Most video ads fail silently. You spend money, get bad results, and have no idea why. HookLens watches your ad frame by frame, transcribes the audio, and delivers a full breakdown — hook score, body retention, CTA clarity, audio pacing, and a line-by-line script rewriter that shows your exact spoken lines with specific rewrites for the weak ones. Upload any video ad and get a downloadable client-ready report in minutes.
I built HookLens because I was editing video ads for clients and brands and kept wondering — is this actually going to perform? I had no way to know until the money was already spent. So I built the tool I wished existed. It analyzes everything: the hook, the script, the CTA, the audio pacing, the captions — and gives you specific fixes, not just scores. Would love to hear what you think, and happy to scan anyone's ad for free if you want to try it on something real.
Really interesting angle — most ad tools show you aggregate stats but HookLens is actually breaking down creative performance at the hook level. Curious how you're handling the data ingestion side: are brands connecting ad accounts via OAuth or are you doing it another way? Trying to understand how the pipeline works at scale.
Love the framing — most ad tools show you what happened (CTR, ROAS), but not where exactly you lost people. The frame-by-frame hook scoring is the most actionable part. Do you have benchmark data by industry/format? For example, what's a "good" 3-second hook score for a DTC product ad vs a SaaS demo? That context would make the scores much more useful when presenting to clients.
The frame-by-frame analysis is what makes this actually useful imo. Most ad analytics just give you aggregate numbers but you're left guessing what specific part lost people. Being able to pinpoint "they dropped off at the 3 second mark because your hook was too slow" is way more actionable than just seeing a low view-through rate.
Alex