The global mobile analytics market size is substantial, with Persistence Market Research predicting it’ll reach a value of $7.8 billion in 2026.

By 2033, if the market continues at a CAGR of 15.6%, it is expected to reach a value of $21.5 billion. And that’s not necessarily impossible, given the historical CAGR between 2020 and 2025, which stands at 17.8%.

The expansion is massive and predominantly driven by the mobile-first approach to eCommerce and browsing that’s clearly developing, with 75% of adults using smartphones for shopping and mobile devices generating over 60% of total website traffic (SellersCommerce).

From how we bank, shop, consume, and receive consumer content, it’s all with a mobile-first approach, and businesses are rapidly integrating advanced analytics into their paid, earned, and owned media channels to understand consumer behavior and optimize engagement. 

Undeniably, they would be able to do it without the mobile marketing analytics platforms, or MMPs, driving smarter user experiences, and we’re going to discuss some of the best.

AppsFlyer (Measurement and Engagement Suite)

AppsFlyer is a market-leading MMP and has strategically positioned itself as a modern marketing cloud that currently dominates around 65% of the market share.

They have a comprehensive attribution and analytics suite full of every tool imaginable to help drive smarter user experiences. Its core features include:

• Real-time mobile attribution (multi-touch, SKAdNetwork)
• Built-in cohort and retention analytics
• Lifetime value (LTV) reports
• Audience segmentation (A/B split testing)
• Link management and deep‑linking (OneLink banners, QR codes, etc.) under its Engagement suite

AppsFlyer supports in-app event tracking and can seamlessly unify measurement across mobile apps, web, CTV, PC, and beyond.

They also boast integrations with over 11,000 tech and media partners (ad networks, DSPs, and SRNs), with all information displayed in custom dashboards. You can find out more on their website – Appsflyer.com.

It’s an excellent choice if you want to understand how to target your paid ad campaigns towards driving smarter user experiences.

AppsFlyer easily drives smarter user experiences (UX) by providing deep, privacy-centric analytics and actionable insights that allow marketers to personalize customer journeys, reduce friction in the app, and optimize marketing spend for better engagement. 

Adjust (Mobile Attribution and Analytics)

Adjust is another established MMP with years of experience helping customers with mobile attribution and analytics that refine the customer experience.

They put a specific emphasis on privacy and fraud protection, which doesn’t necessarily stand out, because so do AppsFlyer and the rest of the MMPs we’ll discuss, but it’s definitely a focal point for Adjust, with fraud protection (Protect360) being a core feature.

Its core Measure product covers mobile and web attribution, including SKAdNetwork for iOS, and basic analytics.

We also like that Adjust’s Analyze suite (Datascape) includes custom dashboards and visualizations to help brands understand their impact, with cohort analysis and retention clearly supported.

If you look at their website, you’ll also see an Audience Builder for creating segments, A/B tests, and retargeting experiments. Fraud protection (Protect360) is a core feature.

Like AppsFlyer, you also get Deep Linking (TrueLink) and supported web tracking, and over 250 integrated ad partners.

Overall, for a smarter user experience, it combines precise, omnichannel attribution with automated campaign management across mobile, web, CTV, and social commerce to allow marketers to understand the full user journey and deliver targeted, high-value experiences.

Branch (Deep Linking and Attribution Platform)

Branch is more of a deep-linking and mobile attribution platform that promotes itself as a growth engine. Its strength is more centered around being a cross-platform, link-centric attribution and seamless user experience. Core features include:

• Unified attribution across app, web, and CTV
• Deep linking and deferred linking (web-to-app banners and funnel analysis)
• Fraud detection
• Solid marketing and engagement tools
• Broad ecosystem integration (11,000 tech and media partners)

Branch’s dashboards clearly show which campaigns and touchpoints drive conversions, aiming to provide “one source of truth” across channels.

Cohort analytics and retention reports are available in its Performance product, and they also offer predictive LTV and SKAN modeling in higher tiers.

And although its partner marketplace is smaller than AppsFlyer’s, key media sources, such as Facebook, Google Ads, etc., are still covered. They value unbiased metrics, easy link management (OneLink custom links and QR codes), and funnel visualization.

Branch definitely drives the user experience by combining deep linking technology with analytics to create seamless, personalized, and context-aware user journeys across platforms.

Singular (Attribution and ROI Analytics Platform)

Singular is an analytics-focused MMP with an emphasis on unified data and return-on-investment insights. Its platform covers:

• Mobile attribution (iOS/Android)
• SKAN mapping
• Campaign analytics

One area it definitely excels in is cost aggregation and reporting across channels. Key features include:

• Custom dashboards
• Cohort & LTV analysis
• Funnel and creative analytics
• Advanced SKAdNetwork and privacy tools (for example, SKAN cohort prediction)

Singular markets itself as an all-in-one solution, combining attribution with BI/ETL capabilities, and they have a strong ETL/integration focus.

Currently connecting to over 40 data warehouses and BI tools, including BigQuery, Snowflake, and Redshift, and over 20 ad network cost APIs, including Facebook and Google Ads, Singular isn’t lacking platform support. 

What Singular lacks, however, are fewer cross-platform plugins than AppsFlyer/Branch and no dedicated web analytics SDK, with web attribution being really limited.

That said, they do drive smarter user experiences by combining deep, user-level, and cross-channel data with actionable, privacy-centric, and automated technology.