Campaign ROI Intelligence for Multi-Location Operators

A franchise operator running a city-wide promotional campaign had spend data in Google Ads and Meta Ads, payment gateway splits in their operational database, and store-level sales data in a data warehouse. The exec team wanted live visibility on coupon redemption by store, campaign ROAS by channel, and underperforming store identification — updated as the campaign ran. What they had was a weekly spreadsheet assembled manually by two analysts, usually ready by Tuesday for the previous week. By the time an underperforming store was identified, the campaign window was nearly closed.

Connected to all three sources. The Knowledge Base was configured with campaign definitions, ROAS calculation rules, store region mappings, and underperformance thresholds. Autonmis built a multi-step pipeline — source ingestion, transformation, mart build, dashboard refresh — governed under a DAG where each step only executed when its upstream dependencies completed successfully. The campaign dashboard updated continuously. When a store's redemption rate dropped 20% below the regional average, a Slack alert fired to the ops lead. The CRO could ask "why did Noida drop last Thursday?" and receive a structured, data-grounded answer without opening a notebook.