A monthly performance report that reconciles with source — not a data dump
A home-furnishings retailer needed a single monthly cross-channel performance report, but the numbers lived in four disconnected places: Google Ads, Meta, GA4, and a Databox board nobody fully trusted. AOS produced a saved report where every headline figure reconciled against its source system and one material finding — conversions down ~13.74% month over month — was flagged rather than buried. The whole run cost $0.19.
01 Ground
Monthly reporting at a multi-channel retailer is deceptively expensive. The data is scattered — Google Ads owns spend and impressions, GA4 owns sessions and on-site conversions, Meta owns social performance, and Databox sits on top trying to aggregate all three. Each tool counts slightly differently, refresh windows lag, and a single connector configured twice can silently double a number that then propagates into a board, a slide, and a decision.
The retailer's existing rhythm was a manual stitch-together: someone exported figures, pasted them into a doc, and trusted that the totals were close enough. The failure mode wasn't a missing report — it was a confident report built on numbers that didn't actually tie back to source. A spend figure that's 15% off, or an impression count pulled from a stale Databox cache, looks exactly as authoritative as a correct one.
What the team needed was not more dashboards. It was one monthly artifact they could forward to a stakeholder without first re-checking it by hand — a report whose every number could be traced to where it came from, and that surfaced the one thing worth acting on instead of drowning it in fifty rows.
- ~4.08M impressions for the month, reconciled against the ad platform Google Ads 2026-06-21 90% confident
- ~5.6M (local currency) total spend, tied back to source Google Ads / Databox 2026-06-21 88% confident
- Conversions down ~13.74% month over month GA4 2026-06-21 87% confident
02 Decide
Rather than emit a tidy table and move on, AOS treated reconciliation as the actual job. Each headline metric was pulled from its system of record, cross-checked where two systems claimed to measure the same thing, and tagged with its provenance so a reader can see not just the number but where it came from.
The substantive editorial move was refusing to present the month as flat. Impressions and spend were healthy and reconciled cleanly, but conversions had fallen ~13.74% versus the prior month. AOS put that delta at the top with a month-over-month comparison table instead of letting it disappear into a wall of green metrics — because the point of a report is the one row that should change someone's behaviour, not the forty-nine that confirm everything is fine.
03 Deploy
AOS pulled live figures across Google Ads, GA4, and the Databox aggregation layer, cross-checked the overlapping metrics, and assembled a single monthly report saved as a document the team could forward as-is. Every headline number carried its source so the artifact is auditable rather than asserted.
The run completed for $0.19 — cheap enough that this stops being a once-a-month manual ritual and becomes something that can simply run on schedule, with a human reading the conclusion instead of rebuilding the spreadsheet.