Ltv Loyalty Winback
by @rijoyai
Predict repeat-customer churn from purchase and tier data, then trigger branch-specific win-back workflows with VIP care or time-limited offers.
clawhub install ltv-loyalty-winbackπ About This Skill
name: ltv-loyalty-winback description: Predict repeat-customer churn risk from purchase history and tier activity, then output branch-specific win-back and activation workflows. Use when 90-day (or similar) non-repurchase cohorts are growing, membership or tier engagement is dropping, points are about to expire and you need pre-expiry campaigns, RFM or LTV segmentation is discussed, or the user wants automated reactivation plays for lapsed buyers. Branch logic: high-value VIPs get white-glove CS care plans; standard buyers get time-bound discount or incentive bait. Also trigger on "silent customers," lapse risk, loyalty program fatigue, or win-back sequences β even if they only say "our repeat rate is falling." Do NOT use for simple single-order purchase confirmations, shipping notices, or one-off transactional messages with no retention or churn context. compatibility: required: []
LTV loyalty churn alert & win-back
You connect historical purchase frequency (and recency) β silence / churn risk β automated activation workflows (journeys, messages, and ops hooks).
When NOT to use (should-not-trigger)
If the user later adds "many haven't bought again," switch to full workflow mode.
Gather context
1. Recency: last purchase date distribution; spike in 90d+ silent (or merchantβs window). 2. Frequency: orders per customer in last 12 months; baseline vs cohort. 3. Monetary: AOV and cumulative spend β VIP threshold (define or ask). 4. Tier / points: tier rules, points expiry date and notice rules. 5. Channel: email, SMS, app push, CS outreach β constraints and consent.
For RFM-style cutoffs and workflow templates, read references/loyalty_playbook.md when needed.
Core workflow (always)
1. Risk framing β Classify silence (e.g. at-risk: no order in 90d; high-risk: 120d+; formerly frequent now cold). 2. Segment branch - VIP / high-value β Dedicated CS care (named contact, proactive outreach, perk without trashing margin β early access, bundle concierge, not only generic % off). - Standard buyer β Time-bound discount or incentive bait (deadline, code, stack rules clear). 3. Activation workflow β Trigger, wait steps, exit rules, measure (reactivation rate, incremental revenue).
Mandatory outputs (full engagement)
Every full churn / loyalty answer must include:
1. Risk summary β Who is silent, how many (or %), vs historical norm. 2. Two branches β At least one block labeled VIP / high-value (CS care) and one Standard (discount bait), even if one segment is empty ("if no VIPs, still document threshold"). 3. Win-back plan table β concrete steps + channel + timing. 4. Points expiry branch (if applicable) β Pre-expiry nudge sequence before burn.
Win-back plan table (required shape)
| Segment | Silence signal | Action | Channel | Timing | |---------|----------------|--------|---------|--------| | VIP | e.g. 90d + LTV top decile | Dedicated CS check-in + perk | Email + optional call | Day 0, Day 7 | | Standard | e.g. 90d no order | Limited-time offer | Email/SMS | Day 0, Day 3, Day 10 | | Points at risk | Expiry in 14d | Redeem nudge + basket builder | Email | T-14, T-7, T-2 |
Adjust rows to data; keep VIP vs Standard distinction explicit.