Mobile Deep Linking and Attribution Resource Center | Branch

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Artistic interpretation of fake app install fraud

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Fintech apps pay some of the highest CPIs in mobile, making them a prime target for install fraud. This guide breaks down the most common attack vectors and what effective detection looks like.

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Scaling Apple Ads performance means connecting search intent, ASO, and post-install measurement. Here’s how a full-funnel approach drives stronger, more sustainable growth.

Graphic interpretation of IDFA

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Discover how IDFA fits into modern iOS marketing, and learn the privacy-first measurement strategies marketers use to optimize campaigns and drive growth in 2026.

Graphical image of real-time payment fraud prevention

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Real-time payments move money in seconds, but that speed creates new fraud risks. Learn key strategies to detect threats, reduce losses, and protect customers.

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Subscription apps dominate mobile revenue, but most teams lose users before renewal. Learn the metrics, gaps, and tools that drive sustainable growth.

Graphical depiction of how mobile advertising analytics works

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As privacy changes reshape mobile attribution, marketers need analytics that connect ad spend to installs, engagement, retention, and long-term revenue growth

Graphical Image of how device farms can cause ad fraud.

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Learn gow device farms use real smartphones to generate fake clicks and installs, draining fintech ad budgets while distorting attribution data and masking fraudulent acquisition activity.

A graphical depiction of HIPPA Compliant analytics

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Healthcare organizations can balance privacy and performance by building analytics pipelines designed to safeguard PHI while still delivering actionable marketing insights.

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Discover how modern attribution models help app marketers connect user journeys across channels, validate campaign impact, and optimize growth strategies with greater confidence.