Reports that write themselves. Analysts who finally analyse.

Performance marketers are some of the most expensive people on a marketing team. They spend a disproportionate amount of their time pulling numbers from dashboards and formatting them into slides. This case is about giving that time back.

Every Monday, someone pulls last week's paid media data from three platforms, pastes it into a template, calculates the deltas manually, and sends it to the team. It takes two to three hours. The report looks different depending on who made it. Trends are hard to spot because the format keeps changing. And the person doing it is a performance analyst — not a data admin.

A weekly automation pulls data directly from the ad platforms via API, normalises it into a consistent schema, calculates week-on-week and period-over-period changes, and outputs a formatted digest. The digest lands in Slack (or email, or Notion — wherever the team works) before anyone opens their laptop on Monday morning.

The performance team gets Monday back. The report is identical in structure every week, which makes it easy to spot trends. And because the assembly is handled, the analyst can spend their time on the part of the job that actually requires a human: figuring out what to do about the numbers.