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[Pinterest] Improve ad relevance based on user pins

Users who pin specific product categories (e.g., furniture) should receive ads relevant to those categories (e.g., West Elm ads for furniture pins) instead of unrelated ads.

Original Source

@@RomanEcom | 32 pts | 10/10/2025

5 ways Pinterest could 3x revenue (and potentially match AppLovin’s 10x market cap) Context: Moved to new house. Wife uses Pinterest for decor. Pinterest data (last 125 hrs): • 100+ furniture pins • 50+ art pins • Browsed 1000s, engaged w/o pinning Ads seen: • Only Cartier & fitness apps • High-frequency of same ads (90%) • mostly non-intrusive vertical ads • 1 square ad per 2-3 min (like Insta feed) 5 clear fixed for Pinterest (ads & users): 1. Serve relevant ads (e.g., West Elm ads because my wife has 10+ pins from them) 2. 20x the frequency of the square ad format. CTR will 4x which will feed your targeting algo or allow you to build an Axon 3. Clone Meta DPA (price strikethrough, offer highlights) 4. Place DPA under similar pin suggestions or highlighted pins (like Google Shopping, call it PinMax) 5. Push notifications for price drops (I.e I’d use this as BFCM shopping notification system) This is a rare win-win-win: Advertisers earn, users find relevant items, Pinterest profits.

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