personalizationlisted

# Personalization Engine ## Pipeline contract **Stage 13 of 20.** Reads `12-segmented.csv`, `09-signals.csv`. Writes `13-personalized.csv` (adds `angle_source`, `situation_line`, `value_line`, `cta_soft`). - HOW to run it at volume: `references/subagent-pattern.md` — 1 lead, then batches of 10 with approval, then fan-out on Haiku sub-agents. Do not fan out before the human approves a batch. - Angle order: a dated signal from stage 9, then audience evidence (which page they follow, what they commented on), then segment-level bucket copy. Record which one was used in `angle_source`. - No evidence = bucket copy. Never invent a fact about a person or company. - Merge `company_name_clean` and `first_name_clean` from stage 8, never the raw provider names. Stages 14–16 inherit this. Files live in `runs/<run>/`. Column definitions: [`/prospecting-system`](../prospecting-system/SKILL.md). Standalone use: ignore this block. ## When to Use - Building personalization workflows for outbound campaigns - Training SDRs or AI systems on what "good personalization" looks like - Designing variable strategies for email templates - Upgrading campaigns from generic to signal-based personalization ## Framework ### The Personalization Hierarchy Not all personalization is equal. Higher levels convert better but take more effort. Match your level to your volume and deal size. | Level | Type | Example | Effort | Impact | |-------|------|---------|--------|--------| | **5** | Behavioral Signal