Mobile Attribution Platforms: The Best MMPs Compared for 2026

Many teams pick a mobile measurement partner once and then stop thinking about it, right up until a budget review asks why iOS numbers do not match Android numbers, or why a platform that used to explain campaign performance now just shows a modeled estimate.

The ground under mobile attribution shifted twice in the past year: Apple kept pushing app networks toward AdAttributionKit, and Google quietly killed the entire Android Privacy Sandbox initiative.

So, a platform choice made even eighteen months ago was made for a different set of privacy rules than the ones running today.

This guide covers what actually changed, how to evaluate a mobile measurement partner (MMP) against those new rules, and a current, verified comparison of the ten platforms worth putting on a shortlist in 2026.

TL;DR

• A mobile attribution platform, now more commonly called an MMP (mobile measurement partner), aggregates install and in-app event data so you can see which channel actually drove a result instead of just which one claims credit for it.
• The single biggest change since this category was last widely covered: Google retired its entire Android Privacy Sandbox initiative in October 2025, and Apple is migrating gradually from SKAdNetwork toward AdAttributionKit.
• Choose a platform on data accuracy, features, report quality, attribution speed, fraud prevention, SKAN/AdAttributionKit support, and price, in that rough order of importance for most teams.
• AppsFlyer remains the broadest default; Adjust, Singular, Branch, Kochava, Airbridge, Tenjin, Affise, and AppMetrica each fit a narrower, specific situation better.
• Cometly is worth knowing about even though it is not a traditional MMP: it is built for teams that need one view spanning mobile app, web, and CRM data, well beyond app installs alone.

What is mobile attribution? (And what does "MMP" mean?)

Mobile attribution is the practice of connecting a mobile app install, or an in-app action like a purchase, back to the specific marketing channel and campaign that actually caused it.

The industry now calls the tools that do this "mobile measurement partners," or MMPs, a term that has effectively replaced "mobile attribution platform" in most vendor and analyst material, even though both phrases describe the same category.

How does an MMP work?

An MMP:

• Sits between your ad networks and your app, using an SDK to record what a user did and when.
• Then, it applies an attribution model to decide which touchpoint gets credit.

This matters because ad platforms grade their own homework: Meta, Google, and TikTok each report on their own campaigns using their own rules, and left unchecked, more than one network will claim credit for the same install. An MMP applies one consistent model across every channel and resolves the duplicate claims.

The current state of mobile attribution: SKAdNetwork, AdAttributionKit, and Android's privacy reversal

Mobile attribution in 2026 runs on two separate frameworks per platform, and the two operating systems are now moving in opposite directions.

On iOS, SKAdNetwork 4.0 is still the operational baseline most ad networks actually run on.

That’s despite the fact that Apple introduced AdAttributionKit (AAK) as its intended successor at WWDC 2024 and expanded it significantly at WWDC 2025. AAK adds real capabilities SKAN never had:

• Configurable attribution windows
• Native re-engagement measurement
• Support for alternative app marketplaces under the EU's Digital Markets Act.

However, adoption across ad networks remains uneven: TikTok has moved furthest toward AAK, while Meta, Google, and Snap still run primarily on SKAN 3 or 4.

Apple itself reports AAK and SKAN together now cover 77% of referral-based App Store conversions, but confidence in what that data actually tells marketers is mixed. One widely cited 2025 AppsFlyer survey found only about 25% of marketers said SKAN had a clearly positive impact on their iOS user acquisition.

On Android, the story reversed entirely.

Google spent six years building Privacy Sandbox as its answer to a cookie-less, identifier-restricted future, then officially retired the initiative in October 2025, citing low adoption and sustained regulatory scrutiny from the UK's Competition and Markets Authority and other regulators.

The practical result: Android's advertising ID keeps functioning largely as it does today, with no confirmed deprecation timeline. This is a real, if likely temporary, reprieve for advertisers who had been planning around an Android version of Apple's identifier lockdown.

What this means for choosing a platform:

• iOS measurement now requires a platform that handles SKAN and AAK simultaneously, since ad networks are not migrating in lockstep.
• Android measurement is more stable than the category expected a year ago, though that stability is unlikely to be permanent.

Every entry below is evaluated against both frameworks explicitly, alongside SKAN.

Mobile attribution platforms compared at a glance

The table below lines up all ten platforms on the four things most buyers filter by first: what they are best for, entry-level pricing, and current SKAN/AdAttributionKit support.

Top 10 mobile attribution platforms (MMPs) compared

The top mobile attribution platforms for 2026 include AppsFlyer, Adjust, Branch, Singular, Kochava, Airbridge, Tenjin, Affise MMP, AppMetrica, and Cometly, each verified this update against current 2026 pricing and each platform's own current SKAN and AdAttributionKit documentation.

1. AppsFlyer: best overall

AppsFlyer remains the broadest default MMP, with the widest ad network integration ecosystem in the category and full SKAdNetwork 4.0 support alongside an expanding AdAttributionKit rollout. In June 2026, Google, Meta, Moloco, and Unity jointly invested more than $1 billion in AppsFlyer at a $2.7 billion valuation, a strong signal of continued category leadership. Check AppsFlyer's own case-study library for a match to your category.

• Not a fit for: teams that want a single published enterprise rate instead of a negotiated one.
• Pricing: Free (Zero, capped at 12,000 lifetime installs); $0.07/conversion (Growth); custom (Enterprise).
• SKAN / AAK: Full SKAN 4.0 support; AdAttributionKit rollout in progress.

2. Adjust: best for security and fraud prevention

Adjust pairs full SKAN 4.0 and AdAttributionKit support with one of the category's more established fraud-prevention engines, built partly on its acquisition of anti-bot-fraud firm Unbotify. The platform has operated under AppLovin's ownership since 2022, keeping its own brand and team while gaining AppLovin's scale. Buyers should ask directly how that ownership affects long-term roadmap and data-handling policy, a fair diligence question for any acquired MMP. Adjust also doubles as an app analytics platform alongside attribution.

• Not a fit for: teams wanting a fully independent, non-acquired vendor as a matter of policy.
• Pricing: Custom, contact sales.
• SKAN / AAK: Full SKAN 4.0 and AdAttributionKit support.

3. Branch: best for e-commerce and deep linking

Branch's core strength is deferred deep linking: routing a user through an app-store install straight into the specific content a link originally pointed to, even before the app was installed. That matters in 2026 and heading into 2027 because Google deprecated Firebase Dynamic Links on August 25, 2025, and Branch responded with a $10 million migration fund for teams moving off that infrastructure, a concrete, dated proof point. Branch's published case studies list PhonePe, Meesho, Nykaa, and Swiggy among its users.

• Not a fit for: teams that only need deep linking, since Branch prices the full attribution bundle regardless.
• Pricing: Free tier; paid plans from roughly $500/month; enterprise custom, MAU-based.
• SKAN / AAK: SKAN supported; AdAttributionKit support in progress.

4. Singular: best for large, multi-channel teams

Singular combines attribution with cost aggregation, pulling spend data from every ad network into one place so ROI can be calculated per campaign, creative, and keyword without a separate data-engineering effort. It is one of the few MMPs that publishes pricing outright: a free plan covers up to 15,000 paid conversions with fraud prevention and reporting APIs included at no extra cost, and Growth runs $0.05 per conversion, undercutting AppsFlyer's $0.07 rate for a comparable feature set. Singular explicitly supports AdAttributionKit alongside SKAdNetwork.

• Not a fit for: teams that need fraud prevention and reporting APIs bundled free at every tier elsewhere in the market; Singular already includes both.
• Pricing: Free (15,000 conversions); $0.05/conversion (Growth); custom (Enterprise).
• SKAN / AAK: SKAN 4.0 and AdAttributionKit both supported.

5. Kochava: best for indie teams and CTV/IoT

Kochava extends attribution coverage beyond phones into connected TV, gaming consoles, and other connected devices, setting it apart from MMPs built mobile-first that treat other device types as an afterthought. Its Kochava Collective audience marketplace gives access to a reported 1.8 billion device profiles for audience building, a genuinely distinguishing structural feature on this list. A free App Analytics tier covers up to 10,000 attributed conversions per month, useful for validating a UA channel before committing budget.

• Not a fit for: teams needing to unify mobile attribution with web, email, or CRM touchpoints in one view; Kochava stays device-centric.
• Pricing: Free (10,000 conversions/month); custom scaling pricing beyond that.
• SKAN / AAK: SKAN supported alongside probabilistic modeling for post-ATT iOS attribution.

6. Airbridge: best for transparent, usage-based pricing

Airbridge's Core plan is genuinely unusual in this category: $0.05 per install, pay-as-you-go, no annual contract, and 15,000 free attributed installs before billing starts, at a time when most competitors still require a sales call before disclosing any price. The platform bundles mobile measurement, multi-touch attribution, incrementality testing, and marketing mix modeling into one dashboard, and it has built a specific reputation in APAC markets. Airbridge markets itself directly at teams migrating off a legacy MMP that grew too expensive to budget against confidently.

• Not a fit for: teams that want a vendor already dominant in North American enterprise accounts specifically; AppsFlyer and Adjust have deeper incumbency there.
• Pricing: $0.05/install, pay-as-you-go; custom enterprise plans available.
• SKAN / AAK: SKAN supported.

7. Tenjin: best for gaming studios and indie developers

Tenjin built its 2026 pricing update around a specific complaint the category still struggles with: opaque, feature-gated pricing that requires a sales call to understand. Every plan, including the free tier, includes the full feature set (attribution, LTV prediction, cost aggregation), with nothing held back for higher tiers. The free plan covers up to 2,000 conversions monthly for the account's lifetime; paid plans start at a flat $200/month for 10,000 conversions. Tenjin is a certified measurement partner for Meta, TikTok, and Google.

• Not a fit for: teams outside gaming and app-focused indie development, where Tenjin's roadmap and support are less specialized.
• Pricing: Free (2,000 conversions/month); $200-$700/month scaling tiers; custom enterprise.
• SKAN / AAK: SKAN supported across every plan.

8. Affise MMP: best for scaling apps and partner channels

Affise runs two related but distinct products: Affise Performance, built for affiliate networks, and Affise MMP, the mobile attribution product relevant here, covering full-funnel tracking for installs, in-app events, re-engagements, and uninstalls across iOS and Android. It supports SKAdNetwork and Facebook-specific attribution, plus raw data exports and a centralized dashboard built for media-buying teams managing bulk campaign edits across many partners at once. Affise positions itself at growing apps that need cross-device attribution and an affordable entry point over an immediate enterprise contract.

• Not a fit for: teams that need AdAttributionKit support confirmed today; Affise's current documentation centers on SKAdNetwork specifically.
• Pricing: Custom, contact sales.
• SKAN / AAK: SKAdNetwork supported; AdAttributionKit not confirmed in current documentation.

9. AppMetrica: best free option

AppMetrica, built by Yandex, is genuinely free with no paid tier, covering install attribution, event tracking, cohort analysis, crash analytics, and push notifications in one SDK. It works as a reasonable stopgap for an early-stage app or a team with no attribution budget at all. The honest caveat: AppMetrica sits outside Google's accredited App Attribution Partner list, so attribution for the largest paid channels stays incomplete next to an accredited MMP, and AdAttributionKit support is currently undocumented. Yandex's ownership also warrants a legal review for data-residency requirements.

• Not a fit for: any team running meaningful paid spend through Google or Meta that needs that spend fully attributed.
• Pricing: Free, no paid tier.
• SKAN / AAK: SKAN supported; AdAttributionKit support undocumented.

10. Cometly: best for unified web-to-app-to-CRM attribution

Cometly is not a traditional mobile MMP; it earns a spot here because it answers a real, adjacent question the other nine cannot: what happens to attribution when a user's path runs through a web visit, an app install, and a CRM-recorded sale. Cometly connects ad platforms, a website, and a CRM to track that journey in real time, and its Conversion Sync feature feeds enriched conversion data back to Meta, Google, and other ad platforms.

• Not a fit for: an app-only business with no meaningful web or CRM touchpoint in the customer journey; a dedicated MMP covers that need more precisely.
• Pricing: From approximately $199/month, scaling with ad spend.
• SKAN / AAK: Not applicable; Cometly is not a mobile-specific MMP.

Which mobile attribution platform should you choose?

The right platform depends on which of these situations actually describes your team, more than any single feature comparison:

1. Running paid UA across many networks with no clear budget ceiling: AppsFlyer, for the broadest integration ecosystem.
2. Fraud detection is a real, budget-affecting problem today: Adjust, for its dedicated anti-fraud infrastructure.
3. Growth depends on deep linking and web-to-app journeys: Branch, for deferred deep linking specifically.
4. Running attribution across many channels and want ROI tied to ad spend automatically: Singular, for built-in cost aggregation at a lower per-conversion rate than AppsFlyer.
5. Running campaigns on CTV, consoles, or other connected devices alongside mobile: Kochava.
6. Frustrated by opaque, sales-call-only pricing: Airbridge or Tenjin, both of which publish real rates.
7. A gaming studio or indie developer on a tight budget: Tenjin specifically.
8. Scaling fast across many partner and affiliate channels: Affise MMP.
9. No attribution budget at all, and Android-only or low-stakes iOS spend: AppMetrica, with the accreditation caveat above kept in mind.
10. Attribution needs to span mobile, web, and CRM-recorded revenue: Cometly, which sits outside the traditional MMP category entirely.

Whichever platform fits, verify its SKAdNetwork and AdAttributionKit support directly against your specific ad network mix before signing anything, since adoption of the newer framework is still genuinely uneven across the industry as of 2026.

How to Choose a Mobile Attribution Platform for Your Campaign

Weigh these seven factors, in roughly this order of importance for most teams evaluating a switch or a first purchase.

Data accuracy

Compare the numbers your attribution platform reports against your own ad platform dashboards. A meaningful gap, more than a few percentage points on install counts for the same period, signals a configuration problem or a platform genuinely less accurate than its competitors, and it will distort every optimization decision built on top of it.

Features and integrations

More integrations only help if they connect to channels you actually run. A platform packed with cohort analysis and time-zone-based reporting is wasted if your audience is desktop-heavy and the platform's desktop attribution is an afterthought; check the specific features your media mix needs before comparing feature-count totals.

Report quality

Reports need to tie back to the specific KPIs your app marketing team actually manages against, well beyond a generic dashboard template. A platform that lets you configure which events and cohorts surface in its default view saves real time versus one that requires custom exports for every question.

Attribution speed

Most platforms report attribution within one to seven days. A slower platform can understate real-time install and CPI numbers simply because it has not finished processing the full data set yet, which can lead to premature, wrong conclusions about a campaign's performance mid-flight.

Fraud prevention

Look for both detection (identifying fraudulent installs and clicks after the fact) and prevention (blocking them before they pollute the data set). Click injection, install hijacking, and bot traffic are the three patterns worth asking any vendor to name specifically, a vague "we detect fraud" answer is not sufficient evidence of a real fraud-prevention program.

SKAdNetwork and AdAttributionKit support

Given the uneven AAK rollout described above, ask specifically whether a platform supports both frameworks simultaneously and how it reconciles data when different ad networks report through different ones. A platform still describing its iOS measurement purely in terms of SKAN, with no mention of AdAttributionKit, is behind the current framework transition.

Price

Indie developers and early-stage apps should start with a free tier; most major platforms now offer one. Larger teams with real paid spend should compare per-conversion or MAU-based pricing at their actual expected volume, since per-unit costs on the smaller published tiers rarely reflect what a mid-market or enterprise contract will actually cost.

Do you need a full mobile measurement partner?

Not every app needs a full MMP on day one, and buying one too early is a common, avoidable cost. For example, pre-revenue app testing whether a category has any paid-acquisition potential at all can usually get by on:

• Platform-native reporting (Meta Ads Manager, Google Ads conversion tracking)
• A lightweight deep-linking tool
• Some early creative testing

That’s because the main question at that stage is only ever directional.

A full MMP earns its cost when:

• You are running paid campaigns across more than one network and need deduplicated, cross-channel attribution.
• Fraud turns into a real budget risk.
• Your finance or leadership team needs a single dashboard view instead of several conflicting platform-reported ones.

If your growth strategy already spans mobile app, web, and a CRM pipeline, a traditional mobile-only MMP will not answer your real question either. That is a genuinely different tool, covered in Cometly's entry below.

Mobile attribution models explained: which one fits your campaign

Choosing a platform and choosing an attribution model are two different decisions. The platform is the tool; the model is the rule it uses to decide which touchpoint gets credit for an install or an in-app purchase. Get the model wrong for your channel mix, and even the best MMP will hand you numbers that quietly mislead your budget decisions.

• First-click attribution credits whichever ad or link a user interacted with first, useful for understanding what actually introduced someone to your app, but blind to everything that happened afterward.
• Last-click attribution (sometimes called last-touch attribution) credits the final touchpoint before install, still the industry default for most app developers because it's simple and hard to argue with. Its weakness is exactly its simplicity: a user who saw an influencer marketing post, then clicked a retargeting ad three days later, gets recorded as a retargeting win, even though the influencer post did the real work.
• Linear attribution splits credit evenly across every touchpoint in the journey. It's fairer to upper-funnel channels than last-click, but it treats a passing impression and a deliberate second visit as equally important, which they rarely are.
• Position-based attribution (also called U-shaped attribution) weights the first and last touchpoints most heavily, with everything in between splitting a smaller remainder. It's a reasonable middle ground for mobile app marketers who want to credit both discovery and conversion without fully flattening the journey.
• Time decay attribution gives more credit to touchpoints closer to the conversion, on the logic that a click two days before install mattered more than one from three weeks ago. It fits well for apps with longer consideration windows.
• Account-based attribution shifts the unit of analysis from individual users to entire accounts or households, more common in B2B and subscription apps where a single purchase decision often involves more than one person's device.

None of these models work in isolation from the mechanics underneath them. An attribution SDK embedded in the app is what actually captures user interactions and assigns a campaign ID to each install, and the conversion window you set (typically anywhere from one to thirty days) determines how far back a model is even allowed to look for a qualifying touchpoint.

Universal deep linking matters here too: without it, a user who clicks an ad but doesn't have the app installed yet gets dropped into the App Store generically, losing the context that made accurate attribution possible in the first place.

Model choice also runs straight into the identifier problem covered earlier in this guide.

• Apple's App Tracking Transparency framework and the resulting collapse in opt-in rates mean Apple IDFA is available for a shrinking share of iOS users, pushing platforms toward device fingerprinting and other probabilistic methods as a fallback. These methods are less precise and increasingly scrutinized under privacy regulations in multiple markets.
• Google GAID on Android remains more consistently available for now. Still, treat that as a current state, not a permanent guarantee, given how quickly user privacy rules have moved in the last two years.

Channels vary a lot in how cleanly they attribute under these constraints:

• Apple Search Ads ties directly into Apple's own attribution framework and stays relatively clean.
• Influencer marketing is notoriously hard to attribute deterministically and often needs to be sized with media mix modeling instead of any single-touch model.

Whichever model you pick, judge it by whether it actually improves your decisions, not by how sophisticated it sounds. Tie the output back to customer acquisition costs, return on ad spend, and a proper ROI analysis against lifetime value.

And treat ad fraud as a standing threat to all of this: a model is only as trustworthy as the data feeding it, which is why install validation (checking for click injection, install hijacking, and bot traffic before a conversion ever reaches your attribution model) belongs earlier in the pipeline than the model itself.

Conclusion

The mobile attribution category did not get simpler in the past eighteen months, it got more bifurcated: iOS measurement now runs on two frameworks at once, Android measurement got an unexpected reprieve from a privacy overhaul that never shipped, and pricing transparency has become a real competitive differentiator, when it used to be an industry-wide non-issue.

The platforms that have adapted best are the ones treating SKAN and AdAttributionKit as a live, ongoing transition, and staying upfront about exactly what they do and do not support. Whatever you pick, revisit that choice against the current framework mix at least annually. A platform evaluation done in 2024 was made for a measurement setup that no longer fully exists.

If you would prefer a team that works in mobile measurement daily to handle the setup and ongoing optimization, our mobile app marketing agency works across attribution, creative testing, and paid user acquisition for app-first brands. Book a free strategy call and we will help you get started with personalized advice.

Frequently asked questions

Which mobile attribution platform is the best?

There is no single best platform across every situation. AppsFlyer fits the broadest range of teams thanks to its integration depth, but Adjust wins on fraud prevention, Singular wins on cost aggregation and value, and a gaming-specific indie studio is usually better served by Tenjin's transparent, all-inclusive pricing than by an enterprise-first platform.

What are MMP platforms?

MMP stands for mobile measurement partner, the current industry term for what used to be called a mobile attribution platform. Both phrases describe the same category: third-party tools that connect app installs and in-app events back to the specific marketing channel that drove them, so ad networks cannot simply credit themselves for the same result.

Can you give me an example of mobile attribution?

A user sees a TikTok ad, clicks it, and installs an app three days later, then makes a purchase inside the app a week after that. Mobile attribution is the process of connecting that purchase back to the original TikTok ad and campaign, instead of crediting whichever channel the user happened to interact with last.

Do I still need an MMP if I'm running mostly Android campaigns?

Likely yes, though the urgency has eased slightly. Android's advertising ID kept working largely as before after Google retired Privacy Sandbox in October 2025, but ad networks still each report their own numbers using their own rules, and an MMP remains the only way to get one deduplicated, cross-channel view of what is actually working.