Across multiple sites, problems like 'GMV up, profit down' are invisible to humans reading spreadsheets — and by the month-end review it's already too late.
One report each day merging three dimensions — profit × ads × creator outreach — across all sites: red-yellow-green graded diagnosis, callouts down to the site and the creative, and a dedicated 'stop-loss recommendations pending human authorization' section. Management goes from reading numbers to making calls.
Connects to the data center's read-only tools; produces the daily report framework, weekly reports, and month-over-month attribution.
Spend, returns, anomalous-creative alerts, drill-down to individual creatives.
The daily report must be decision-ready. Rules:
@analytics pulls the day's profit, ads, and outreach data per site from the data center.
Three dimensions merged, each site graded: a site that flipped from profit to loss with ad spend spiking in a single day gets flagged red.
@ads drills red sites down to creative level: which ones are burning money, and the suggested action.
The report ends with a dedicated 'pending human authorization' list.
The lead approves right in the channel: 'kill these ones.'
Fixed framework, produced in minutes.
Whole-portfolio performance plus loss-making store alerts.
Products declining month over month get broken down to which market and which content gap.
Once the raw creator-video library is wired in, do frame-by-frame teardowns of breakout videos — hook, structure, why it took off — into reusable script templates.
Combine the user-review library to line sales anomalies up against user concerns (certifications, age-fit, side effects).
Auto-generate a follow-up task for every red item in the report and put it on the task board.