A mobile measurement partner (MMP) provides independent attribution for app installs and in-app events across ad networks, plus deep linking, SKAdNetwork management, fraud protection, and data exports. Well-known MMPs include AppsFlyer, Adjust, Branch, Singular, and Kochava, with others such as Tenjin and Airbridge serving specific segments. Choose based on your channels, iOS measurement needs, deep linking, fraud protection, data integration, privacy requirements, and pricing at your volume.
What an MMP does
When you advertise on several networks, each network reports its own results and may claim credit for the same install. An MMP sits in the middle as a neutral party, attributing installs and in-app events to the source that drove them according to consistent rules. This gives you comparable data across channels and prevents double counting.
MMPs also provide deep linking and deferred deep linking, SKAdNetwork and AdAttributionKit conversion value management, fraud detection, cost aggregation, audience segmentation, and raw data exports to warehouses. Some offer incrementality testing and analytics dashboards.
Do you need an MMP yet?
If you do not run paid campaigns, or run only Apple Ads and Google App Campaigns at small scale, you may not need an MMP yet. Store analytics, platform reporting, and campaign links can cover early needs. Our app analytics tools comparison explains how the layers fit together.
An MMP becomes valuable when you spend across several networks, need consistent attribution for budget decisions, want fraud protection, or rely on deep links for campaigns, referrals, and influencers. Many MMPs offer free or low-cost entry plans for small volumes, which lowers the barrier.
How the major MMPs differ
AppsFlyer is widely used, with broad integrations across ad networks and strong tooling for SKAdNetwork, fraud protection, and data products. Adjust, owned by AppLovin, is popular with games and apps and offers attribution, fraud prevention, and analytics features. Branch is known for deep linking and cross-platform linking, with attribution capabilities built around links.
Singular emphasizes cost aggregation and marketing ROI, combining spend data with attribution for unified reporting. Kochava offers attribution and measurement with flexible configuration and connected TV support. Tenjin targets smaller developers and games with simpler, lower-cost measurement. Capabilities evolve quickly, so evaluate current features with demos and trials.
Selection criteria
Start with your channels: confirm that the MMP integrates well with every network you use or plan to use. Evaluate iOS measurement: SKAdNetwork and AdAttributionKit support, conversion value tools, and modeling. Check deep linking quality if links drive referrals, influencers, or web-to-app flows; see our deep linking guide.
Consider fraud protection, data exports and warehouse integrations, dashboards, privacy and compliance features such as consent handling and data residency, support quality, and pricing at your expected volume. Ask for references from apps similar to yours in category and scale.
Implementation and data quality
Implementing an MMP involves adding its SDK, configuring events, setting up network integrations, defining attribution windows, and designing SKAdNetwork schemas. Plan carefully: inconsistent event names or duplicate events undermine optimization and reporting.
Disclose MMP data collection accurately in App Privacy details and the Data safety form. Test attribution with sample campaigns before scaling spend, and compare MMP data with store analytics and network reports to catch discrepancies early.
Using MMP data for decisions
Use MMP data to compare channels by cost per install, cost per valuable event, retention, and return on ad spend. Combine with cohort analysis to see long-term value by source, as explained in cohort analysis for mobile apps.
Remember that attribution is not the same as incrementality. Last-touch attribution can credit channels for installs that would have happened anyway. Use holdout tests and experiments, as described in attribution and organic uplift, to check whether channels create new users.
Switching MMPs
Switching MMPs is possible but takes planning. You need to update SDKs, reconfigure integrations and events, migrate links, and run both systems in parallel for a period to compare data. Historical data may not transfer cleanly, so export what you need before switching.
Switch only for clear reasons, such as missing capabilities, poor support, or significant cost savings. The disruption to reporting and campaign optimization can be meaningful.
Common MMP mistakes
Buying an MMP before running paid campaigns at meaningful scale wastes money and setup time. Another mistake is poor event design, sending dozens of inconsistent events that confuse optimization. Some teams treat MMP attribution as the full truth and never test incrementality.
Others neglect SKAdNetwork configuration, leaving iOS measurement weak, or forget to disclose MMP data collection in privacy labels. Finally, choosing based on price alone can leave gaps in integrations or support.
A worked example: choosing an MMP
A subscription app runs Apple Ads, Meta, and TikTok, and plans to add influencer campaigns. It needs reliable iOS measurement, deep links for creators, and warehouse exports. The team shortlists three MMPs, runs demos, checks integrations with all three networks, and reviews SKAdNetwork tools and deep linking features.
It chooses the MMP with the strongest SKAdNetwork tooling and good deep links, negotiates pricing based on expected volume, and implements it with a tracking plan of 15 events. After a month of parallel testing against store data, it uses the MMP to shift budget toward the network with the best cost per trial.
How to do it, step by step
- Confirm the needAssess paid spend, number of networks, deep linking needs, and fraud risk.
- List requirementsDefine channels, iOS measurement, deep linking, fraud, data export, privacy, and budget needs.
- Shortlist and demoEvaluate several MMPs with demos, trials, and references from similar apps.
- Implement with a tracking planConfigure SDK, events, integrations, attribution windows, and SKAdNetwork schemas carefully.
- Validate and useCompare MMP data with store and network data, then use it for budget decisions alongside incrementality tests.
Before and after examples
Illustrative examples written for a generic app in this category, not client results. Swap in your own product, audience, and data.
Buy an MMP at launch with no paid spend.
Add an MMP when running campaigns across several networks.
Why it works: MMP value grows with paid complexity.
Send 60 events with inconsistent names.
Send 15 core events defined in a tracking plan.
Why it works: Clean events improve optimization and reporting.
Trust last-touch attribution completely.
Use MMP data plus holdout tests for incrementality.
Why it works: Attribution and incrementality answer different questions.
Action plan
- Add an MMP when paid complexity requires it
- Choose by integrations and iOS measurement
- Evaluate deep linking quality
- Design a clean tracking plan
- Disclose MMP data collection
- Test incrementality alongside attribution
Metrics to monitor
- Attributed installs by network
- Cost per valuable event by network
- Retention and ROAS by source
- Fraud rate detected
- Data discrepancy versus store analytics
Record the baseline, release date, audience, markets, and external changes before interpreting movement. Rankings and conversion are useful signals, but a decision is stronger when activation, retention, and business value confirm that the page attracted the right users.
Frequently asked questions
What is a mobile measurement partner?
An independent service that attributes app installs and in-app events to ad sources across networks, with features such as deep linking and fraud protection.
Which MMP is best?
It depends on your channels, iOS needs, deep linking, data integration, and budget. AppsFlyer, Adjust, Branch, Singular, and Kochava each have different strengths.
Do small apps need an MMP?
Not always. If you run little paid acquisition, store analytics and platform reporting may be enough until you spend across several networks.
Can an MMP measure iOS installs after ATT?
Yes, using SKAdNetwork and AdAttributionKit for aggregated attribution, plus consented data where available.
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