Question hooks hold 2x longer on this show.
Across 380 clips. Next episode opens with more of them.
Native analytics, read straight off the phone that posted. The numbers only the account owner sees, for every post and every account.
Public numbers. They tell you what happened.
Public numbers tell you what happened. Native analytics tell you why. Pitas reads them from the app itself, on the phone that posted, for every post on every account.
| WHAT MOST TOOLS SEE | WHAT PITAS READS | |
|---|---|---|
| Views | Public count, scraped or screenshotted | Read off the phone that posted it |
| Retention | Nothing | Full curve, second by second |
| Watch time | Nothing | Average watch time and full views |
| Traffic sources | Nothing | For You, search, profile, following |
| Audience | Nothing | Country, age and gender per post |
| Search terms | Nothing | What people searched to find it |
| Eligibility | You guess from a 0 | Flagged, with the reason |
Every clip is tagged by hook, moment, topic, length and format, then crossed with its native data. Patterns show up that no dashboard of views could ever show you.
Across 380 clips. Next episode opens with more of them.
Agents now look for stories first when they cut.
Same clip, cut two ways for two markets.
Every pattern goes straight into the next cut.
Retention curves, traffic sources, average watch time, audience age, gender and location for every post. Read straight off the phone that posted it.
Follower demographics for every account: where they are, how old they are, when they're most active, what searches bring them in. Every next post gets planned around who's actually watching.
| Account 14 | +12.4K | ↑ spiking | |
| Account 32 | +3.1K | steady | |
| Account 07 | +2.8K | steady | |
| Account 51 | +0.9K | steady |
Every post, every account. Hourly detail from the minute it goes live. If a video spikes a month later, you'll know.
Set an alert and hear the moment something takes off. Or the moment something goes wrong.
Account 14, 34 days after posting. Search traffic up 6x in the last hour.
Reason: low quality. Flagged two minutes after posting.
Every number comes from the app's own analytics, on the phone that posted. No scraping, no screenshots.
No clipper paid per view, no one with a reason to round up. The numbers are what the platform says.
In clipping campaigns, these are the verified views you're billed on. Nothing else.
Full API access to every metric. Connect Pitas to the LLM of your choice with MCP, or pipe the data into your own dashboards.
Native analytics on every post, every account, every market.