The SKAdNetwork & Attribution Reconciliation engagement addresses the privacy-centric measurement landscape on iOS. With deterministic IDFA matching largely unavailable, app developers must translate sparse, delayed SKAN postbacks into reliable early proxies for customer lifetime value.
We audit your existing conversion value schema and re-engineer postback mappings to establish mathematical correlations between early app interactions (first 24-72 hours) and long-term cohort profitability.
Key Investigation Vectors
Conversion Value Bit-Depth Mapping:
- Evaluating the allocation of fine conversion values (0 to 63) across revenue buckets and behavioral milestones.
- Ensuring critical monetization events (trial start, paywall interaction, initial SKU purchase) are prioritized within lock windows.
Coarse Value Fallback Configuration:
- Designing low, medium, and high coarse value definitions to maximize postback utility when crowd anonymity thresholds are triggered.
- Auditing postback window 2 (days 3-7) and window 3 (days 8-35) coarse signals.
MMP & Direct Store Ledger Discrepancy Analysis:
- Quantifying the divergence between MMP-attributed installs and raw App Store Connect transaction tallies.
- Isolating organic cannibalization where brand campaigns claim credit for existing app installs.