AWS is ending support for Amazon Pinpoint on October 30, 2026. This includes the entire console and everything in it: endpoints, segments, campaigns, journeys, and analytics. Pinpoint stopped accepting new customers back in May 2025, so if you're still on it, you've been on borrowed time for a while without necessarily knowing the clock had a date on it.

The kicker is that AWS's own migration guide doesn't point you to a single replacement. It points you to four, depending on what you used Pinpoint for.

Where AWS actually sends you

Straight from AWS's migration documentation, a Pinpoint customer gets split four ways:

• Engagement (segments, campaigns, journeys) moves to Amazon Connect's outbound campaigns and Customer Profiles.
• Events and mobile analytics move to Amazon Kinesis.
• Email moves to Amazon SES.
• SMS, push, voice, and OTP move to AWS End User Messaging, which is actually just Pinpoint's old channel APIs under a name AWS already switched to back in 2024.

It's still one vendor, but now it's four separate products, four consoles, and four sets of documentation standing in for the one system you had. For teams without a dedicated platform engineering group, that's a heavier lift than "migrate to a new tool" usually implies.

What mobile-focused teams need to read twice

Amazon Connect, the recommended destination for Pinpoint's engagement features, doesn't natively support in-app messaging at all. Push notifications aren't a built-in campaign channel either, AWS's own guide says you'll need to route them through a journey using a Lambda function and custom push templates just to replicate what Pinpoint did out of the box.

If your team runs a mobile app, that's potentially a costly roadblock especially if your developer resources are tight. In-app messaging and native push are probably two of the main reasons you were on Pinpoint in the first place, and the recommended migration path doesn't carry them over cleanly.

Skip the four-way split entirely

OneSignal covers that entire list as one platform: Journeys for the visual campaign and automation builder, native segmentation, mobile push, web push, in-app, email, and SMS/RCS with a unified data model all in one console instead of four. It also means adding a new channel or segment down the line is one build, not four, so audience engagement doesn't get harder to maintain every time your program grows.

OneSignal AI and MCP Server also help with the actual migration work: describe the segments and journey logic you're rebuilding in plain language and get a working draft to react to, instead of manually recreating everything from Pinpoint's exported JSON by hand.

A practical migration checklist from Amazon Pinpoint

• Export your Pinpoint endpoints, segments, campaigns, and journey definitions using AWS's own APIs before anything gets harder to retrieve.
• Map your Pinpoint custom events and endpoint attributes to OneSignal's segmentation and data tag model.
• Rebuild your Journeys, this is where AI-assisted drafting saves real time, since you're recreating known logic, not designing from scratch.
• Re-point your mobile SDKs and confirm event ingestion is flowing before you cut over.
• Run a pilot send to a small segment and confirm parity before moving full volume.
• Account for real calendar time on sending domain authentication and SMS/RCS sender registration, none of that speeds up just because Pinpoint's deadline is close.

Get a migration plan built around your actual deadline

With a hard October 30 deadline and real production volume riding on it, it's worth talking to our team directly about a migration plan sized to your actual MAU and timeline, rather than provisioning something on your own and finding the gaps three weeks before Pinpoint shuts off.

That conversation can also work through the specifics from the checklist above, event mapping, journey rebuilding, SDK cutover, so the plan matches your actual Pinpoint setup instead of a generic migration.

If HubSpot is your team's source of truth, you know the frustration: a customer writes in, your support rep pulls up their contact record, and half the story is missing. The missing context is real: the push notification that went out this morning, the SMS they clicked last week, the in-app message that nudged them to upgrade.

Now you can have that full context. With our updated HubSpot integration, OneSignal activity shows up directly on the HubSpot contact timeline: push, email, SMS, and in-app messages, side by side with your HubSpot marketing emails.

See the full conversation, not a slice of it

Every send, delivery, open, click, and failure from OneSignal can now write to the contact timeline in HubSpot. Open any contact and you'll see exactly what they've received and how they engaged, across every channel you message them on. No need to pull up multiple tools and switch back and forth.

This matters for more than convenience. When your sales team preps for a call, they see the outreach that already happened. When support triages a ticket, they can tell instantly whether the customer got that password-reset email or missed the outage notification. Everyone works from the same picture.

Put messaging events to work in HubSpot

Timeline visibility is just the start. Those OneSignal events are available in HubSpot lists, reports, and workflows, giving you the ability to act on them like any other HubSpot data. Build a list of contacts who clicked a push in the last 30 days. Trigger a follow-up workflow when a key email fails to deliver. Report on cross-channel engagement without leaving your CRM.

You're in control of the volume, too: choose exactly which events OneSignal sends to HubSpot, so your timelines stay useful instead of noisy.

Easier to get started

New to OneSignal? You can now install OneSignal directly from the HubSpot marketplace, connecting the two platforms without ever leaving HubSpot.

Already using the integration? One quick step

Because this feature needs new permissions to write events to your timeline, existing customers will need to re-authenticate their HubSpot integration once. It takes about a minute in your OneSignal integration settings, and then events start flowing.

Try it today

The updated integration is live now. Reconnect HubSpot (or install OneSignal from the HubSpot marketplace), and give your whole team the complete customer story.

The OneSignal Free plan is evolving. OneSignal has always allowed users to sign up and use the product for free. As we continue to innovate, we want to make sure these enhancements can be used by everyone.

We’re bringing more of OneSignal’s product capabilities to our free plan, including OneSignal AI, increased Journey’s and message steps, and more data tags. At the same time, we are also improving the Growth plan: customers will receive additional Journeys at no additional cost.

To sustainably offer these additional features we’re introducing a 1,000 monthly active user (MAU) limit for mobile push and in-app messaging on the Free plan. These changes take effect for new customers on September 1, 2026, and for existing customers on October 1, 2026.

What's getting better

We're removing several paid-plan gates and bringing deeper lifecycle messaging into the Free plan. That includes newly announced AI capabilities, access to 3 Journeys with unlimited step counts, and 6 Data Tabs. Growth plan customers now have access to 5 Journeys and unlimited step counts at no additional cost. All paid plans now have access to unlimited journey message steps.

With additional Journeys and Data Tags, teams of every size are enabled to create more personalized experiences for their customers.

A limit on Free plan MAU

Alongside these additions, we're introducing a 1,000 monthly active user (MAU) limit per organization for mobile push and in-app messaging on the Free plan.

For accounts above the limit, mobile push and in-app messages will pause until you upgrade. Other channels, including web push and email will keep working under the existing plan limits.

For organizations above the new limit, continuing to send mobile push and in-app messages will require an upgrade to a paid plan. We recognize that this is a meaningful change. Our goal is to make more of OneSignal’s capabilities available to teams at every stage, while aligning plans with the scale of platform use. As a result, the majority of Free plan customers will receive greater functionality at no additional cost.

For organizations with more than 1,000 MAU, a paid plan comes fully equipped with the delivery infrastructure, marketing features, and support that a growing business needs.

Key dates

• September 1st: New organizations signing up for the Free plan are subject to the 1,000 MAU limit
• October 1st: Existing customers on the Free plan must be under 1,000 MAU to continue sending mobile push and in-app messages.

If you're near or over the limit

You'll get notified as your organization crosses 75%, 90%, and 100% of the limit, and you can check your current MAU anytime from the Organizations page in your dashboard. If you go over, you'll have 24 hours to upgrade before sending pauses.

Upgrading is instant, with no downtime, and pricing scales with your usage. You can check exact numbers with our pricing calculator, and accounts above 50,000 MAU can talk to our team about annual and volume pricing.

Full details, including how MAU is calculated and answers to common questions, are in our FAQ.

Have questions? Reach out at support+pricing@onesignal.com or through your dashboard's support chat, and we're happy to help.

The holiday lift doesn't announce itself on Black Friday. According to OneSignal's own 2025 retail data, early holiday engagement climbs by nearly two-thirds before Black Friday and Cyber Monday even arrive, and that climb starts in August.

These are the two months most teams hand over for free. Below is the setup work that can't be rushed no matter when you start, two low-stakes tests worth running right now, and how much of the actual build you can hand off before any of it matters.

Why everyone waits anyway

A few things about holiday-scale sending take real calendar time, no matter how fast your team moves:

• SMS sender registration (10DLC or toll-free verification) can take carriers one to four weeks to approve.
• RCS sender verification runs through a similar carrier review queue, not something you can push through same-day.
• A sending domain needs weeks of real volume behind it to build the reputation that keeps holiday-sized sends out of spam folders.
• A/B tests on send time and creative need a few real cycles to mean anything. Testing during the actual rush just burns your best week on an experiment instead of a proven play.

While everyone else is still warming up a domain nobody's sent real volume through yet, you're already tightening the segments that'll matter most in six weeks.

By the time real holiday traffic shows up, competitors are just getting their infrastructure live. You've already had weeks to find out what will actually convert, instead of guessing under pressure.

What "build it now" actually means

Split your work into two separate moments that don't have to happen at the same time:

• Design it now, while nothing's on fire and you can actually think.
• Activate it later, the moment your own data says the season has started, not the moment your calendar says it should have.

Design work you can do today, in a single sitting, without a single Q4 metric in hand:

• Draft the segments: last year's holiday purchasers, high-intent browsers who didn't convert, your highest-value at-risk customers, and anyone who opted in but has gone quiet since. Sketch the Journey skeleton: an early-access or preview touch, a mid-window reminder, a last-chance push timed to actual urgency instead of a guess, and a post-holiday win-back for the people who bought once and disappeared.
• Write rough copy for each step now, in whatever voice you'll actually use, so November-you isn't drafting push copy at 6pm the night before a send.
• Set the whole thing to sit in draft, paused, fully built, waiting on a trigger instead of a launch date.

A couple extra notes on testing…

One test worth running now: send a small, ordinary message to last year's holiday-purchaser segment and see who's actually still there. Lists decay quietly over a year. Finding out in November that a third of your highest-value segment bounces or never opens is more of an “oh well” blindspot than data point you can act on. And our data shows that the most disastrous churn rates out there are caused largely in part by the “oh well” mentality. Don’t fall into the trap!

There's another one sitting in the same historical data, just a different question: pull your unsubscribe and opt-out rates against your actual send frequency during that stretch. That tells you where your real audience's tolerance sat under real holiday conditions, no manufactured test required, no risk to anyone.

Draft it in an afternoon, not a quarter

Not only can we prepare earlier, but we can now accomplish many of these tasks much quicker.

Building four to six segments and a multi-step Journey from a blank canvas, can genuinely turn into a multi-day project (which is exactly why it keeps getting pushed to "when there's more time.")

OneSignal AI can build that same structure from a plain-language brief in a fraction of that time (describe the audience and the flow you want, and get a working draft of the segments and journey steps to react to and refine), and the OneSignal MCP Server lets you keep adjusting it conversationally as you tighten the plan, without rebuilding it from scratch every time something changes. You still make every real decision about what this journey does. What disappears is the excuse that building it takes too long, because that part's no longer on you!

Holiday prep is a great excuse to stop building this manually for good

Ask OneSignal AI to build the segment instead of clicking through filters: "Everyone who purchased between November 15 and December 25 last year." Get the segment logic in seconds, ready for you to check and adjust, instead of assembling it field by field.

Ask it to draft the whole journey skeleton at once: "A four-step holiday Journey: an early-access push, a reminder three days before the sale ends, a last-chance push the day it ends, and a win-back email two weeks later for anyone who bought once and didn't come back." You get a working draft to react to, not that blank canvas we mentioned earlier.

Ask it the question you'd otherwise dig a report out for: "What was our unsubscribe rate by send frequency last November?" instead of exporting data and building a pivot table to find out.

If you're already working in Claude or ChatGPT, the OneSignal MCP Server lets you make the actual change from there. Tell it to move the last-chance push to six hours before the sale ends, and it proposes the change and waits on your confirmation before it touches a single real user.

The decisions still sit with you, what the segments should be, what the Journey should say. What changes is how long it takes to turn those decisions into a working build: minutes instead of an afternoon, and definitely instead of a week you don't have in November.

The easiest deadline you'll ever actually beat

None of this needs a Q4 budget meeting or anyone's permission, just an afternoon, a rough plan, and a decision to stop treating September like it doesn't count. Draft the segments, sketch the Journey, let OneSignal AI do the typing, and leave the whole thing sitting there, built and ready, so the only thing left to do when the season actually starts is watch it run. Try OneSignal free and see how much of this you can already have done before anyone else has opened the project.

Mobile-first products need more than an email-first stack.

Somewhere around the time a product needs to coordinate a push notification, an in-app message, a payment update, a delivery alert, and a re-engagement email, without any of them stepping on each other, most teams discover their email platform was never built for this job. It was built to send really good email. The gap shows up first as duplicate messages (a push and an email fighting for the same moment), then as blind spots (a mobile event with no channel built to react to it in real time), then as a growing list of workarounds nobody wants to own.

The decision in front of you isn't really "what's the best email service" or "which are the best email providers." Those questions assume email is the center of the system, and for a mobile-first product, it usually isn't. The real question is which category you're actually shopping in: an email-first marketing tool built around campaigns and lists, a transactional email service provider built around reliable, code-triggered delivery, or a mobile-first customer engagement platform built around a user's behavior across every surface they touch, push, in-app, web, email, and SMS/RCS together.

Email-first lifecycle marketing platforms are built around list-based campaigns, flows, and email-centric segmentation, with mobile channels often added on afterward. Mobile-first engagement platforms are built around a user's real-time behavior across surfaces, with segmentation, journeys, and orchestration designed to treat push, in-app, and web as first-class channels rather than an add-on. Neither is better in the abstract. They're built for different jobs.

This guide evaluates native mobile push, in-app messaging, web push, email, SMS/RCS, transactional alerts, segmentation, orchestration, analytics, SDK/API access, delivery reliability, and pricing model, specifically through the lens of a mobile app retention strategy, mobile push notifications, and the operational reality of running a mobile-first product.

What to evaluate in a Klaviyo alternative for mobile apps

Our Best Klaviyo Alternatives for eCommerce Brands With a Mobile App guide built a six-criterion scorecard for exactly this kind of decision: delivery reliability, scalability, rich-content support, platform coverage, customization, and cost. It's worth borrowing wholesale here, because a mobile-first evaluation needs the same rigor, just pointed at mobile-specific capabilities.

One rule before the breakdown: label every capability as native, integration-enabled, or requiring confirmation. Sales pages blur this line constantly. A platform "supporting" SMS through a third-party add-on is a very different commitment than one that built SMS/RCS natively, and you want to know which one you're actually buying before a contract, not after.

Channel coverage and mobile experience

Start by validating native support for iOS push, Android push, web push, in-app messaging, email, SMS/RCS, and real-time lock-screen experiences where relevant. OneSignal, for reference, supports push notifications for mobile and web platforms with advanced targeting and automation.

Then go further than "does it send?" Test the actual mobile experience: opt-in prompts, permission flows, rich content, deep links, and message delivery at the real moments a user needs them, not just in a sandbox. OneSignal's deep linking, for example, can direct users to specific app screens or web pages with custom deep links and URLs, which matters more than it sounds like it should.

A push that opens to the app's home screen instead of the exact screen it referenced is a small failure that quietly tanks click-through on every campaign that depends on it.

Data, automation, and measurement

Under data and automation, look at event ingestion, identity resolution, segmentation, dynamic personalization, visual journeys, experimentation, conversion reporting, and cross-channel frequency control. OneSignal Journeys, as one example, enables no-code messaging journeys across channels for onboarding, retention, and re-engagement.

Measurement deserves its own scrutiny. Send metrics (delivered, opened, clicked) tell you the message went out. User-impact metrics tell you whether it did anything. OneSignal's Custom Outcomes tracks custom conversion events and measures messaging campaign impact directly, which is the difference between reporting on activity and reporting on results.

Developer control, delivery, and cost

For developer control, validate SDK availability, API-triggered sends, event latency, template workflows, and documentation quality. OneSignal provides an app-integrated SDK for messaging capabilities and a full API reference for automating messages, managing users, and tracking delivery.

Klaviyo alternatives at a glance

Before going deeper, it helps to see the field at a glance, because no platform here is a universal winner. G2's independent Klaviyo alternatives page lists ActiveCampaign, Braze, Dotdigital, Agentforce Marketing (formerly Salesforce Marketing Cloud), Iterable, and HubSpot Marketing Hub among the most-compared options, alongside others better suited to email-first or CRM-centered use cases. The table below narrows that field by what actually matters for a mobile-first product.

Best Klaviyo alternative for mobile apps

If your retention motion centers on an app rather than an eCommerce email calendar, this is the section to weigh most heavily. The evaluation priorities shift: iOS and Android support, web push, in-app messaging, deep-link behavior, event-triggered sends, segmentation, delivery confirmation, and cross-channel orchestration, in that rough order of importance.

When push, in-app messaging, and web push are core requirements

Think through the specific moments a mobile-first product actually needs to reach someone: an onboarding completion prompt right as a user finishes setup, a personalized re-engagement message timed to their own inactivity pattern rather than a blanket schedule, a back-in-stock or cart prompt that lands while intent is still fresh, a payment confirmation follow-up, a delivery or status alert that deep-links straight to the relevant screen instead of dumping someone on a home screen.

A platform built for this needs in-app messages that engage users while they're actively in the app, not just a push channel bolted onto an email tool. It also needs confirmed receipt, meaning actual verification that a notification was delivered to and displayed on a device, rather than a "sent" count that quietly includes messages that never arrived.

When mobile Journeys need real-time product events

Some of the highest-value mobile messages are triggered by something that just happened in the product: a subscription renewing, a shipment updating, a live event starting. For products with this kind of real-time surface, it's worth confirming whether a platform can deliver real-time updates to iOS Live Activities through its SDK and API, since that's a meaningfully different capability than a standard push notification and not every platform on this list supports it.

Best for transactional email and service notifications

Transactional email service providers vs. lifecycle platforms

It's worth being precise about a distinction that gets blurred constantly: transactional messages are triggered by a recipient's own action and are necessary for delivering the service itself (a purchase confirmation, a password reset), while marketing messages are promotional or lifecycle-oriented by design.

A specialized transactional provider earns its keep when the primary requirement is API delivery, SMTP, templates, webhooks, and high-volume service email, full stop. An engagement platform earns its keep when those same transactional messages need to be coordinated with push, in-app, email, SMS/RCS, and journeys, so a payment confirmation and a related retention journey aren't running through two disconnected systems that don't know about each other.

OneSignal can send transactional emails, purchase confirmations, password resets, welcome messages, with delivery, click, and open tracking, and can automate transactional and marketing messages together inside the same Journeys. One detail worth knowing before you build: transactional emails aren't subject to the same unsubscribe requirements as marketing emails, but that exemption only holds if they're not used for marketing content. Blend the two carelessly and you risk both compliance exposure and a service email that reads like a sales pitch.

What to test before consolidating transactional and marketing email

Before merging the two into one system, confirm sending-domain setup, deliverability reputation separation between transactional and marketing streams, template migration effort, and whether your compliance team is comfortable with transactional exemptions being handled correctly in practice, not just in theory.

Best for cross-channel Journeys and app retention

Coordinated, automated Journeys should support onboarding, activation, retention, re-engagement, and recovery flows without forcing a separate, disconnected workflow for every channel. That requires an audience model built around the fact that one person may have several messaging endpoints. In OneSignal's model, a User is an individual with one or more channel subscriptions, while a Subscription is the specific channel or device through which that user actually receives a message, which is what lets a single journey reach the same person correctly whether they're most reachable by push, email, or SMS that week. OneSignal supports both transactional and marketing email messaging alongside push, SMS/RCS, and in-app messaging as engagement channels.

Below are example journey maps, not finished copy, meant as a starting structure rather than a template to paste in.

Measure retention outcomes across channels

Custom Outcomes can define the conversion event for each journey above, which is what turns "we sent a re-engagement campaign" into "the re-engagement campaign brought back this many sessions." Our Your First Three Mobile Journeys resource is a useful prioritization reference if your team is small and needs to sequence which journey to build first rather than trying to launch all four at once.

Best for SMS marketing and developer/API control

SMS deserves to be treated as a channel decision, not a cheap add-on you bolt onto an existing plan. Evaluate audience consent and compliance workflows, sender setup, regional availability, carrier or channel fees, throughput, personalization, reporting, and how SMS actually coordinates with push and email rather than duplicating them.

Compare SMS pricing separately from email pricing, since it typically carries its own channel-specific credits, fees, and geography-driven cost drivers. Get a modeled estimate using your own regions, sends, and consented audience before assuming a "starting at" number reflects your real cost. And confirm compliance and pricing specifics directly with each vendor. This is one area where you want a signed answer, not an inferred one.

Choose the right level of engineering control

For developer and API control, test SDK implementation, API authentication and rate limits, event-trigger latency, idempotency, template management, webhooks, observability, and sandbox or staging workflows. OneSignal's API supports automating messaging, managing users, and tracking delivery, and supports custom deep links and URLs that route a user to a specific app screen or web page. Use G2's alternatives page as a starting point for identifying which vendors to evaluate, not as a substitute for testing technical capability directly; a category listing tells you who to look at, not what their API can actually do under load.

A short checklist for technical stakeholders: required platforms, SDK maturity, API-triggered notifications, identity model, event ingestion, deep links, analytics export, and migration risk.

How to run a fair trial and migration decision

Create a weighted scorecard

Define the primary channel, required app surfaces, audience-data model, transactional latency needs, engineering capacity, automation complexity, pricing driver, and migration risk, then score every candidate against the same weighted criteria. Don't compare one vendor's documented strengths against another vendor's untested assumptions; that's how a comparison quietly turns into a foregone conclusion.

Pilot a high-value Journey before migrating

Pick one high-value use case, onboarding, payment confirmation, delivery or status updates, or re-engagement, and build it as a real pilot rather than a demo. Test opt-in behavior, trigger latency, delivery, deep links, conversion measurement, reporting, and the actual operator workflow your team will live with day to day.

Before migrating anything, work through this checklist: export or map audiences and consent states, identify event schemas and identity rules, rebuild templates and journeys, authenticate sending domains, test rollback paths, and agree on product, data, engineering, and marketing ownership up front. On that last point, OneSignal's email setup requires a sender email address on a domain the team owns, with access to that domain's DNS settings; free mailbox providers like Gmail or Outlook aren't supported as sending domains. Setup itself means selecting a provider, creating a sender, configuring DNS authentication, and verifying the account, which is a fair stand-in for what most platforms in this category will ask of you regardless of which one you choose. Our Email setup documentation walks through the sending-domain and DNS-authentication steps in more detail.

A methodology note worth stating plainly: this evaluation is built on publicly documented capabilities and independent comparison sources, unverified claims are flagged for confirmation rather than stated as fact, and pricing, availability, compliance, and product details should be refreshed immediately before publication, since all of it changes.

Frequently asked wuestions

What is Klaviyo best for?
Klaviyo is best for eCommerce brands running email- and SMS-led marketing campaigns, particularly those built on Shopify or similar platforms, where segmentation and campaign design center on purchase and browsing data. Its native mobile app engagement capabilities (push, in-app, deep links) should be confirmed directly if that's a requirement, since they aren't the platform's core design focus.

When should a mobile-first product choose an alternative to Klaviyo?
When the product needs native push, in-app messaging, deep-linked experiences, and real-time event-triggered sends coordinated with email and SMS in one system, rather than mobile channels layered onto an email-first tool. The tell is usually a growing list of workarounds needed to make mobile behavior talk to an email-centric platform.

Can a transactional email provider replace Klaviyo?
Only if the team's actual scope is limited to transactional service email. A specialized provider handles purchase confirmations and password resets well, but it generally doesn't replace broader lifecycle orchestration across push, in-app, and SMS, since coordinating those channels isn't what it's built to do.

How do email and SMS pricing models differ?
Email pricing is typically driven by contacts or send volume, while SMS pricing usually adds channel-specific credits or per-message fees that vary by region and carrier. The two should be modeled separately using your own regions and volume rather than compared by entry price alone, since SMS costs can shift significantly once you factor in geography and throughput.

Which capabilities are needed for app retention?
At minimum: reliable push delivery, in-app messaging, deep links that land on the right screen, event-triggered sends tied to real product behavior, segmentation that updates in real time, cross-channel journeys, and conversion measurement that goes beyond open and click rates. Missing any one of these tends to show up later as a workaround nobody wants to own.

Choose the platform that matches your mobile engagement job

The decision here isn't really Klaviyo versus a list of alternatives. It's a choice between three categories: email-first lifecycle marketing, specialized transactional email delivery, and mobile-first cross-channel engagement, and the right one depends entirely on the channels and journeys your product actually needs to support, not on which platform has the longest feature list.

Work through the scorecard, validate delivery, implementation, analytics, and total operating cost against your own numbers, and run a pilot on one high-value journey before you commit to anything. Once that pilot gives you real evidence instead of a sales deck's version of it, you'll know which platform actually fits the job in front of you, and you can move on it.

The best messaging programs answer a hard question: did people come back? Over the past month we shipped releases that help you answer it directly, automate more of your workflow through code and AI, and protect the sender reputation you've worked hard to build.

Here's what's new in OneSignal in August:

Retention Metrics is live

Retention Metrics is live for every app. Open the new Retention tab under Dashboard → Retention, pick any cohort start date, and see how many of those users stayed active over the following 7, 14, or 30 days. You can compare cohorts by channel or platform and export the full curve to CSV.

There's nothing to instrument: retention runs on session data the OneSignal SDK already collects, so it works from day one with no event setup and no data team. Pair it with Conversion and Engagement Metrics and you can tell the whole story — from send, to click, to conversion, to users who keep coming back. Your plan sets how far back a cohort can start, from 7 days on Free up to 90 days on Enterprise.

Read the Retention Metrics docs and learn how to interpret retention curves.

Manage Journeys via API

The Journeys Public API is now in Beta. You can create, read, update, delete, and manage the state of Journeys programmatically (every node type available on the canvas, plus journey stats) without a single dashboard click. An opt-in concurrency guard keeps two editors, say the dashboard and your CI pipeline, from silently overwriting each other's changes. If you've wanted to template journeys, sync them across environments, or wire them into your own tooling, this is your foundation. It's available on all plans within your existing journey limits.

Explore the API reference.

A new homescreen (and file uploads for OS AI)

Say hello to Home, the new default landing page rolling out to all customers. Instead of opening onto analytics, you land in a full-page AI chat where you can ask anything about your app, including how notifications are doing, how to set up a channel, or what to send next. Prefer the classic view? You can switch your landing page back to the Dashboard anytime in account preferences.

Plus, OneSignal AI now accepts attachments (images, PDFs, CSVs, and Excel) via the + button or drag and drop. The AI reads the file, keeps it in context for the rest of the conversation, and acts on it: attach a CSV to kick off a user import, drop an image onto an open push or in-app draft, or upload your marketing calendar spreadsheet and create sends in bulk. It's live for all customers with OneSignal AI enabled.

See OneSignal activity inside HubSpot

OneSignal events now write to the HubSpot contact timeline. Open a contact and see the push, email, SMS, and in-app messages they received — sends, deliveries, opens, clicks, and failures — right alongside HubSpot email. Those events also power HubSpot lists, reports, and workflows, so you can segment and automate on the full engagement picture. You choose exactly which events to send, and new customers can install OneSignal directly from the HubSpot marketplace. Existing integrations just need a one-time re-authentication to grant the new permissions.

See the HubSpot integration guide.

Email Volume Spike Protection

Inbox providers treat a sudden surge in email volume the way they treat an unknown sender: with deferrals and spam placement that can linger for weeks. Email Volume Spike Protection now checks every dashboard send against your domain's peak daily volume from the past 30 days. Cross 1.4× your recent peak on a 3k+ send and OneSignal recommends Auto Warm-Up; cross 4× at 100k+ and you'll get a strong warning with deliverability guidance before anything goes out. It's live for everyone who sends email through OneSignal.

Learn how Auto Warm-Up works.

Connect OneSignal to Claude in one click

OneSignal is now listed in Claude's official connector directory. Connect your account with one-click OAuth, no API keys to copy, and run your messaging from a Claude conversation: send pushes, build segments, and query your data wherever you're already working.

Try it today

Everything above is live now. Open your OneSignal dashboard to check your first retention curve, connect HubSpot or Claude, and let OneSignal AI take a file off your hands. We'd love to hear what you build.

Every mobile app marketing team eventually hits the same wall on day one: you're supposed to personalize app onboarding, but there's nothing to personalize with yet. No purchase history. No behavioral pattern. No idea if this user even likes your product, because they downloaded it eleven minutes ago. So you do the thing everyone does: write one generic welcome message, send it to everyone, and promise yourself you'll "add personalization later, once you have the data."

But "later" is expensive. Apps that wait to personalize until they've built up enough history are leaving retention on the table during the exact window when new users are most likely to churn. And the good news is that you don't need much data to do meaningfully better than a generic blast. You just need to stop treating "no personalization data" and "no signal at all" as the same thing, because they're not.

Before a user has done anything inside your app, you already have a handful of usable facts:

• Where they came from (an ad, a referral link, an App Store search, a specific promo code)
• What platform they're on (iOS and Android often behave differently)
• Whether they granted push permission, and when
• What screen or action, if any, they touched in their first session
• The time of day and day of week they signed up

You can capture these signals when a user opens the app, without waiting for a data warehouse. Use them to create two or three onboarding paths: for example, send users who viewed a key screen a deep link back to that screen, while users who did not reach it receive a message that explains the next step. Measure each path by completion of the first key action and return sessions.

The best retention tactics post-install don't wait for a data model

Send onboarding messages early through more than one channel. Apps that use more than one onboarding channel see higher 1-day, 7-day, and 30-day retention than apps that use one channel. Per OneSignal's State of Customer Engagement Report, apps that send onboarding messages report a 56.25% higher DAU/MAU ratio and 24% higher install-to-purchase conversion. These tactics can start without a detailed behavioral profile.

A great example is a UK sports betting app that used each user's promo code or signup offer to create referral-specific onboarding sequences. Founder Ryan Lawrence says automated Journeys tailors each experience to the user's acquisition source. That day-one signal helped drive a 30% increase in new-user deposits.

Where AI actually earns its place in this

Autonomous lifecycle marketing can start on day one. Use the signals available at install, including acquisition source, platform, permission status, first action, and signup timing, to define segments and branch a welcome journey. AI can help turn those inputs into journey logic without requiring years of behavioral history or separate versions for every audience.

For post-install retention, build initial segments from day-one signals and use plain-language AI assistance to draft the Journey logic. A small team can then branch push, in-app, or email messages based on each user's actions, deep-link users to the next relevant screen, and measure return engagement as behavioral data grows.

A few proven moves, in order of effort

Start onboarding on two channels. At signup, record the user's platform, notification permission status, and acquisition source as Data Tags. Use those tags to start a two-step Journey: send a push at signup confirmation, then send an in-app message or email 24 hours later if the user has not reopened the app. For a fitness app, the follow-up can point to the first workout, goal, or feature the user needs to try next.

Branch by source, not behavior. Referral users, paid-ad users, and organic sign-ups all deserve a different first message. That data already exists. Step one: tag users by referral source or promo code at signup using a Data Tag, then build two or three segments instead of trying to build behavior-based ones you don't have data for yet. A fintech app with a referral program could reference the specific friend and bonus tied to a referral code, while organic sign-ups get a more general "here's what to explore first" message. Same platform, different first impression, based entirely on where they came from.

Catch early drop-off with something visual. Ogun added a carousel-style in-app onboarding flow and saw an 80% jump in click-through rate, just from making the "what does this app even do" moment clearer. Step one: find the single screen where most users stall, usually a permissions prompt or account setup, and replace the wall of text with a short 3 to 5 screen carousel that shows rather than explains. If half your users bail right after the notification permission prompt, a quick carousel showing what they'd actually get by enabling it, shown before you ask, can recover a real chunk of that drop-off.

Nudge toward the first real action, automatically. Define what the first meaningful action is for your app (completed profile, first booking, first message sent) and set an automated reminder if it hasn't happened within 24 to 48 hours. A marketplace app might trigger a nudge referencing the exact listing someone browsed but never messaged about, rather than a generic "come back!" push.

Don't skip the reactivation window, even early. letgo's welcome campaign alone onboarded 1.3 million new users at a 7% CTR. Timing and relevance did the work, not deep personalization. Step one: pick a short inactivity window, 3 to 5 days for a high-frequency app is reasonable even with zero historical data, and set up one automated re-engagement message for anyone who installed and disappeared. You don't need to know exactly when someone's about to churn. You just need to catch them before they forget your app exists.

Retention Starts From Day One

Use first-day signals, such as acquisition source, platform, permission status, first screen viewed, and signup timing, to tailor onboarding across channels. As users engage, update the audience and message path with the data they provide.

If you're building this from scratch, OneSignal's Journeys and segmentation tools are built for exactly this stage. Get started for free and see how far OneSignal gets you from day one.

Mobile app retention strategies can use more than inactivity or broken-streak events. The six triggers below use external or less commonly tracked signals to identify a relevant moment for re-engagement, then send a message tied to the user's likely next action.

1. The window before payday, and why it's not just a fintech idea

Most apps that think about payday at all default to messaging the happy moment, the day money lands, and default to fintech as the only category where it matters. Both defaults are worth questioning.

The more overlooked window is often the few days right before someone's next payday, when balances are lowest and they're most likely to consider an overdraft, a short-term loan, or a buy-now-pay-later offer they'll regret. A genuinely helpful nudge here (a spend-awareness check-in, a bill heads-up, a suggestion to skip a subscription renewal this cycle) builds more trust than anything sent on payday itself, precisely because most apps ignore this moment or use it to sell something instead of help.

And the underlying signal isn't fintech-exclusive. Any app with a purchase or upgrade path, subscription services, games with in-app purchases, retail, can use the same idea to time its own messages around a user's likely cash position: a subscription service holding an upgrade offer until just after someone's paid, or a budgeting app choosing to check in right before they're tight on money. None of this requires deep financial data. A single onboarding question ("how often do you get paid?") or a lightweight inferred pattern is enough to tag a user's own cycle and time the message, help or offer, to when it will actually land.

2. The device or OS a user just upgraded to

Use device and OS-version data to segment users after an upgrade and send a mobile push notification about a feature their current device and app implementation supports. For example, invite eligible users to enable a richer notification format or Live Activities where available. Include a deep link to the relevant setting or feature, and measure whether the message leads to activation or return use. This approach turns an OS upgrade into a timely retention touchpoint while keeping platform support and notification settings specific to each user.

3. A support ticket followed by silence

A recent support contact followed by a drop in app opens can identify users who need follow-up. Send the support-contact event from the support system to OneSignal, then build an audience of users who go quiet afterward. An automated journey can send a careful push notification or in-app message to that at-risk audience, separate from a general win-back campaign.

4. Rewarding a referral when the referred person actually does something, not when they sign up

Set the referral reward to trigger after the referred user completes an activation event, such as finishing onboarding or making a first purchase. Store a tag that links the referrer and referred user, then use the activation event to send the referrer’s acknowledgment or reward. This ties referral incentives to behavior that signals early retention and lets the program measure whether referred users activate.

5. Someone who opted back in after opting out

A user who disables push, then re-enables it weeks or months later, is a meaningfully different person than someone opting in for the first time. They had a reason to leave and a reason to come back, and almost every app sends them the identical "welcome" message it sends brand-new users. Segmenting specifically for re-opt-ins and acknowledging the gap directly ("good to have notifications back on") is a small copy change sitting on subscription-state data most teams already have and never use for this.

6. Contextual relevance from something outside your app entirely

Weather data can trigger relevant mobile push notifications: a coffee app can promote a hot drink when temperatures drop in a user's location, while a fitness app can suggest an indoor routine when rain is forecast. Send weather data from an external API through an integration or webhook, then use it to update audience tags and segments. An automated Journey can deliver the message to that audience and measure whether it drives the intended action. This approach uses a timely external signal to make each message relevant to the recipient's conditions.

Why these are the ones that get missed

These triggers depend on signals beyond in-app activity, such as device status, support events, referral activity, subscription history, or external data. Teams often build lifecycle campaigns around in-app behavior alone, so these opportunities go unnoticed.

Use tags and segmentation to define the audience, connect external systems through integrations, then use an automated journey to send the message and measure the resulting activation, retention, or referral conversion.

None of this requires an enterprise budget, either. Even the best push notification software for small businesses can support every trigger above, since the bottleneck isn't scale, it's noticing the signal exists in the first place. If you're already sending mobile push notifications and want to see which of these six are sitting untouched in your own account, get started for free and take a look.

Every year, the same content calendar shows up everywhere: back-to-school sales, backpack discounts, "get ready for the new school year" push notifications. If you're not a retail app, this is usually the point where marketing teams tune out. "Back-to-school is a retail thing. Nothing here for us."

That assumption is wrong, and it's costing non-retail apps a real seasonal window.

This guidance follows the back-to-school timing in the US, Canada, and much of Europe, where the school year usually begins in August or September. In Australia, New Zealand, South Africa, and Brazil, the school year generally begins in January or February.

What the data actually shows

We pulled OneSignal's own messaging data for apps in the Education category and looked at push notification click-through rates across 2025. From January through May, CTR sat in a fairly steady 0.4% to 0.6% range. Starting in September, it jumped to roughly 0.9% to 1.2%, and stayed there through December. That's engagement roughly doubling, and it holds through the whole fall semester, not just the first week of classes.

The opportunity retail-only thinking misses

Here's the thing about September: it isn't just a shopping event. For EdTech and family apps, it's closer to a mass re-onboarding event. Parents are downloading new apps for a kid who just started a new grade. Existing users are returning after a summer of near-total dormancy. Teachers are setting up classes again. Students are logging back into tools they haven't touched since May.

Treating that moment like "just send a seasonal push" undersells it. What actually matters is onboarding and personalization built for this specific surge, not a themed one-off message.

A few concrete ways to act on that:

Segment by role, then tailor the first September message to each audience. Parents, students, and teachers have different reasons to return, so role-based segments can trigger messages that match their needs instead of relying on recency alone.

Build a returning-user Journey for people who are reactivating. Use a return trigger, such as a user opening the app after a period of inactivity, and send a re-engagement message instead of placing that user in a first-time welcome flow.

Use AI to build it fast, since the window is short. This surge starts and mostly plays out within a few weeks, not months. OneSignal AI can help draft segments and Journey logic in plain language quickly enough to actually catch the window instead of missing it.

Two other verticals nobody talks about here

EdTech and family apps aren't the only categories with a real, non-retail stake in this window.

Budgeting and fintech apps have arguably the earliest window of all. Back-to-school spending is projected to hit $43.3 billion this year, averaging $863.86 per family with school-age kids, and 62% of shoppers had already started buying by early July, according to the National Retail Federation's 2026 survey. Financial planning for the school year begins weeks before retail promotions. A budgeting app can trigger a "back-to-school budget" Journey when a user sets a spending cap, track spending against that cap, and send a reminder as the user approaches it.

Family organization and calendar apps have a quieter (but real) opportunity too. September is when household schedules reset entirely: new class times, new carpools, new activities, all landing at once. That's a natural reactivation moment for anyone who let a family calendar app go dormant over the summer, and a natural onboarding moment for anyone downloading one for the first time because summer chaos finally became fall chaos.

Where this actually goes

For EdTech and family apps, build a Journey around each user's return to your app. Segment users by role or return status, trigger the automated Journey when a user returns rather than on a calendar date, and personalize the message with relevant profile details such as grade, class, or activity.

That's what OneSignal's Journeys and segmentation are built for. Get started for free and build the flow for the surge that's already showing up in your own numbers.

Mobile teams often reach a point where one long-tenured person is the only one who can explain why a segment excludes certain users or why a win-back journey waits 36 hours before it sends. Usually, those rules come from quick decisions made under deadline pressure and were never documented because they initially seemed obvious. That accumulation has a cost (and it's not the one usually raised in meetings about single points of failure or documentation debt.)

There's a name for what this could look like instead. Autonomous lifecycle marketing uses defined audience rules, Journey steps, and timing to automate messages across onboarding, retention, and re-engagement. That's the textbook version, anyway. It's the version where none of this depends on any one person's memory, which is exactly the gap most teams still need to close.

Consequences shaped liked falling dominos...

The obvious risk is that a few campaigns stall if that person takes a vacation or leaves. The bigger risk shows up a little bit later.

Those unwritten rules about who's in a segment or when a journey sends were built for how the business looked at the time they were written. As the business changes, nobody updates them, because nobody else understands them well enough to touch them without breaking something. You're still messaging people the same way you were a year or two ago, even though your product, your audience, or your customers' habits have moved on. Engagement and conversion slip a little every quarter, and it usually gets blamed on tired creative or bad send times.

By the time it shows up as an actual hit to revenue, it's nowhere near a quick fix. It's a year or two of decisions nobody ever questioned, and now leadership is asking why retention suddenly looks broken.

Where the fix is actually heading

The instinct is to solve this with better documentation. It rarely works, because documentation and informal knowledge don't grow at the same rate. Every new automated messaging rule and every quiet exception added to handle one edge case outpaces anyone's time to write it down properly, and the page that does get written explains what a rule does, not why it exists or what breaks if it's removed.

The more durable fix is a system built so its own logic is legible without a translator. That's the direction most serious customer engagement platforms are moving: toward configuration that explains itself, where a segment's definition or a journey's branching logic is something anyone, not just its author, can inspect directly in the tool.

The layer building on top of that is AI that can act on it. Some platforms are already shipping this. OneSignal's MCP Server, for instance, lets an AI assistant read what a journey or segment is actually doing and propose changes directly, with guardrails like requiring explicit confirmation before anything reaches real users.

Instead of hoping someone reads the documentation before touching the system, the system itself becomes something a person, or an AI acting on their behalf, can query and safely operate. It's an early signal of where AI marketing tools are headed generally, and part of what autonomous lifecycle marketing is meant to address.

In the meantime...

Here are a few things help even before any of that infrastructure exists:

• Keep a running decision log. Not full documentation, just a quick note every time you make or discover a rule explaining why it exists. It takes thirty seconds, and it's the "why" that runbooks always miss.
• Record a walkthrough instead of writing one. A five-minute screen recording of how a core journey or segment actually works captures the tacit logic a wiki page never will, and it's far more likely to actually get made.
• Document your biggest points of failure first. Trying to document everything guarantees you document nothing. Start with the handful of rules that would actually break something if you forgot them.
• Loop someone else in before you touch anything major. Even a 15-minute pairing session before a big change means the knowledge isn't only in your head anymore.
• Build a short "if this breaks" cheat sheet before you're out. Not a full runbook, just the two or three things most likely to go wrong and what to check first.

Getting promoted out of your own bottleneck

Remember the end goal here: Moving the logic out of your head and into something that holds it reliably instead, so a segment's rules or a Journey's timing are things a teammate, or an AI assistant working on your behalf, can actually see and act on, not just something you happen to remember.

That's the practical shape autonomous lifecycle marketing takes in a platform like OneSignal: segments, audience rules, and journey logic that live inside the system itself, visible to anyone who needs them, with OneSignal AI and the OneSignal MCP Server able to read and act on that logic directly once you're ready to hand more of it off. The version of the job worth having is the one where you're still the expert. You're just no longer the only one who can prove it!

If any of this sounds familiar, it's worth seeing what that actually looks like for your own stack. Get started with OneSignal for free and find out how much of this you can hand off without losing the part of the job you were actually good at.

Frequently asked questions

The push notification landscape shifted this year, and a simple feature checklist won't tell you which platform handles them well.

AI can now inform send times, message copy, and audience segmentation, so teams need to understand which controls and measurement tools each platform provides. AI marketing capabilities and pricing vary by platform and plan, so teams should confirm what is included before they compare costs.

Instead of ranking these seven platforms on channel count or send volume, we ranked them on how well they handle this shift specifically, for teams running lifecycle marketing and mobile retention programs.

1. OneSignal

OneSignal AI helps mobile teams build segments, draft journeys, and answer analytics questions in plain language. The OneSignal MCP Server lets an external AI assistant of your choice operate the platform, while confirmation guardrails help prevent changes from reaching real users without approval.

What sets this apart from most of the field isn't just the capability, it's also where it lives in the pricing. OneSignal AI and the MCP Server are available starting on the Free plan, with the Growth plan starting at $19/month and Professional and Enterprise plans scaling from there. Usage limits and plan terms determine how far that access extends, so teams should confirm current pricing, included features, and service terms before selecting a plan.

On G2, OneSignal also scores meaningfully higher than Braze on ease of use (9.3 vs. 8.3) and ease of setup (8.9 vs. 7.6), and is recognized as a G2 Leader for easiest implementation, with most teams live in days rather than months."

2. Braze

Braze remains a very capable platform for orchestrating push, email, SMS, and in-app messaging inside branching journeys, and its AI features (predictive engagement scoring, message variant optimization, intelligent send-time delivery) are genuinely strong. The tradeoff is cost and complexity: enterprise deployments commonly run $300,000 to over $1,000,000 annually, with implementation fees on top, and the platform assumes a dedicated team will run it. For an organization with ample resources, it's a solid choice. For most mid-market teams, the capability is real but the price of entry puts it out of reach.

That complexity extends to onboarding, too: most Braze implementations take multiple months and can require dedicated iOS, Android, and data engineering resources just to get live.

3. Iterable

Iterable's workflow builder is deep, with branching logic and cross-channel sequencing that can handle genuinely complex lifecycle programs. Its AI features are increasingly central to its pricing story too, though they're often positioned as an add-on rather than something bundled in by default, even at higher tiers. Iterable also markets itself as mid-market friendly, but actual mid-market pricing tends to land between $72,000 and $320,000 annually, a wide range and a real commitment before AI is even factored in.

G2 reviewers also flag a steep learning curve and reporting that's less robust than competitors', with a notable share of reviews citing inconsistent conversion tracking and attribution.

4. CleverTap

CleverTap pairs push notifications with deep behavioral analytics, and its AI layer, Clever.AI, is purpose-built for churn prediction and intent-based segmentation rather than general campaign optimization, a strong fit for teams that treat retention as a data science problem first. Its entry-level Essentials plan starts at $75/month, one of the more accessible list prices here, but the Growth, Advanced, and Enterprise tiers, where the deeper AI and analytics live, move to custom sales quotes, so the real cost of that capability isn't visible upfront.

Reviewers also note inconsistent email deliverability, which leads many teams to run a separate ESP alongside CleverTap for that channel, and the platform lacks native AI-driven recommendations or on-site personalization without added workarounds.

5. MoEngage

MoEngage had one of the more interesting years on this list: its acquisition of Aampe in mid-2026 added autonomous, per-user AI decisioning that adjusts message timing, content, and frequency for each customer rather than through manual A/B testing, and MoEngage also shipped its own MCP server for agentic workflows. The catch is budget: pricing scales from roughly $999/month at entry to $19,999+/month at the Enterprise tier, where full AI orchestration lives, so realizing the deeper benefit requires meaningful spend before a team can validate it at smaller scale.

Worth noting: the Aampe integration is brand new as of mid-2026 and is rolling out in phases across MoEngage's customer base rather than landing for everyone at once, so its real-world track record at scale is still building.

6. Customer.io

Customer.io remains an approachable platform to start with, with an Essentials plan at $100/month covering email, push, and SMS with basic automation. Its AI features focus on surfacing insights and streamlining routine tasks rather than autonomous execution. The friction shows up when a team outgrows Essentials: the next tier, Premium, jumps to $1,000/month with no step in between, and push and SMS volume can add meaningful cost on top, which makes budgeting harder as a program scales.

Reviewers also note the interface can feel overwhelming for non-technical users, with searching past messages and editing templates described as unintuitive.

7. Airship

Airship has evolved beyond its original push notification roots into full customer journey orchestration across mobile apps, wallets, SMS, email, and web, and it includes AI-driven orchestration for timing and channel selection. It's a  strong option for enterprise teams running complex, high-volume programs, particularly ones that want mobile wallet passes in the mix. Pricing is fully custom and sales-led, though: even teams under 1 million MAU typically see $25,000 to $75,000 annually, with no published self-serve tier, so evaluating Airship means starting a sales conversation before seeing a number.

How to weigh this for your team

Channel coverage and send volume used to be the questions that mattered most when comparing these platforms. In 2026, the more useful question is where AI actually lives in the pricing, and whether you can validate it on a real program before committing a six-figure budget to find out if it works.

Only 8% of teams say they've fully operationalized AI in their messaging workflows so far, per OneSignal's 2026 State of Customer Engagement Report, even though 65% are experimenting with it, which suggests most teams are still at the stage where being able to test cheaply matters more than raw feature depth. That's the gap OneSignal is built to close, and the reason it leads this list: not because it's the deepest platform on every dimension, several of these have real specialized strengths of their own, but because it makes AI-assisted lifecycle marketing something a team can start using this week, then scale into as the program grows.

Frequently asked questions

Every mobile marketing team has a tool they've outgrown and a reason they haven't left it. Usually a good reason. "We don't have the engineering time." "The last migration was a nightmare." "It's not broken, it's just annoying!" Fair enough, all of it.

Let's see what we can learn from a switch in perspective, since the risk of switching gets counted and the cost of staying almost never does.

A platform migration can create visible disruption, such as an onboarding issue that requires immediate attention. The cost of staying is often less visible: teams may spend time on manual segmentation, wait for support, delay campaigns, or miss conversion opportunities without recording the impact.

The costs that don't show up on a dashboard

Track these hidden costs during a platform evaluation:

• Developer time required to launch campaigns
• Manual segmentation work
• Missed targeting opportunities
• Support delays during outages

These fields show where campaign delays, stale audience data, missed conversions, and communication gaps add cost.

These costs become measurable when a team compares performance before and after a platform change. Customer case studies have associated improved traffic handling, segmentation, personalization, targeting, click-through rates, sales, and activation with better messaging capabilities. Document the baseline, the change made, and the outcome for each metric so the results can be evaluated in context.

The migration you're picturing probably isn't the one that happens

Start a platform migration with a current inventory of the work involved: SDK and API integrations, user identity, audience segmentation, automated workflows, and conversion measurement. This inventory gives teams a practical basis for estimating the migration effort. It also keeps the evaluation focused on the current implementation rather than assumptions based on past projects.

Migrations require planning. Teams should document integration requirements, data and identity mapping, campaign workflows, and the outcomes they will measure after launch.

A better question than "What could go wrong?"

Try asking a different question instead, one your current platform has been conveniently avoiding for you: what is this already costing me every month that I've stopped noticing?

You don't need a spreadsheet to start answering that. A few signs tend to show up before the number ever gets written down:

You've  narrowed what you attempt. Certain campaigns or journeys don't get built anymore, not because they wouldn't work, but because building them takes more time or developer help than they seem worth.

Your segments haven't changed in a long time. You're still targeting audiences the same way you did a year or two ago, because updating the logic means untangling rules nobody fully remembers setting up.

Broad is the default, not the choice. You send to bigger, blunter audiences more often than you'd like, not because it performs better, but because real targeting takes longer than the platform makes it worth.

You've built workarounds around the workaround. A spreadsheet, a manual export, a running list of exceptions somewhere, something outside the platform is quietly doing part of its job.

A support ticket is part of your timeline. When something breaks mid-campaign, you've learned to build in wait time for a response rather than expecting to fix it yourself.

If two or three of these sound familiar, the cost is already higher than it feels. The next step is putting a real, even rough, number on it instead of a feeling.

You don't have to guess

None of this is an argument that switching is always the right call. Sometimes the honest math says stay, and that's a perfectly good answer, as long as it's the one you actually arrived at. What shouldn't happen is a decision made by default, because the discomfort of staying is quieter than the discomfort of change, even when it's more expensive.

Compare the options with a short migration worksheet: record time spent on manual segmentation, campaign delays, support wait times, missed conversion opportunities, and the outcomes each platform can measure. Include the SDK, API, integration, and data-migration work required. This gives your team a documented basis for deciding whether to stay or switch.

If you'd rather work from real numbers than a guess, OneSignal's ROI of switching breakdown shows what teams have actually saved after making the move, using real migration data instead of estimates. Take a look, then get started for free and see where your own numbers land.

Frequently asked questions

Most "best AI marketing tools" lists have a problem if you're running growth for a mobile app. They're either written for content marketers in general, so half the list is a blogging assistant and an SEO tool that have nothing to do with an app, or they're a shootout between five lifecycle platforms that all do the same thing and expect you to pick exactly one.

So instead of a ranking, here's a map: the jobs AI is now genuinely good enough to take off a mobile marketer's plate, organized by what each one actually does, plus where messaging itself fits into that stack. None of these compete with each other. Most teams will end up using more than one at the same time.

Canva Magic Studio: Creative production without a design queue

For creative production, Canva Magic Studio helps lifecycle marketers create first drafts of push notification images, in-app message visuals, App Store screenshots, and feature-announcement social posts. Its text-to-image, text-to-video, and AI copywriting tools support headlines and captions alongside visual assets. It is most useful for the steady volume of smaller campaign assets that lifecycle programs need each week.

AppTweak: Getting found before you have to pay for it

Paid acquisition gets most of the attention, but organic installs often begin when someone searches the App Store or Google Play for a specific need. AI-driven app store optimization tools identify search terms and listing changes to test, helping teams improve visibility in relevant app-store results. For teams evaluating AI marketing tools, this category supports app discovery rather than customer messaging. Stronger store listings can grow organic traffic and reduce reliance on paid acquisition.

OneSignal: Turning audience data into an actual message

OneSignal is a customer engagement platform that sends messages based on audience segments and behavioral triggers. OneSignal AI lets marketers build segments, draft journeys, and review campaign performance using plain-language prompts instead of manual setup. The OneSignal MCP Server goes a step further, letting external AI assistants like Claude or ChatGPT operate OneSignal campaigns directly, with confirmation required before any message reaches real users.

Where the other tools on this list help marketers create content, get discovered, or understand their users, OneSignal is the autonomous lifecycle marketing platform that turns those inputs into a message that actually reaches someone, at the right moment.

AppFollow: Hearing what your users are actually saying, at scale

For teams evaluating AI marketing tools, this review-listening tool analyzes App Store and Google Play reviews to identify recurring themes. Marketers can spot a growing UX complaint or see where competitors' users describe needs their app already meets, then use those findings to prioritize lifecycle campaigns before retention suffers.

Julius AI: Answering your own data questions without a data team

Marketing teams without a dedicated analyst can use it to examine spreadsheet or campaign-export data in plain language. Teams can ask whether an App Store update changed retention or identify channels that underperform, then use the results to decide what to investigate next. It suits lean teams that need answers from existing data without building a full business-intelligence workflow.

All that work eventually needs somewhere to land

Each one of these tools is built for a specific job, creating assets faster, getting discovered, understanding what users are actually saying, or making sense of your own data. The real skill in 2026 isn't finding one AI tool that does everything, it's knowing which job you're solving for and reaching for the right one.

However good your creative, your ASO research, or your feedback analysis gets, it still has to turn into an actual message that reaches the right person at the right time.

If any part of your stack from this list ends in "now go build the actual message," that's where OneSignal fits in. Get started for free and see how much of that last step you can hand off.

Frequently asked questions

The French (CNIL) and Italian (Garante) data protection authorities published new guidance on the use of email tracking pixels. These are not new laws. Instead, they clarify how each regulator interprets existing privacy rules as they apply to tracking pixels in email.

This generally focuses on recipients located in France or Italy rather than citizenship alone. However, how these rules apply to individual recipients can depend on the circumstances and applicable privacy laws.

The guidance generally treats email open tracking similarly to other tracking technologies, such as website cookies. For many common marketing and analytics uses of open tracking, senders are expected to obtain consent before tracking a recipient's email opens. There are some exceptions for specific technical, security, deliverability, and service-related purposes, and the exemptions are not identical between France and Italy.

It also emphasizes transparency around what is being tracked and why, as well as giving recipients an easy way to withdraw their consent without having to unsubscribe from email entirely.

All of this is primarily focused on open tracking. Click tracking is not directly covered by the French recommendation, although CNIL notes that similar principles can be used when evaluating tracked links. Requirements and interpretations around click tracking may continue to evolve.

What should you do today?

The most important thing is don't panic or rush into making major changes. There are still practical questions that senders, email service providers, and the broader industry are working through.

One of the biggest challenges is location. Many senders don't collect country or location data for their subscribers, which makes it difficult to know which recipients may be covered by the French or Italian guidance. There are also open questions around how global senders should handle these requirements and what approaches will become standard across the industry.

For now, familiarize yourself with the guidance and consult with your legal advisor. Some steps to consider are:

• Audit - Review and map how you currently use email open tracking, particularly if you send email to recipients in France or Italy
• Fix your consent collection going forward - For any new email address you collect, consent to tracking should be obtained at the point of capture, alongside your existing email consent, not after the fact
• Handle your existing list - For recipients already in your database, CNIL required that you notify them and offer an opt-out by July 14. Under Garante you will need to notify them around mid-October 2026. Because these are time sensitive, we recommend you consult your legal advisor as soon as possible.

We will continue to follow developments as regulators and the email industry work through these requirements.

If your organization determines that changes are necessary now, OneSignal's existing functionality provides options for limiting or disabling email tracking. We've outlined those options below.

How can you disable open tracking in OneSignal today?

You have a few options available with OneSignal's current functionality.

1. Blanket approach

You can turn off tracking for emails coming from your domain by deleting the CNAME record provided in your OneSignal Email settings from your DNS registrar.

Once this record is removed, open and click events will no longer be logged for emails sent from that domain going forward. This is the simplest approach, but it also means losing these engagement metrics across your email program.

2. Create a secondary subdomain without tracking

For more control, you can create a secondary sending subdomain without the CNAME record provided by OneSignal. Emails sent using this subdomain will not log open or click events.

This allows you to continue sending emails with tracking from your existing subdomain while using the secondary subdomain for recipients or campaigns where you do not want tracking enabled.

For example:

email.example.com → tracking enabled
email-notracking.example.com → tracking disabled

This approach allows you to separate tracked and non-tracked email without turning off tracking across your entire email program.

How can you target recipients who should not be tracked in OneSignal?

There are a couple of approaches you can use today to identify recipients who should receive emails without open tracking.

1. Start collecting consent for open tracking

If you choose to collect tracking consent, you can capture that preference when someone provides their email address. This can be done alongside your existing signup or email consent process by clearly asking whether the recipient agrees to email open tracking.

You can then store that preference in OneSignal as a tag, such as:

open_tracking_consent = true
open_tracking_consent = false

This allows you to build segments based on tracking preferences. Recipients without the appropriate tracking consent can be sent email using your secondary subdomain with tracking disabled.

Recipients should also have an easy way to change their preference later. For example, you could include an "Email tracking preferences" link near your unsubscribe link that directs recipients to a preference page you control.

When a recipient changes their preference, update the corresponding tag in OneSignal so future emails can be sent using the appropriate tracking configuration.

2. Use location data you already collect

If you already collect location information and can reliably identify recipients in France or Italy, you can use that data to create separate OneSignal segments.

Those segments can then receive email using your secondary subdomain with tracking disabled, while other recipients can continue receiving email through your existing sending configuration.

If you don't currently collect location data, we would not suggest trying to determine a recipient's location based solely on their email address or mailbox provider. An @gmail.com, @outlook.com, or similar address does not reliably tell you where that recipient is located.

What OneSignal is doing

We're closely monitoring the guidance from France and Italy and how regulators, senders, and other email providers respond. There are still important questions about how these requirements should work in practice, especially for senders that don't know the location of every recipient.

For now, we're not making immediate changes to how email open tracking works in OneSignal. Open data plays an important role in email analytics, audience engagement, and deliverability workflows. Making broad changes before the requirements and common implementation patterns are clearer could have a meaningful impact on customers without necessarily solving the underlying challenges.

We're continuing to evaluate what additional product capabilities may be appropriate as regulatory expectations, customer needs, and industry implementation patterns become clearer. As we learn more, we'll share updates with our customers and provide guidance on any changes they may need to make.

Disclaimer

This article is for informational purposes only and does not constitute legal advice. The French and Italian guidance is still evolving, and how it applies to your email program depends on your specific circumstances, including where your recipients are located, how you collect data, and how you use open tracking. As the sender, you are best positioned to assess your compliance obligations. We recommend consulting legal counsel before making changes to your tracking practices.

Firebase Cloud Messaging (FCM) is reliable, free, and genuinely good at one job: getting a notification onto a phone. Deciding who should get that notification, and what to do next, is a different problem entirely. That problem rears its head in the weeks after you've dropped the FCM SDK into your app, registered a server key, and shipped your first build.

Challenging questions begin to arise:

• Which segments actually convert?
• What happens when someone ignores three notifications in a row?
• How do you reach that same person through another channel once they've closed the app?

Most teams start looking for firebase alternatives due to this beautiful Grand Canyon between sending notifications and running an engagement program.

This guide compares direct alternatives to FCM for push delivery, plus broader platforms that layer multichannel messaging, segmentation, automation, and analytics on top. If you just want a straight push notification service, we've got you covered. If you're evaluating a customer engagement platform or a multi-channel messaging solution that can orchestrate campaigns across channels, we'll dive into that as well.

FCM is Google's free push notification service for Android, iOS, and web platforms. Firebase is the broader cloud-native backend that includes Realtime Database, Firestore, authentication, and FCM. Remember, replacing FCM doesn't mean replacing all of Firebase.

Firebase Cloud Messaging alternatives at a glance

This guide is decision-oriented. We explain the methodology first, then give you a scannable comparison table, then assess every platform the same way. We avoid universal rankings because the right choice depends on your channels, stack, and operating model.

A freshness note: features and pricing change. As of August 2026, the details here reflect the supplied vendor sources, but confirm current feature availability and pricing on each vendor's page before you buy. We do not state prices we cannot verify.

What FCM provides, and what a customer-engagement platform adds

A push notification provider is infrastructure that manages and delivers notifications at scale between an app and native operating-system gateways such as Apple Push Notification service (APNs) and FCM. The OneSignal guide to push notification services walks through how this transport layer works.

The distinction that matters is infrastructure versus platform. FCM is a free transport layer for delivering messages to devices. A managed engagement platform such as OneSignal adds segmentation, journeys, analytics, and a dashboard on top of that transport.

FCM is the delivery layer
FCM handles push delivery. It does not handle multichannel orchestration, behavioral triggers, or engagement workflows. If you use FCM alone, your team builds segmentation, scheduling, A/B testing, analytics, and cross-channel journeys yourselves, as OneSignal's guide to switching messaging providers explains. For an engineering-led team with the capacity to build that logic, that is a reasonable trade.

Engagement platforms add the operating layer
The broader capabilities a growth team often needs go well past delivery: mobile push, web push, in-app messaging, email, SMS, RCS, workflow automation, behavioral segmentation, experimentation, and conversion analytics. This is where marketing automation software earns its place. A delivery API sends a message. Automation software decides who receives it, when, on which channel, and what happens next based on how they respond.

A multi-channel messaging platform coordinates all of that across channels. Worth distinguishing two terms people use loosely: multichannel means sending across several channels; omnichannel means tailoring the message and sequencing to the user's channel and lifecycle context. Sending the same push and email is multichannel. Sending a push, then an email only if the push goes unopened, with copy adapted to each, is omnichannel.

When a push notification provider is enough
FCM remains an appropriate choice for engineering teams that want no-cost transport and are prepared to build the surrounding campaign and targeting logic themselves. If your notifications are transactional, your volume is predictable, and you have engineers who want direct control, you may not need a platform layer at all. When marketers start asking for audiences, tests, and journeys, a platform layer becomes worth the cost.

How we evaluated Firebase Cloud Messaging alternatives

The comparison weighs reliability, scalability, rich-content support, mobile and web coverage, customization, cost model, SDK and API approach, segmentation, personalization, automation, analytics, and transactional messaging support. We also separated what developers care about from what marketers care about, because the same platform can look strong to one group and thin to the other.

Core push-delivery requirements
Start with delivery. A provider must support high-volume sends without delays. It must also avoid overwhelming your servers. Evaluate reliable high-volume delivery, rate limiting, and protection against traffic spikes, as OneSignal's push notification services guide recommends. Confirm iOS, Android, and web coverage. Check whether the SDK and API give you the delivery controls you expect, and clarify who owns the backend.

Engagement and workflow requirements
Marketers need audiences, templates, testing, journeys, and reporting. Evaluate personalization beyond first-name fields: user properties, in-app behavior, and historical data should all be usable in a message, as the same guide notes. Analytics should cover delivery, opens, conversion funnels, and, where applicable, direct revenue attribution. A platform that reports opens but cannot tie a message to a purchase leaves money uncounted.

Commercial and implementation requirements
For each platform below, we use bullets for pros, constraints, pricing model, and best-fit use case, and we separate a documented limitation from a feature that simply was not verified in the supplied research. Prioritize the criteria that affect your actual operating model: channel mix, data model, integration fit, security requirements, team capacity, and total cost of ownership. Headline subscription cost alone is a poor proxy for what a platform will really cost you.

Compare 10 Firebase Cloud Messaging alternatives

Entries below use only source-supported capabilities. Where the research does not verify a field, it reads "Confirm with vendor" rather than a guess.

Detailed reviews of the 10 alternatives

Each review follows the same shape: what the platform is, its channel and workflow scope, developer and operational strengths, constraints, pricing model, and best-fit use case. Where the supplied research does not verify pricing, check the vendor's pricing page rather than trusting a number here.

OneSignal
OneSignal is a reliable, developer-friendly enabling layer for retention, iteration, and long-term product growth. It supports mobile push, web push, in-app messaging, email, SMS, RCS, and Live Activities, whereas FCM supports mobile push, web push, and in-app messaging in the OneSignal Firebase Cloud Messaging comparison. The platform provides an SDK that apps integrate to enable messaging, plus a full API reference for automating messaging, managing users, and tracking delivery.

The data model is precise and worth understanding early. A User is an individual with one or more messaging-channel subscriptions. A Subscription is the specific channel or device through which that user can receive messages. One user can hold a push subscription on two devices and an email subscription at the same time.

• Pros: broad channel coverage, Journeys automation, clear User and Subscription model, generous Free Plan, full API.
• Cons: as a managed platform it still runs on top of FCM for Android, so you retain some Android push-delivery concepts.

Pricing: the free plan is limited by monthly active users. The Growth Plan starts at $19 per month, with additional costs based on channel usage. Professional and Enterprise Plans use custom pricing with volume-based discounting. Best fit: mobile-first teams that want push plus lifecycle engagement without building the operating layer themselves.

Amazon SNS
Amazon SNS is AWS-native messaging infrastructure built for massive fanout. It supports push, SMS, and email via Amazon SES and HTTP, and is infrastructure-oriented rather than a workflow-automation platform.

• Pros: enormous scale, tight AWS integration, flexible delivery targets.
• Cons: no workflow automation in the supplied comparison; you build campaign and targeting logic yourself.

Pricing: confirm with vendor. Best fit: AWS-native engineering teams that need high-volume fanout and already use AWS services.

Pusher Beams
Pusher Beams is a focused push API for developers who want a simple integration. It's push-only, with no built-in workflow automation.

• Pros: simple push API, quick to integrate.
• Cons: push-only, no automation or additional channels in the supplied comparison.

Pricing: confirm with vendor. Best fit: developers who want a lightweight push API and nothing more.

Airship
Airship targets enterprise mobile engagement teams that need advanced journey orchestration. It offers push, email, SMS, in-app messaging, and web support, with no free tier.

• Pros: mature orchestration, wide channel coverage, enterprise features.
• Cons: custom pricing and no free tier, which raises the barrier to entry for smaller teams.

Pricing: custom, no free tier. Best fit: enterprise teams running complex cross-channel journeys at scale.

Pushwoosh
Pushwoosh serves teams that want omnichannel messaging plus a self-hosted option and data control. It offers push, email, SMS, in-app messaging, and a customer journey builder.

• Pros: omnichannel coverage, journey builder, self-hosted option.
• Cons: self-hosting adds operational responsibility.

Pricing: confirm with vendor. Best fit: teams that need cross-channel messaging and want to keep data under their own control.

MagicBell
MagicBell centers on a built-in notification inbox alongside push, email, SMS, and in-app messaging. Workflow automation is comparatively basic.

• Pros: built-in notification inbox, several channels, product-friendly.
• Cons: basic workflows in the comparison listing, so complex journey logic may need confirmation.

Pricing: confirm with vendor. Best fit: product teams that want an in-app notification inbox as a first-class feature.

Expo Notifications
Expo Notifications is free push infrastructure built into the Expo framework for React Native apps. It is narrowly scoped and not a documented multichannel engagement suite.

• Pros: free, built into Expo, low friction for React Native teams.
• Cons: push-only, tied to the Expo framework, no documented multichannel orchestration.

Pricing: free. Best fit: React Native teams already using Expo who need straightforward push.

EngageLab
EngageLab covers app and web push, email, SMS, WhatsApp, and in-app messaging, with a visual journey builder and pre-built templates.

• Pros: broad channel set including WhatsApp, visual journey builder, templates.
• Cons: fields such as API details and pricing need vendor confirmation.

Pricing: confirm with vendor. Best fit: teams that want wide channel coverage, including WhatsApp, from one platform.

MoEngage
MoEngage focuses on cross-channel marketing, analytics and insights, web and app personalization, and real-time transactional alerts through a single API. Its listed Migration Program capability can help teams moving from another provider.

• Pros: cross-channel marketing, strong analytics positioning, single-API transactional alerts, migration support.
• Cons: pricing and SDK specifics need vendor confirmation.

Pricing: confirm with vendor. Best fit: marketing teams that want cross-channel campaigns backed by analytics.

CleverTap
CleverTap positions itself around customer lifetime value. Treat that as vendor positioning, not an independently verified outcome.

• Pros: lifetime-value analytics focus.
• Cons: channel, API, and pricing details need vendor confirmation; the lifetime-value framing is a marketing claim.

Pricing: confirm with vendor. Best fit: teams that prioritize lifetime-value analytics and want to validate the claims in a trial.

OneSignal vs. Firebase Cloud Messaging

The OneSignal vs Firebase question comes up constantly, and the honest answer starts with a fact that surprises people: OneSignal runs on top of FCM for Android delivery, as OneSignal's switching guide explains, so you keep the delivery transport and add an engagement layer above it. The dedicated OneSignal versus FCM comparison breaks this down in detail.

Delivery infrastructure versus engagement capability
FCM is focused on delivery. OneSignal adds documented campaign tools: user segmentation, advanced campaign builder options, custom message personalization, automated omnichannel Journeys, Intelligent Delivery and Timezone Delivery, unlimited API, and email auto warm-up, per the comparison page. In the same comparison, FCM lists limited user segmentation, a basic campaign builder, limited personalization, and limited API capabilities for push and in-app messaging. A managed platform still requires you to understand Android push-delivery architecture. It provides the campaign layer so your team does not build one.

Channels, orchestration, and audience control
FCM covers mobile push, web push, and in-app messaging. OneSignal covers those plus email, SMS, RCS, and Live Activities, which lets you sequence a message across channels rather than treating each in isolation. Audience control is the practical difference day to day: building a segment of users who abandoned checkout and never opened yesterday's push is straightforward in an engagement platform and a build project on raw FCM.

Developer workflow and pricing tradeoffs
Look at total cost of ownership, not just the subscription line. FCM notification sends are free, but Firebase data storage, image hosting, and analytics can add costs, and image-hosting bandwidth is listed at $0.15 per GB in the OneSignal comparison. Retain FCM alone when your team wants direct control and has the capacity to build campaign logic. Consider OneSignal when you need a managed cross-channel user experience with behavioral segmentation, automation, testing, and analytics — a tradeoff that OneSignal's switching guide frames around team capacity more than any single feature. Teams that make the switch often see it pay off fast: Bitcoin.com saw transaction volume rise 11-15% after moving off Firebase, per OneSignal's ROI of switching page. The OneSignal blog comparison covers the long-term platform commitment angle as well.

Real switchers back this up. In a G2 review, small-business user Ahmed S. put it plainly:

“OneSignal’s reporting system solves the Firebase messy reports.”
Read the review on G2.

Andrew Baltazar, Director of Product, Engagement, and Apps, echoed the same theme in his own G2 review, cited in OneSignal’s Firebase comparison:

“OneSignal had all the features we needed out of the box, could deliver messages across both web and mobile, and presented a leaner workflow. It was a no brainer.”

How to choose the right platform for your team

Answer one question first: is your need transport-only push, managed push campaigns, or full lifecycle orchestration across channels? That answer eliminates most options immediately.

Choose based on your messaging maturity
Map your situation to a scenario:

• AWS-native engineering team: Amazon SNS keeps you inside your existing infrastructure.
• React Native and Expo team: Expo Notifications is the lowest-friction path for push.
• Product team needing an in-app inbox: MagicBell has one built in.
• Data-control or self-hosting team: Pushwoosh offers a self-hosted option.
• Enterprise orchestration team: Airship handles advanced journeys at scale.
• Mobile-first team that needs push plus lifecycle engagement: OneSignal adds the operating layer above FCM.

Match the platform to your architecture
Score your finalists against channel support, pricing model, segmentation and automation depth, integration fit, and ease of use, as OneSignal's switching guide recommends. Request these proof points during a trial or technical evaluation:

• SDK documentation and API rate limits
• Delivery and conversion reporting
• Personalization controls and journey logic
• Data exportability and migration support
• Pricing for your projected volume

Review customer feedback and case studies alongside product docs to judge real-world UX and operational fit, which the switching guide also advises.

Build a defensible business case
Before you calculate ROI, quantify your current pain using measurable indicators such as developer hours lost per week or conversion-rate impact, then define measurable business goals, as OneSignal's guide to making the case to a CMO explains. ROI should account for hard benefits such as engagement uplift and reduced churn, and soft benefits such as reclaimed developer and marketer time. A number attached to a real problem is far easier to approve than a feature wish list.

How to migrate from Firebase Cloud Messaging

A staged migration reduces risk. The checklist looks like this: compare alternatives, validate iOS, Android, and web support, update the backend with the new SDK and API connections, migrate device tokens, test delivery, then monitor engagement and iterate.

Plan the migration before writing integration code
Agree the migration plan with stakeholders across IT, product, and data to reduce risk, a point OneSignal's switching guide stresses. One legacy detail matters: FCM legacy API usage was scheduled to terminate on June 20, 2024, so teams on legacy implementations should confirm that Firebase Cloud Messaging API V1 is enabled, per OneSignal's FCM deprecation guidance. Do not skip stakeholder alignment; the guide to switching customer messaging platforms covers transition governance in depth.

Move tokens, credentials, and campaigns safely
The technical work spans SDK installation, server-side API integration, token registration and identity mapping, credential configuration, consent and preference preservation, campaign recreation, fallback behavior, and phased rollout testing. Preserve consent and preference data carefully during the migration, so users continue to receive only the messages they agreed to. If you migrate to OneSignal, the platform supports FCM and provides migration and backend-maintenance support, as the FCM deprecation guide describes.

Validate delivery and optimize after launch
Do not promise yourself a fixed timeline. Complexity depends on your channels, identity model, custom backend logic, and existing campaign automation. Run a phased rollout, compare delivery and open rates against your FCM baseline, then iterate on segmentation and timing once you trust the numbers.

Choose an engagement stack that fits your product

The decision comes down to three paths. Choose FCM alone when you want transport control and have the engineering capacity to build campaign logic. Choose an infrastructure-focused alternative such as Amazon SNS when architecture fit is the priority. Choose a customer engagement platform when segmentation, cross-channel journeys, analytics, and iteration speed drive your outcomes.

Mobile engagement is a product capability, not just a marketing function. The right platform supports retention and lets you iterate without interrupting the core app experience. Treat it as part of how your product works, because that is what your users experience.

Your next step is concrete: shortlist two or three platforms, validate the criteria through a proof of concept, confirm current pricing directly with each vendor, and write a phased migration plan before you commit.

If you want a developer-friendly platform layer above FCM, review OneSignal's Firebase Cloud Messaging comparison to see how the delivery transport and the engagement layer fit together.

Frequently asked questions about Firebase alternatives