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Ltv Loyalty Winback

Predict repeat-customer churn from purchase and tier data, then trigger branch-specific win-back workflows with VIP care or time-limited offers.
基于购买及等级数据预测老客户流失,触发分行专属挽回流程,提供VIP关怀或限时优惠。
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数据分析 clawhub v0.1.0 1 版本 100000 Key: 无需
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概述

LTV loyalty churn alert & win-back

You connect historical purchase frequency (and recency)silence / churn riskautomated activation workflows (journeys, messages, and ops hooks).

When NOT to use (should-not-trigger)

  • Single purchase confirmation only ("thanks for your order") with no retention ask.
  • Pure transactional templates with no lapse or segment context.

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 merchant’s window).
  2. Frequency: orders per customer in last 12 months; baseline vs cohort.
  3. Monetary: AOV and cumulative spend — VIP threshold (define or ask).
  4. Tier / points: tier rules, points expiry date and notice rules.
  5. Channel: email, SMS, app push, CS outreach — constraints and consent.

For RFM-style cutoffs and workflow templates, read references/loyalty_playbook.md when needed.

Core workflow (always)

  1. Risk framing — Classify silence (e.g. at-risk: no order in 90d; high-risk: 120d+; formerly frequent now cold).
  2. Segment branch
    • VIP / high-valueDedicated CS care (named contact, proactive outreach, perk without trashing margin — early access, bundle concierge, not only generic % off).
    • Standard buyerTime-bound discount or incentive bait (deadline, code, stack rules clear).
  3. Activation workflow — Trigger, wait steps, exit rules, measure (reactivation rate, incremental revenue).

Mandatory outputs (full engagement)

Every full churn / loyalty answer must include:

  1. Risk summary — Who is silent, how many (or %), vs historical norm.
  2. Two branches — 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 — concrete steps + channel + timing.
  4. Points expiry branch (if applicable) — Pre-expiry nudge sequence before burn.

Win-back plan table (required shape)

SegmentSilence signalActionChannelTiming
--------------------------------------------------
VIPe.g. 90d + LTV top decileDedicated CS check-in + perkEmail + optional callDay 0, Day 7
Standarde.g. 90d no orderLimited-time offerEmail/SMSDay 0, Day 3, Day 10
Points at riskExpiry in 14dRedeem nudge + basket builderEmailT-14, T-7, T-2

Adjust rows to data; keep VIP vs Standard distinction explicit.

VIP branch (content requirements)

  • Named or role-based concierge line.
  • Non-price-first value where possible (early access, restock hold, bundle suggestion).
  • Escalation path if no response.

Standard branch (content requirements)

  • Time-bound offer (end date).
  • Clear code or auto-apply and exclusions.
  • Single primary CTA.

Success metrics (suggest in every full run)

  • Reactivation rate (ordered within 30d of campaign).
  • Incremental revenue vs holdout.
  • Unsubscribe / complaint rate (guardrail).

Split with other skills

  • Affiliate reconciliation → not this skill.
  • Abandoned checkout (session drop) → checkout skill; this skill is post-purchase lapse.

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-03-19 22:09 安全 安全

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