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lookalike-audience-seedslisted

Select and size the seed customer list behind a lookalike, similar, or value-based audience - which customers to upload, how many, and whether the matched count (not the row count) clears the platform floor - with RFM and value-based selection, a negative-selection pass, a privacy and consent gate before any customer list upload, and a fallback ladder when the floor cannot be cleared. Use whenever the user mentions a lookalike or similar audience, a seed list, a customer list upload, match rate, an audience that is too small, or says their lookalike isn't working - even if they never say 'seed'. Covers B2B and B2C. Do NOT use to design the whole targeting tier structure - use mbfinotti/advertising-skills@ad-audience-targeting instead.
mbfinotti/advertising-skills · ★ 0 · AI & Automation · score 73
Install: claude install-skill mbfinotti/advertising-skills
# Lookalike Seeds Select, size, and validate the seed customer list that a lookalike, similar, or value-based audience will be built from. Three principles govern every step below: - **Match count, not row count** - every uploaded list shrinks by its match rate before it reaches the platform's minimum. A 40% match on 5,000 rows is a 2,000-person seed, and the platform floor applies to that matched number - upload 2-3x the target. - **Homogeneity and value concentration beat size** - Meta's own guidance holds that a seed's homogeneity affects audience effectiveness more than its size. Practitioner consensus (Stackmatix, Grow With Sakib - directional, not audited) is that a few hundred high-value customers outperform thousands of undifferentiated subscribers. - **Inclusion is a suggestion, exclusion is a rule** - on Meta (Advantage+) and Google (Demand Gen, where lookalike reach tiers now function as signals rather than hard segments), the delivery algorithm may override an inclusion audience. Only exclusion/suppression audiences remain hard rules. The seed's job is feeding the algorithm the cleanest signal, not fencing an audience - which raises the quality bar rather than removing it. This skill ends at a specified, validated seed definition plus its export/handoff spec. It never walks through creating or uploading the audience inside any ad platform's interface. Where each adjacent concern lives: - Overall targeting plan (interest, behavioural, lookalike, and retargeti