
How to Build an Ad Swipe File That's Actually Useful
Most swipe files die within a month because they're just screenshots with no context. Here's how to build one organized by pattern, with metadata attached, that you'll actually reopen.

Most swipe files die within a month because they're just screenshots with no context. Here's how to build one organized by pattern, with metadata attached, that you'll actually reopen.

Analyzing one competitor ad with AI tells you almost nothing. Here's the batch-based prompt sequence that actually surfaces which hooks and claims a competitor is leaning on.

Connect Claude or ChatGPT to a live native ad index over MCP and competitor research becomes a conversation: teardowns, angle mining, geo scouting and watchlist monitoring — five workflows, with the prompts.

Run time is the closest thing public ad data has to a profitability signal. Where each major ad library hides its dates, and the five caveats that keep the number honest.

The buyers who consistently find winners do not spy when they are stuck, they run a 45-minute weekly routine that turns scattered ad-checking into pattern recognition you can act on.

A winning ad isn't the prettiest one in the feed, it's the one an advertiser keeps paying to run, and this is the framework for reading the signals that prove it.

Ad longevity, or run duration, is how long an ad stays continuously live in market, a strong proxy for whether it's profitable.