Branch

Branch

by Branch • • Marketing Attribution Software

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Branch is mobile attribution and deep linking software for app growth teams, measuring web to app journeys. Every plan is quoted by sales, free trial on Basics.

Branch is mobile attribution and deep linking software for teams that market an app and a website at the same time. It answers two questions that break at the boundary between them: where an install came from, and where a person should land when they tap a link. Branch Metrics has built and run the platform since 2014 and the company is still independent, with no parent. Branch is sold as one platform, and its modules are parts of that platform rather than separate purchases. Performance is the measurement core. It centralizes cost data from self-attributing networks, other ad partners, programmatic buys, connected TV and search, then reports deterministic, first-party attribution against that spend. Data Exports sends SKAdNetwork and non-SKAdNetwork data into a data warehouse, and Advanced Data Feeds pushes event-level records straight to internal systems. LinkHub creates, tags and manages campaign links in one place, Banners convert mobile web visitors into app users, and AIO App Attribution credits installs that begin in AI-driven app discovery. Engagement, Activation, Discovery and the Ivy AI assistant complete the set. Branch suits growth and user acquisition teams at companies whose revenue depends on an app, marketing analysts who have to defend spend across many networks, and product teams that care where every link lands. It fits advertisers reporting iOS campaigns under SKAdNetwork and companies buying media from more than a handful of partners at once. It is bought as one platform on three tiers, Basics, Essentials and Enterprise, each quoted by the Branch sales team rather than published as a figure. In practice Branch sits between the ad networks a team buys from and the systems it reports in. It takes cost and conversion data from those networks, supports Meta Aggregated Event Measurement for view-through attribution, and models channel contribution with media mix modeling built on Meta's Robyn. Downstream its exports feed a data warehouse or an internal pipeline, so analysts can join attribution data to their own revenue tables. The jobs it gets hired for are crediting installs to campaigns, moving web traffic into the app, proving return on ad spend, and tracking lifetime value and retention by source.

Features

  • Included: Multi-touch attribution models
  • Not included: Data-driven attribution
  • Not included: Custom attribution models
  • Included: Ad spend import
  • Not included: CRM revenue matching
  • Not included: Offline conversion sync to ad platforms
  • Not included: Call tracking attribution
  • Not included: Form and live chat tracking
  • Included: Cookieless first-party tracking
  • Not included: Account-level attribution
  • Included: View-through attribution
  • Included: Marketing mix modelling
  • Not included: Incrementality testing
  • Included: Touchpoint path reports
  • Included: Warehouse export of touchpoint data
  • Included: UTM link builder and mapping
  • Not included: E-commerce order import

Additional Features

  • Deep links that survive browser to app store to app
  • Universal Links click tracking
  • Deterministic first-party attribution
  • Cost data from self-attributing ad networks
  • Programmatic and connected TV cost aggregation
  • SKAdNetwork (SKAN) reporting
  • Meta Aggregated Event Measurement view-through attribution
  • Media mix modeling built on Meta's Robyn
  • AIO App Attribution for AI-driven app discovery
  • Lifetime value and retention reporting
  • Fraud reporting
  • Unified Analytics Export to a data warehouse
  • Advanced Data Feeds event-level export
  • Data partner webhooks
  • Ad partner postbacks
  • Custom ad partner configuration
  • LinkHub link creation, tagging and management
  • Web to app banners
  • First-party audience building from Branch data
  • Ivy AI assistant

Best for

  • Growth and user acquisition teams at consumer app companies
  • Marketing teams running a website and an app as one funnel
  • Teams buying across more than three ad networks at once
  • iOS advertisers who have to report under SKAdNetwork
  • Analytics teams that want event-level data in their own warehouse
  • Product and lifecycle teams routing people to in-app destinations
  • Buyers comfortable with a sales-led purchase and no public price

Use cases

  • Attributing app installs to the campaign that paid for them
  • Sending mobile web visitors into the app with a deep link
  • Measuring return on ad spend across several networks
  • Reporting SKAdNetwork results beside other channels
  • Crediting ad impressions that were seen but not clicked
  • Estimating channel contribution with media mix modeling
  • Tracking lifetime value and retention by acquisition source
  • Exporting touchpoint data to a warehouse for BI reporting
  • Pushing event-level records into an internal system
  • Sharing conversion data with ad partners through postbacks
  • Converting mobile web traffic with an app banner
  • Attributing installs that start in AI-driven app discovery
  • Spotting install fraud before the budget is spent
  • Managing campaign links in one place with LinkHub

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