An AppsFlyer-heavy multi-market app reporting across markets automated its weekly acquisition report end to end.
An illustrative scenario — a composite of the market-reporting workflows Opera is built for, with realistic numbers.
A multi-market app running paid acquisition across eight markets — including the US, Germany, France and the UK — on Meta, Google, TikTok and Snapchat, with AppsFlyer as the MMP. Each market has its own weekly tab: spend, installs, purchases, cost per purchase, stacked in monthly sections. The weekly build took one analyst most of Monday: ~45 minutes per market × 8, plus the reconciliation nobody had time for.
purchase event, deduplicated per user, re-engagement excluded; markets scoped by prefix (US_, UK_, FR_…) and country_code| Before | After | |
|---|---|---|
| Weekly build time | ~6 hours | ~15 min (review of 8 diffs) |
| Reconciliation | quarterly, manual | every run, flagged |
| Wrong-week incidents | ~1 per quarter | 0 (duplicate guard) |
| Time-to-report | Monday 4pm | Monday 7:05am |
The Monday meeting moved from assembling to deciding: which market's CAC moved and why. A TikTok postback break in one market was caught by a variance jump the week it happened — previously a quarter-end discovery. The analyst's recovered day went to market-level creative analysis, which is the work that was always supposed to happen.
The commentary on each market's summary, the budget reallocation calls, and the definitions themselves — reviewed quarterly, changed twice, both times as announced definition changes rather than silent drift.
Three minutes: a plain-language request, a Sheet schema read, an AppsFlyer pull, a previewed append, a Slack summary — then a paused campaign launch.