YouTube comment analysis for ad research

Choose videos by intent, not size

A 2M-view entertainment video gives you jokes. A 80k-view review of your competitor gives you buyers. Prioritize review videos, comparisons ('X vs Y'), roundups ('best X in 2026'), and tutorial content where your product category is the tool. The commenters there have their wallets half-open, and their questions are your objection list.

What to count

Analysis means counting patterns, not collecting impressions. Across a few videos, tally four things:

• Repeated questions: the same 'but does it work with/for X' asked across videos is a top-of-funnel objection your ads should pre-answer.
• Deal-breakers: 'I was going to buy until' comments name the exact friction in your funnel.
• Owner testimony: comments from people who already bought carry the credible phrasing your ad copy should borrow.
• Timestamp reactions: when comments cluster around one moment of a review, that feature or flaw is what the market actually cares about.

Compress the counting to 60 seconds

Adlicio does the tally for you: paste a video URL, the comment thread is scraped in about 60 seconds, and the analysis comes back as ranked angles, recurring objections, desires, and sub-audiences, each backed by the verbatim comments. Scrape three or four videos in your category and the recurring clusters across all of them are your validated angle list.

From there the workflow is direct: the top objection becomes a retargeting ad that answers it, the top desire becomes the cold-traffic hook, and the owner-testimony quotes become your proof lines.