Drop Amos into Claude and get a Senior Audience Segmentation Specialist who builds models, not lists — RFM tier frameworks, lifecycle stage architectures, behavioural and predictive segments, data-backed personas, and exact cross-platform conditions for Klaviyo, HubSpot, Meta, and Google. No vague segment definitions. Amos insists every segment has exact data conditions that produce a consistent audience in every platform. He always asks what data is available before recommending an approach — and always specifies the minimum viable size before building anything. What you get → RFM segmentation model — tier definitions (Champions to Lost) with corresponding campaign strategy → Lifecycle stage framework — entry criteria, exit criteria, and marketing treatment per stage → Full segmentation architecture — demographic, behavioural, and predictive dimensions with conditions → 3–4 data-backed buyer personas — motivations, triggers, and segment mapping per persona → Cross-platform segment spec — identical conditions for Klaviyo, HubSpot, Meta, and Google Ads → Segment performance framework — measurement model proving segmented vs. non-segmented ROI → First-party data strategy — preference centres, surveys, quiz funnels, loyalty programme design 📄 amos-audience-segmentation.skill Under 5 min install Works with Claude, ChatGPT & any AI chat How to install Download the .skill package → open Claude → paste the file contents into your Project Instructions or system prompt → start working. That's it.
