it, is where longer-term retention tends to break down.

When every message assumes full focus, users learn to tune everything out.

*This is not a funnel!

Users drift between these states constantly. Your job is not to push them downward. It’s to recognize where they are and respond appropriately.

This is where retention strategies either shine or collapse. Multiple channels aren’t about volume, but rather about flexibility across these layers. The ability to whisper, speak normally, or ask for focus when it’s earned.

The cost of asking for too much

Modern teams are under real pressure to prove impact. Clicks, opens, and conversions are easy to measure, easy to defend, and easy to optimize for. But not every valuable interaction is meant to drive an immediate action.

MLB understands this intuitively. A live score update doesn’t demand a tap. A pitching change doesn’t require a response. These moments keep fans connected without asking them to do anything. The relationship deepens even when no one clicks. Don't miss this distinction.

A push notification doesn’t need a click to be successful. An in-app message doesn’t always need to convert.

Sometimes the win is simply presence, not so much the performance of a particular alert.

If every one of your messages are asking for something, your users will learn to ignore everything.

How to design engagement by attention level

Glance moments: Designing for peripheral awareness

User mindset: “I noticed you — but I’m not stopping.”

These are the most frequent moments and the easiest to underestimate.

Best channels

• Lock screen pushes
  
• Live Activities
  
• Badges
  
• Lightweight alerts
  

Design principles

• Zero friction
  
• No required action
  
• Familiar, predictable patterns
  

Example use cases

• Score updates
  
• Order status changes
  
• Market movements
  
• Ongoing background narratives
  

This attention layer determines whether your brand feels familiar or forgettable over time. When designed well, glance-level engagement keeps your product mentally “warm” without asking users to do anything in return.

You can’t expect to hop in a car that hasn’t been started for a week and start driving right away. And unfortunately, they don’t make jumper cables for churned users. We checked.

🤔 Can an update just… update you?

Design non-urgent narrative threads that unfold passively over time. Instead of treating each lock screen update as a standalone message, think of it as a chapter in an ongoing story: progress, movement, or change. This could be an order inching forward, a balance fluctuating, a streak building, or a system quietly working on the user’s behalf. When users can predict what they’ll see at a glance, they stop evaluating whether to engage and simply absorb the update.

Receptive moments: Staying relevant without interrupting

User mindset: “I’m aware, but busy.”

This is where a lot of everyday engagement lives, and where restraint matters most.

Best channels

• Standard push notifications
  
• Message inboxes
  
• Subtle in-app banners
  
• Live Activities and real-time surfaces
  

Design principles

• Context over persuasion
  
• Brevity over cleverness
  
• Information density without pressure
  

Example use cases

• Status updates
  
• Progress tracking
  
• Time-sensitive awareness
  
• “You might want to know this”
  

Ready for the tight-rope walk? Receptive moments are where brands either earn credibility or burn it. This is the layer users spend the most time in—and the one most vulnerable to overreach. Treating these moments with restraint signals that you respect your users’ time and context, which directly impacts opt-in longevity and message tolerance.

🤔 Reassurance goes a long, long way

Replace “calls to action” with calls to orientation. Instead of pushing users to click, frame messages around helping them understand where they are right now. A simple shift—from “Check this out” to “Here’s where things stand”—changes the psychological contract. Use these moments to answer quiet questions users may not even realize they’re asking: Is everything on track? Did anything change? Do I need to care right now?

When messages reliably answer those questions without pressure, users become more willing to engage when something truly does require attention.

Active moments: When full attention is earned

User mindset: “I’m here for this.”

These moments are rare and valuable. They’re when a user has intentionally leaned in.

Best channels

• In-app messages
  
• Full-screen modals
  
• Deep-link push notifications
  
• Email (when intent already exists)
  

Design principles

• Clear value exchange
  
• A strong narrative or payoff
  
• Fewer messages, higher stakes
  

Example use cases

• Account or policy changes
  
• Feature launches
  
• Live events
  
• High-intent lifecycle moments

Active attention is scarce, and increasingly protected by users. These moments carry the highest potential impact, but only if they’re treated as earned, not assumed. Overusing high-friction messaging trains users to resist it; using it sparingly makes it meaningful.

🤔 A fair trade for attention

Treat active moments like a clear value exchange. Before deploying an in-app modal or deep-linked message, ask: What does the user get immediately in return for their focus? Then make that payoff explicit and singular. One message, one idea, and one outcome. Resist bundling updates or stacking asks. When users learn that full-attention moments are focused and worthwhile, they stop bracing against them—and start engaging with intent.

Winning the long game with your users starts here.

We know engagement is not something to force or manufacture.

The job of modern messaging isn’t to pull users back at every opportunity. It’s to engage without demanding more focus than the moment can afford: with updates that make sense at a glance, context that helps them stay oriented, and moments of deeper engagement only when focus is genuinely earned.

It’s no coincidence that patience, restraint, and intention are key ingredients for how durable relationships are built outside our smartphones. You’d be surprised how much the same tenets apply through the screen.

If you’re rethinking how you engage the users you already have, OneSignal is built to help you design those moments with a little more intention (and a lot more long-term consistency.)