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MMP (Mobile Measurement Partner): What It Does and Why You Need One

An MMP (Mobile Measurement Partner) is a third-party attribution platform that tracks where app installs come from and what users do after installing. Learn what MMPs do, how they differ from ad platform attribution, and which one to choose.

Jay Ma
6 min read
MMP definition: mobile measurement partner for app attribution
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An MMP (Mobile Measurement Partner) is a third-party platform that tracks where your app installs come from and what users do after installing. It sits between your app and all your ad networks, providing a single neutral view of mobile attribution across channels rather than relying on each ad platform to measure its own performance.

The four major MMPs are AppsFlyer, Adjust, Branch, and Singular. They all do roughly the same core job — install attribution and post-install event tracking — but differ in pricing models, SKAdNetwork handling, deep linking capabilities, and fraud protection quality.

Why You Need a Neutral Third Party

Every major ad platform (Meta, Google, TikTok, Snap) has its own attribution system. The problem is that each platform's attribution is biased toward giving itself credit.

If a user sees a Facebook ad and a Google ad before installing your app, both platforms will attribute the install. Facebook claims it because the user interacted with their ad. Google claims it because the user also interacted with theirs. Without a third-party referee, you're double-counting installs and double-counting campaign ROAS.

An MMP provides a single source of truth by applying a consistent attribution model across all channels. When both Facebook and Google claim credit for the same install, the MMP awards it to one based on the attribution logic you configure (typically last-click within a defined window). Total attributed installs from the MMP = total real installs, not the inflated sum of each platform's claim.

This matters enormously for budget decisions. Without an MMP, you'll see 2-3x the actual installs in your combined platform reporting, making every channel look more efficient than it is.

What an MMP Actually Measures

Install attribution: Which campaign, ad set, creative, and network drove each install. This is the core function. When a user installs your app, the MMP SDK fires attribution data back to the platform, matching the install to a specific click ID or device fingerprint.

Post-install events: What users do after installing — registrations, purchases, subscription starts, level completions, whatever events you define. These are sent to the MMP, which associates them with the original attribution source. This is how you calculate LTV by channel: the MMP knows both where the user came from and what they bought.

Cohort reporting: Grouping users by install date or campaign, then tracking their behavior over time. A cohort report shows whether users from Campaign A have better 30-day retention than users from Campaign B, which tells you whether Campaign A is finding higher-quality users even if CPI is similar.

Fraud protection: Identifying and filtering invalid installs from click injection, click flooding, and SDK spoofing. Different MMPs have different fraud detection sophistication, and the quality gap between best-in-class (AppsFlyer Protect360, Adjust Fraud Prevention Suite) and minimum viable protection is meaningful.

SKAdNetwork management: Processing and modeling Apple's privacy-preserving attribution data from iOS users who haven't opted in to tracking. MMP SKAdNetwork handling includes converting SKAN's raw conversion values into meaningful metrics and modeling install and event volumes for opted-out users.

The Four Major MMPs Compared

AppsFlyer is the largest MMP by market share, used by most major gaming companies including Playco and Heroes of Mavia. Strong fraud protection (Protect360), extensive network integrations, and the most mature SKAN handling. Pricing is install-based, which can get expensive at scale. The predictive analytics product (ROI360) gives LTV predictions early in a user's lifecycle.

Adjust is the most common alternative to AppsFlyer among subscription apps and European companies. Subscription pricing makes costs predictable regardless of install volume spikes. Deep linking is a separate add-on. Their fraud prevention suite is solid but less comprehensive than AppsFlyer's Protect360 at the fraud-sophistication end of the spectrum.

Branch specializes in deep linking and deferred deep linking — sending users to a specific screen within the app after install, rather than just the home screen. If your growth strategy relies heavily on deep linking (referral programs, QR codes, email click-through), Branch has the strongest tooling. Attribution is solid but secondary to deep linking in their product priority.

Singular is strong on data infrastructure and reporting flexibility. Built for teams that want raw data access and build their own BI layers on top. Competitive on pricing for higher install volumes. Less mature fraud protection than AppsFlyer.

Choosing an MMP

For most growth-stage apps, the choice comes down to AppsFlyer versus Adjust. AppsFlyer if gaming or high fraud risk is a concern (stronger Protect360 coverage). Adjust if you want subscription pricing for budget predictability. Both integrate with all major ad networks and provide solid SKAN management.

Switch MMPs carefully. Every MMP migration breaks historical cohort comparisons and creates attribution gaps during the transition. The cost of switching is high enough that getting the first choice right matters.

X-Ray connects to your MMP to pull attributed install and event data, then layers on behavioral analytics from the app itself, giving you a combined view of channel performance and user quality in one place rather than stitching together reports from the MMP, the ad platforms, and your internal analytics separately.

When to Consider Switching MMPs

Switching MMPs is expensive. Every migration creates attribution gaps during the transition, breaks historical cohort comparisons, and requires re-integrating the SDK across all apps and platforms. That cost is sometimes worth it.

Fraud protection quality. If your current MMP is crediting installs that show no post-install activity, sudden volume spikes from unknown publishers, or suspiciously high click-to-install rates, a provider with stronger fraud detection is worth the migration cost. The difference in fraud filtered between AppsFlyer's Protect360 and a minimum-viable MMP can represent 10 to 20% of reported install volume.

SKAdNetwork management. SKAN 4.0 handling varies significantly across providers. If you run substantial iOS spend and your current MMP's SKAN modeling produces install estimates that do not correlate with actual business outcomes, a provider with better SKAN infrastructure improves the quality of every optimization decision you make on iOS.

Pricing model mismatch. AppsFlyer's install-based pricing becomes expensive when install volume is high and variable. Adjust's subscription model is more predictable. If you are hitting volume tiers that significantly raise your MMP bill but not seeing proportional improvement in fraud protection or measurement quality, the pricing model may justify a switch.

Reasons that do not justify switching: dissatisfaction with the dashboard UI, a competitor offering better reporting visualizations, or using a new MMP as a negotiation tactic. None of these outweigh the measurement disruption of a full migration.

Before committing to a switch, run a parallel attribution test. Install both SDKs and compare attribution outputs for 30 to 60 days. The difference tells you how much real measurement improvement you are getting before you finalize the decision.

Frequently asked questions

  • What is an MMP?

    An MMP (Mobile Measurement Partner) is a third-party attribution platform that measures where app installs and in-app events come from. Unlike ad platform attribution (which is first-party and biased toward that platform), MMPs provide neutral, cross-channel attribution. AppsFlyer, Adjust, Branch, and Singular are the major MMPs.

  • Do I need an MMP if I'm only running ads on one platform?

    Not necessarily. If all your paid acquisition runs through a single platform (say, Meta only), that platform's own attribution may be sufficient for optimization. But once you add a second channel, you need an MMP to prevent double-counting. Meta and Google will both claim credit for the same install if you don't have a neutral third party to adjudicate.

  • How much does an MMP cost?

    Pricing varies significantly. AppsFlyer charges based on attributed installs, typically in the range of $0.05-0.15 per install for most tiers, with volume discounts. Adjust uses a subscription model with annual pricing based on install volume. Branch is often more expensive upfront but includes deep linking. Most MMPs have free tiers for very low volumes and offer trials. Budget $1,000-5,000/month for most growth-stage apps.

  • What is deferred deep linking and why does it matter?

    Deferred deep linking sends a user to a specific screen within an app after install, even if they did not have the app when they clicked the link. A user who clicks an ad for a specific product page is taken directly to that page after installing rather than the home screen. This dramatically improves install-to-engagement CVR because users land in the context they were promised.

  • Can an MMP prevent attribution fraud?

    MMPs detect and filter several types of attribution fraud: click injection (apps firing fake clicks milliseconds before legitimate installs), click flooding (bots generating millions of fake clicks), and SDK spoofing (faking MMP SDK signals). Effectiveness varies by provider. AppsFlyer's Protect360 and Adjust's Fraud Prevention Suite are the strongest commercial solutions. No fraud protection eliminates all invalid traffic, but a quality MMP reduces it substantially.

  • What is cohort analysis in an MMP context?

    Cohort analysis groups users by install date or campaign source, then tracks their behavior over time. An MMP cohort report shows how users from Campaign A behave at Day 7, Day 30, and Day 90 versus users from Campaign B, revealing whether a campaign is finding high-quality users who retain and monetize or users who install and churn. LTV modeling is built on MMP cohort data.

Jay Ma

Co-founder

Co-founder of Hellyeah. Writes about building durable growth loops that compound over time.

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