Instagram · 28 Aug 2026
View the original on instagram.comSophie shows how she builds ad avatars with Claude: pull 20 real customer complaints, map them to what your business actually sells, then ge
By @nextbysophie · Instagram
Source: https://www.instagram.com/reel/DcKxhUmKke5/?igsi=MXE1eDgxN3Y0YmlzOA==
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Summary
Sophie shows how she builds ad avatars with Claude: pull 20 real customer complaints, map them to what your business actually sells, then generate five hyper specific fake customers. Each ad then targets one avatar so precisely the viewer feels stalked. It's episode 2 of her AI Ads for Dummies series.
Core ideas
- Demographics are useless: a label like "busy homeowners" tells you nothing. An avatar has to read like one actual individual person.
- Stalking level specificity: the person who sees the ad should think you're stalking them, and the description should be tight enough that someone holding the data could point to that exact person.
- Step one, mine real complaints: she had Claude pull 20 real problems Austin homeowners have with lawn services, sourced from actual reviews, complaints, Reddit posts, and Facebook posts. Zero guessing.
- Step two, map solutions to your offer: Claude matched specific solutions to those problems using a document that lists everything her business does.
- Step three, build five avatars: one generic customer gets replaced by five distinct avatars built from the real problem data.
- One ad, one avatar: every ad speaks to a single avatar. Talk to all five at once and you're talking to none of them.
- Comment bait as distribution: comment "avatar" and she DMs the full workflow with the prompts, a classic lead gen loop for the series.
Quotes
“An avatar isn't a demographic.”
“A real avatar is specific enough the person who sees the ad needs to think that you're stalking them.”
“if you talk to all of them you're not talking to any of them”
“It has to be so specific that if you”
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