Precision Mobile Attribution & Marketing Analytics with AppsFlyer

AppsFlyer provides granular visibility into your complete user acquisition funnel, allowing you to identify which channels, campaigns, and ad creatives drive the most valuable users, not just the most installs. This precision enables more effective budget allocation, with our clients typically seeing 40-70% improvements in marketing ROI. Additionally, AppsFlyer's fraud prevention capabilities typically save 15-30% of marketing budgets by identifying and eliminating fraudulent installs that would otherwise drain your resources without delivering value.

Our implementation approach addresses the technical complexities of mobile attribution through meticulous SDK integration, proper event mapping, and comprehensive testing. We handle the technical details of configuring postbacks with advertising partners, setting up server-to-server integrations, implementing deep linking functionality, and ensuring accurate conversion tracking. Our QA process includes validation of the entire attribution flow across different devices, networks, and user scenarios to ensure complete data accuracy.

We implement AppsFlyer as a central hub for your mobile marketing data, connecting it with your ad platforms, analytics tools, CRM systems, and engagement platforms. Our integration approach includes configuring AppsFlyer's pre-built integrations with major platforms; establishing custom API connections where needed; implementing Data Locker for raw data export to your data warehouse; and ensuring proper data flow between systems. This creates a unified view of your mobile user journey across your entire tech stack.

We implement a comprehensive user value measurement framework in AppsFlyer that goes beyond basic attribution. This includes configuring revenue events for accurate LTV tracking, setting up cohort analysis for retention patterns, implementing custom dimensions for user segmentation, and creating dashboards that visualize user quality metrics by acquisition source. We also establish attribution models that account for the full user journey, including view-through attribution and multi-touch insights to properly credit all touchpoints.