Playbook · Reply loop
Archetype matching in practice — running it against your closed-won
The exact ritual to extract reply archetypes from your closed-won data. The 3-step process: cluster, label, score new accounts against the clusters. Mama-specific but the methodology works in any tool with closed-won data + signal labels.
01The play
Summary
The exact ritual to extract reply archetypes from your closed-won data. The 3-step process: cluster, label, score new accounts against the clusters. Mama-specific but the methodology works in any tool with closed-won data + signal labels.
02Expected outcome
Outcome: Archetype-scored accounts predict reply rate ±3 percentage points vs. baseline rubric ±8 points.
Success metric: Archetype-derived predicted reply rate matches actual within 3 percentage points.
03Anti-patterns · do not run this when
- Do not run on <60 closed-won deals — sample size too small
- Do not assume archetypes are stable — they shift quarterly
- Do not skip the human-readable labels — uninterpretable clusters get ignored
Playbook entry · ships as-of {date('M Y')}. Operator-written, no theory inflation. If you've run this play and the numbers don't match yours — or the rhythm needs a tweak — write to [email protected] and we'll revise.
Signal-anchored outbound, no theater
Run this play on every account in your CRM.
Connect a CRM. Mama detects the trigger, scores the fit, and drafts the first message in the rhythm above. Free up to 100 accounts. No card.