If you're running paid campaigns to drive mobile app installs, you need to know which ads are actually converting. Mobile app attribution SDKs sit between your ad platforms and your app, capturing install events, in-app actions, and revenue data so you can trace every conversion back to its source. Without one, you're making budget decisions based on guesswork.
The challenge is that not all SDKs are built the same. Some are purpose-built for mobile-first apps, others extend into web and B2B SaaS workflows, and a few now layer in AI-driven insights on top of raw attribution data. Privacy changes from Apple's ATT framework and Android's Privacy Sandbox have also raised the bar for what accurate attribution actually requires in 2026.
This list covers the top mobile app attribution SDKs available today, ranked by their ability to deliver accurate, actionable data for growth teams. Whether you're tracking installs on iOS and Android, connecting ad spend to downstream revenue, or feeding enriched conversion data back to Meta and Google, there's a solution here for your stack.
1. Cometly
Best for: B2B SaaS teams connecting ad spend to pipeline, revenue, and closed-won deals
Cometly is a marketing attribution and analytics platform built specifically for B2B SaaS companies that need to track the full customer journey from first ad click to closed revenue.
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Where This Tool Shines
Most mobile attribution tools stop at the install or the in-app event. Cometly is built for teams where the real conversion happens further downstream: a trial signup, a qualified lead in HubSpot, or a closed-won deal in Salesforce. It connects ad spend across all major paid channels to CRM pipeline stages and revenue, giving growth teams a single source of truth that goes well beyond install-level data.
The server-side tracking architecture and Conversion API integrations with Meta and Google are particularly valuable in a post-ATT world. By sending enriched, first-party conversion signals directly from the server, Cometly helps ad platforms optimize more effectively without depending on unreliable device-level identifiers. The AI ads manager then layers recommendations on top of that data, surfacing which campaigns to scale and which to cut.
Key Features
Multi-Touch Attribution: Tracks every paid touchpoint across major channels and assigns credit based on configurable attribution models.
Server-Side Tracking and CAPI: Sends conversion events directly from your server to Meta and Google, reducing signal loss from browser restrictions and iOS privacy changes.
AI Ads Manager: Analyzes campaign performance across channels and surfaces actionable recommendations for scaling high-performing ads.
Pipeline and Revenue Attribution: Connects ad clicks to CRM stages and closed-won revenue, so you can calculate true ROI rather than cost-per-install.
Customer Journey Analytics: Provides full touchpoint visibility from first click to conversion, with timeline views for each customer.
70+ Native Integrations: Connects with Stripe, HubSpot, Salesforce, and all major ad platforms without requiring custom engineering work.
Best For
Cometly is the right fit for B2B SaaS marketing teams and growth leaders who need attribution that extends beyond the app install into trial signups, pipeline stages, and revenue. It's especially valuable for teams running paid acquisition across multiple channels who want AI-driven recommendations alongside their attribution data.
Pricing
Custom pricing based on data volume and features. Contact Cometly directly or book a demo to get a quote tailored to your team's needs.
2. AppsFlyer
Best for: Mobile-first apps needing enterprise-grade attribution with broad ad network coverage
AppsFlyer is one of the most widely adopted mobile measurement partners globally, offering install attribution, in-app event tracking, and fraud protection at scale.
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Where This Tool Shines
AppsFlyer's biggest strength is its network breadth. With over 2,000 integrated ad network and analytics partners, it's rare to find a media source that isn't supported. That coverage makes it the default choice for large mobile teams running campaigns across dozens of networks simultaneously.
Its Privacy Cloud architecture also addresses the post-ATT measurement challenge directly. By enabling aggregated, privacy-safe measurement without relying on device identifiers, AppsFlyer gives teams a path to accurate data even as platform-level restrictions continue to tighten.
Key Features
Deterministic and Probabilistic Attribution: Combines device-level matching with probabilistic fallback for iOS environments where identifiers aren't available.
Protect360: A dedicated fraud protection suite that filters invalid traffic and click injection before it distorts your attribution data.
SKAdNetwork and Privacy Sandbox Support: Manages postbacks and conversion value schemas for both Apple and Google's privacy frameworks.
OneLink Deep Linking: Creates smart links that route users to the right in-app destination regardless of device or install state.
Privacy Cloud: Enables aggregated measurement and data clean room functionality for privacy-compliant analytics.
Best For
Large mobile app teams, gaming companies, and enterprises running high-volume paid acquisition across many ad networks. AppsFlyer is particularly strong for teams that need both fraud protection and broad partner integrations in a single platform.
Pricing
Free tier available for early-stage apps. Paid plans scale based on attributed conversions. Enterprise pricing is available for high-volume teams.
3. Adjust
Best for: Mobile teams that want attribution and audience retargeting managed in one platform
Adjust is a mobile attribution and analytics platform that combines install and event tracking with a built-in audience segmentation tool, reducing the need for separate retargeting infrastructure.
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Where This Tool Shines
What separates Adjust from many competitors is its Audience Builder. Rather than just measuring who installed your app, you can create suppression lists and retargeting segments directly within the platform, then push those audiences to ad networks. For teams running both acquisition and retargeting campaigns, this reduces the number of tools in the stack.
The Datascape analytics dashboard also stands out for cross-channel reporting. It consolidates spend, performance, and attribution data into a single view, which makes it easier to compare channel efficiency without exporting data to a separate BI tool.
Key Features
Mobile Attribution: Tracks installs and in-app events with deterministic and probabilistic matching across iOS and Android.
Audience Builder: Creates retargeting and suppression audiences from attribution data and syncs them to major ad networks.
Fraud Prevention: Uses anomaly detection to identify and filter suspicious traffic patterns before they affect your data.
Datascape Dashboard: Centralizes cross-channel reporting with spend, performance, and attribution metrics in one view.
SKAdNetwork Support: Handles postback management and conversion value configuration for iOS privacy-compliant measurement.
Best For
Mobile marketing teams that run both acquisition and retargeting campaigns and want to manage both workflows within a single attribution platform. Adjust is a strong fit for subscription apps, e-commerce apps, and growth teams at mid-market companies.
Pricing
Pricing is based on Monthly Active Users. A free plan is available for early-stage apps with limited MAU volume.
4. Branch
Best for: Teams driving web-to-app conversions through deep linking and cross-channel journeys
Branch is a mobile linking and attribution platform best known for its deep linking technology, which preserves user context when routing people from web ads, email, or SMS into a mobile app.
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Where This Tool Shines
Branch's core differentiator is the quality of its deep linking infrastructure. Deferred deep linking, which retains context like a promo code or product page even when the user needs to install the app first, is technically complex to implement reliably. Branch has built this as a core capability rather than an afterthought, which makes it the go-to choice for teams running email, SMS, and web-to-app campaigns.
The Journey smart banners are also worth noting. They allow you to display contextual app prompts on your mobile website, converting existing web traffic into app users without requiring a dedicated engineering project for each campaign.
Key Features
Universal Deep Linking: Routes users to the correct in-app destination across iOS, Android, and web with consistent behavior.
Deferred Deep Linking: Preserves campaign context through the install process so new users land in the right place after downloading.
Cross-Channel Attribution: Tracks paid, organic, email, and SMS touchpoints in a unified measurement view.
Journey Banners: Displays smart app banners on mobile web pages to convert web visitors into app users.
Privacy-Safe Measurement: Supports aggregated reporting options for privacy-compliant measurement environments.
Best For
Consumer apps and retail brands that drive significant traffic through email, SMS, and web channels and need reliable deep linking to maintain conversion context. Branch is also strong for teams running cross-channel campaigns that span paid and owned media.
Pricing
Free tier available for small apps. Growth and Enterprise plans come with custom pricing based on volume and feature requirements.
5. Singular
Best for: Performance marketers who need attribution and cost aggregation without a separate ETL pipeline
Singular is a marketing analytics platform that combines mobile attribution with cost data aggregation from thousands of ad networks, giving teams a unified ROI view in a single dashboard.
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Where This Tool Shines
The core value proposition for Singular is data unification. Most mobile teams pull attribution data from their MMP and cost data from each ad network separately, then stitch it together in a spreadsheet or BI tool. Singular pulls cost data from over 2,000 ad networks directly, so your ROI calculations are always current without manual data pulls.
The creative analytics capability is another practical differentiator. You can see performance broken down at the ad creative level, which is increasingly important as teams test more creative variations across Meta, TikTok, and other visual platforms.
Key Features
Mobile Attribution: Tracks installs and in-app events with support for SKAdNetwork and probabilistic modeling.
Cost Aggregation: Pulls spend data from 2,000+ ad networks automatically, eliminating manual cost reporting.
ROI Dashboard: Combines spend, installs, and revenue in a single view for true return-on-ad-spend calculation.
Creative Analytics: Breaks down performance by ad creative to identify which visual assets drive the best results.
Open Integration Framework: Supports custom data sources and flexible integrations for teams with non-standard stacks.
Best For
Performance marketing teams managing large ad budgets across many networks who want attribution and cost data unified without building a custom data pipeline. Singular is particularly strong for mobile gaming and subscription app teams focused on ROI efficiency.
Pricing
Custom pricing based on volume and features. A free trial is available to evaluate the platform before committing.
6. Kochava
Best for: Enterprise teams with strict data ownership requirements and multi-platform attribution needs
Kochava is an enterprise mobile measurement platform with a strong focus on data privacy, identity resolution, and flexible deployment options including cloud-hosted and on-premise configurations.
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Where This Tool Shines
Kochava's Unified Audience Platform is its most distinctive capability. Beyond standard attribution, it provides an identity graph that resolves users across devices and environments, enabling more accurate cross-device measurement and audience segmentation. For enterprise teams dealing with complex user journeys across mobile, web, and connected TV, this identity layer adds meaningful depth.
The on-premise deployment option also sets Kochava apart from cloud-only competitors. For organizations with strict data residency or sovereignty requirements, the ability to run attribution infrastructure within their own environment is a significant practical advantage.
Key Features
Deterministic and Probabilistic Attribution: Supports both matching methods across iOS and Android for comprehensive coverage.
Unified Audience Platform: Combines an identity graph with audience segmentation for cross-device measurement and targeting.
Traffic Verifier: Fraud detection system that identifies and blocks invalid traffic before it enters your attribution data.
CTV and OTT Attribution: Extends measurement to connected TV, OTT, and other connected device environments.
Raw Data Access: Provides configurable data ownership and direct access to raw event-level data for custom analysis.
Best For
Enterprise mobile teams, gaming companies, and organizations in industries with strict data governance requirements. Kochava is also a strong choice for teams running campaigns across mobile, CTV, and OTT simultaneously.
Pricing
A free App Analytics tier is available. Enterprise plans come with custom pricing based on volume and deployment requirements.
7. Airbridge
Best for: Teams needing cross-device attribution with incrementality testing built in
Airbridge is a people-based attribution platform that tracks users across mobile, web, and offline touchpoints using both deterministic and probabilistic matching to build a more complete cross-device picture.
Where This Tool Shines
Airbridge takes a people-based approach to attribution rather than a device-based one. By combining deterministic matching where identifiers are available with probabilistic modeling as a fallback, it builds a more complete view of the user journey across devices. This is especially useful for apps where users frequently switch between mobile and desktop before converting.
The built-in incrementality testing capability is a practical differentiator. Rather than relying solely on last-touch or multi-touch attribution models, you can run holdout experiments to measure the true causal lift of your campaigns. This gives marketers a more honest answer to the question of whether a campaign actually drove conversions or just got credit for them.
Key Features
Cross-Device Attribution: Resolves users across mobile, web, and offline touchpoints for a unified journey view.
Probabilistic Modeling: Complements deterministic matching as a fallback in privacy-restricted environments.
Deep Linking: Supports web-to-app and app-to-app routing with deferred deep linking capability.
Incrementality Testing: Measures true campaign lift through holdout experiments rather than relying on attribution model credit alone.
Real-Time Reporting: Customizable dashboard with live metrics across all tracked channels and events.
Best For
Mobile teams that want to move beyond attribution model credit and validate campaign impact through incrementality testing. Airbridge is also a good fit for teams with complex cross-device user journeys that span mobile and web.
Pricing
Free plan available. Paid tiers scale based on tracked events and Monthly Active Users.
8. Rockerbox
Best for: Marketing teams managing complex multi-channel mixes who need deduplicated attribution data
Rockerbox is a multi-touch attribution platform that normalizes marketing data from paid, organic, and offline sources into a single, deduplicated view for teams managing diverse channel portfolios.
Where This Tool Shines
The deduplication capability is Rockerbox's most practical strength. When you're running campaigns across Meta, Google, TikTok, email, and organic channels simultaneously, each platform claims credit for the same conversions. Rockerbox normalizes all of that data into a single view that removes double-counting, giving you a more accurate picture of what each channel actually contributed.
The combination of pixel-based and server-side tracking options also provides flexibility for teams with mixed technical setups. You can start with pixel tracking and layer in server-side events as your engineering team has capacity, rather than needing to commit to a full server-side implementation from day one.
Key Features
Multi-Touch Attribution: Tracks paid, organic, email, and direct channels with configurable attribution models.
Data Normalization: Deduplicates conversions across platforms to eliminate inflated reporting from self-attributing networks.
Server-Side Tracking: Supplements pixel-based tracking with server-side event capture for more complete data collection.
Marketing Mix Modeling: Provides budget planning support through statistical modeling of channel contribution.
Attribution Window Customization: Allows teams to configure and compare different attribution windows and models side by side.
Best For
Growth marketing teams and agencies managing campaigns across many channels who struggle with inflated, inconsistent conversion reporting from platform-native attribution. Rockerbox is a strong fit for direct-to-consumer brands and SaaS teams with diverse paid channel mixes.
Pricing
Custom pricing based on monthly tracked conversions. A demo is required to receive a quote.
9. Amplitude
Best for: Product and growth teams analyzing post-install behavior to connect acquisition to long-term retention
Amplitude is a product analytics platform that, while not a traditional mobile attribution SDK, is frequently paired with attribution tools to analyze what happens after the install and connect acquisition data to retention and revenue outcomes.
Where This Tool Shines
Amplitude answers the question that most attribution tools don't: after users install, what do they actually do? Its funnel, retention, and cohort analysis capabilities let you understand which acquisition cohorts engage most deeply, which features drive long-term retention, and where users drop off in the onboarding flow. When paired with an MMP like AppsFlyer or Adjust, it creates a complete picture from ad click to lifetime value.
The built-in experimentation tool is also a meaningful addition for growth teams. Rather than running A/B tests in a separate platform and then trying to reconcile results with your analytics, Amplitude lets you design, run, and analyze experiments within the same environment where you track behavioral data.
Key Features
Behavioral Analytics: Funnel, retention, and cohort analysis for understanding in-app user behavior at scale.
Session Replay: Qualitative playback of user sessions to complement quantitative behavioral data.
Experiment: Built-in A/B testing that integrates directly with the analytics workflow for faster iteration.
MMP Integrations: Native integrations with AppsFlyer, Adjust, and other attribution platforms to enrich behavioral data with acquisition context.
Predictive Analytics: Identifies users likely to convert, churn, or complete key actions based on behavioral patterns.
Data Warehouse Sync: Bidirectional sync with Snowflake, BigQuery, and Redshift for teams running custom analytics pipelines.
Best For
Product teams, growth managers, and data analysts who want to understand post-install behavior and connect acquisition cohorts to long-term retention and revenue. Amplitude is best used alongside a dedicated attribution tool rather than as a replacement for one.
Pricing
Free Starter plan available. Growth and Enterprise plans come with custom pricing based on Monthly Tracked Users.
Choosing the Right Attribution Tool for Your Stack
The right attribution SDK depends heavily on where your conversions actually happen and what decisions you need the data to support.
If you're a mobile-first app team running high-volume paid acquisition across many ad networks, AppsFlyer and Adjust are the most established choices. Both offer strong fraud protection, SKAdNetwork support, and broad network integrations. Kochava is worth evaluating if data ownership and enterprise deployment flexibility are priorities.
If deep linking and web-to-app conversion are central to your acquisition strategy, Branch is the clear leader. Its deferred deep linking infrastructure is more mature than what most competitors offer as a secondary feature.
For teams that want attribution and cost aggregation in one place without building a custom data pipeline, Singular is a practical choice. Rockerbox serves a similar unification need but with a stronger emphasis on deduplication across complex channel mixes.
If you need post-install behavioral analysis to understand retention and lifetime value, Amplitude complements any MMP in your stack. It's not an attribution tool on its own, but it answers questions that attribution data alone cannot.
For B2B SaaS teams where the meaningful conversion happens well after the install, whether that's a trial activation, a qualified lead, or a closed deal, Cometly is built for exactly that use case. It connects ad spend across channels to pipeline stages and closed-won revenue through server-side tracking and Conversion API integrations, giving growth teams the downstream attribution visibility that mobile-only MMPs don't provide. The AI ads manager adds a layer of actionable recommendations on top of that data, so you're not just measuring performance, you're getting guidance on where to scale.
Ready to connect your ad spend to real revenue outcomes? Get your free demo and see how Cometly captures every touchpoint from first click to closed-won deal.
