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“We don't understand why winning ads win — and our human criteria is not very good, but actually the LLMs they're not very good either. It's more like: mass-produce and see what sticks.”
AI for creative analysis is still primitive — we don't know why winning ads win
Despite excitement around AI creative tools, Thomas Petit argues that analysis of why ads work remains the weakest link. Feeding 200 losing and 3 winning creatives to an LLM and asking for patterns yields some output, but those patterns rarely reliably predict the next winner. The honest conclusion is that creative testing is still largely a volume game — produce many variants quickly, identify winners empirically, double down, and keep the exploration pipeline full.
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Thomas Petit
Independent ConsultantManaged nine-digit ad spend across subscription apps; pioneered "signal engineering" concept for optimizing data sent back to ad platforms
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Strategic Data Filtering for Better Ad Performance — Thomas Petit, Independent Consultant· 11:00