Marketing Analytics Automation

Campaign data lived in Meta Ads, Google Ads, and Shopify, each with its own definition of a conversion. Weekly reports were assembled by hand and were out of date by the time they were read.

Spend and revenue side by side, refreshed on a schedule, with definitions that stay the same from week to week.

Automated campaign reporting: scheduled pulls from each platform's API, a normalization step for currencies, time zones, and attribution windows, storage in a database, and reports generated from it.

• Scheduled API pulls from Meta Ads, Google Ads, and Shopify
• Normalization of currencies, time zones, and attribution windows into one model
• A database of daily campaign performance with revenue joined in
• Automated reports and a dashboard for the team

• Meta Ads
• Google Ads
• Shopify
• APIs
• Scheduled Workflows
• Custom Reporting

Reports generate themselves on schedule, and ad spend finally sits next to the revenue it produced.

Normalizing the data was most of the work. Three platforms means three clocks, three currencies, and three opinions about what a conversion is.