A callout image (or opening beat of a video ad) built from a quantified negative-review finding rather than a generic pain point.
Method: mine competitor/category reviews for a specific complaint (e.g., leakage), count how many negative reviews mention it, and use that share (example given: 4+ mentions accounting for almost a quarter of a category's negative reviews) as the number that opens both a static callout image and a Sponsored Brands video — treating the review data itself as the proof point, not just inspiration for one.
Apply: pull this from Negative Review Topic Mining for Product Development / Data Dive Review Mining (AI Product Brief) / Product Opportunity Explorer Review Mining (Niche-Wide Complaint Trends) output, then reuse the same top-complaint number across both a Multi-Use Call-Out Image and a Sponsored Brands Video Ads (Pain-Point-Driven, Low-Budget) opening.