Analytics is a decision engine, not a dashboard of vanity numbers. It reads your last 30 days of measured content and turns results into concrete next actions (replicate a winner, double down on a riser, pause a decaying format) and feeds those decisions straight back into Discover.
The six tabs
Models is open to every user and breaks results down per creator. The insight tabs are Accounts (connect and watch a scrape), Content (top posts, weak performers, patterns), Competitors, Actions (the AI recommendation inbox), and Trends.
The Actions inbox
Actions is the heart of the loop: once you have content data, it surfaces what to replicate, what to double down on, and what to pause, each as a discrete decision rather than a chart you have to interpret. With no data yet it points you to connect accounts and run Discover.
Feeding Discover
A winning structure identified in Analytics doesn't just sit there: the loop pushes it back into Discover so your next batch is biased toward formats that already worked for you. Results become inputs.
Where the numbers come from
Account and content figures come from connected account scrapes, so they are measured estimates of real performance rather than in app guesses. Connect an account on the Accounts tab to start the scrape.
