posthog-pre-cancellation-behavior
Find the shared product-usage warning pattern before churn: pull cancellation dates from Stripe or Chargebee and examine the roughly 30 days of activity before each one, saved as a reusable PostHog insight. Use this whenever someone wants an early-warning churn signal from behavior, asks what churning customers do (or stop doing) before they leave, how usage or activity changes before cancellation, or the usage drop that precedes churn. Triggers on phrasings like 'what do customers do before they cancel', 'pre-cancellation behavior', 'churn warning signs', 'how does usage change before churn', or 'leading indicators of churn'. Boundary: this is behavioral/usage-based churn prediction with no support data. If the question is specifically about SUPPORT TICKETS or Zendesk/Intercom predicting churn, use posthog-support-tickets-churn. It sets up the Stripe/Chargebee source if needed and builds the insight end-to-end.
ソース情報
- リポジトリ
- PostHog/posthog.com
- ソースの最終更新活動
- 2026年10月26日 16:12
- 検出された SKILL.md の言語
- 英語
- スター
- 1,171
- フォーク
- 952
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| name | posthog-pre-cancellation-behavior |
|---|---|
| description | Find the shared product-usage warning pattern before churn: pull cancellation dates from Stripe or Chargebee and examine the roughly 30 days of activity before each one, saved as a reusable PostHog insight. Use this whenever someone wants an early-warning churn signal from behavior, asks what churning customers do (or stop doing) before they leave, how usage or activity changes before cancellation, or the usage drop that precedes churn. Triggers on phrasings like 'what do customers do before they cancel', 'pre-cancellation behavior', 'churn warning signs', 'how does usage change before churn', or 'leading indicators of churn'. Boundary: this is behavioral/usage-based churn prediction with no support data. If the question is specifically about SUPPORT TICKETS or Zendesk/Intercom predicting churn, use posthog-support-tickets-churn. It sets up the Stripe/Chargebee source if needed and builds the insight end-to-end. |