Launched this week
HookLens
Hook. Body. CTA. Know exactly where your ad fails.
94 followers
Hook. Body. CTA. Know exactly where your ad fails.
94 followers
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.
HookLens
@hooklens that’s sounds super useful! Looking forward to try
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.
HookLens
@ilya_lee That's a really good point and exactly the feedback I am looking for, thank you! Right now scores are relative to specific platform and ad objective, but industry benchmarks by format would take it to another level. Adding it to the roadmap, thanks for the direction!
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.
HookLens
@avinash_matrixgard Hey, thank you for your question! Right now it's a direct upload model — brands and agencies upload their video ad files directly, no ad account connection needed. It keeps the barrier to entry low and works for anyone regardless of which platform they're running on. OAuth ad account integration is on the roadmap for when we move toward automated pipeline monitoring at scale.
@hooklens That makes sense as a starting point lower friction to get the first paying users in without worrying about OAuth edge cases per platform. The shift to automated pipeline monitoring is going to be the interesting architectural moment though, since each ad platform's OAuth model is different and the token refresh handling gets messy fast at scale. Curious whether you're thinking multi-platform from the start or picking one to nail first?
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.
HookLens
@mihir_kanzariya Yes!! That's exactly the idea, thank you for your feedback!
Useful! Will try it out for our marketing team
HookLens
@abhinavramesh Thank you!! I would genuelny love to hear what your team things — feel free to reach out after you try it!