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    Customer Win-Back Engine — Re-Engage Customers Who Drifted

    1

    Plan respectful customer reactivation using lapse definitions, channel eligibility, reason evidence, offer economics and stop rules.

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    Customer Win-Back Engine — Re-Engage Customers Who Drifted

    Customer Win-Back Engine — Re-Engage Customers Who Drifted

    Example session with this skill installed

    Illustrative scenario: Our approved lapse rule is no purchase for 120 days. Customer A last bought 150 days ago and opted out of marketing. Customer B last bought 140 days ago, has current email consent and no suppression, but an unresolved service complaint. Customer C last bought 130 days ago, has consent, no known open issue and relevant products remain available. Pricing, margin and incentives are unknown. Build an eligibility brief and a draft for review only.

    • Read your context and instructions
    • Compiled the customer win-back engine

    Win-back eligibility brief — illustrative supplied facts

    A: lapse threshold met, but marketing opt-out fails eligibility. Suppress marketing win-back; do not bypass the opt-out through another channel.

    B: lapse threshold and supplied email-consent facts present, but unresolved complaint requires coordinated service recovery. Do not send a generic promotional sequence. Confirm complaint ownership and permitted recovery communication separately.

    C: potentially eligible under supplied rule, consent and no-known-issue context. Recheck current consent, suppression, recent purchase/reactivation and relevance immediately before any authorized send. Reason for lapse remains unknown; behavior alone does not establish motive.

    Strategy for C: value reminder or preference choice before incentives. No discount recommendation because margin, offer costs and incremental economics are unknown.

    Review-only message: “If our products are still relevant to you, we’d be glad to help you find what fits your needs now. You can update your preferences or choose not to receive these messages.” Adapt to approved brand wording and actual unsubscribe mechanism; no fabricated urgency or claim that the customer misses the brand.

    Proposed experiment: compare a permitted value-reminder message with an eligible holdout, defining the reactivation event and measuring net contribution and repeat retention, not only clicks. Sample size and expected conversion are unknown.

    Stop rules: opt-out, complaint, suppression, recent reactivation, sequence exhausted or lack of ongoing relevance. Limit attempts; respect a graceful end.

    Execution notes: no consent database accessed, customer contacted, offer issued or campaign launched. Eligibility is conditional on current verification.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Customer Win-Back Engine helps teams identify genuinely lapsed relationships and design sensible paths back to value. It distinguishes purchase lapse, subscription churn, trial lapse, inactivity and normal low-frequency buying rather than assuming every quiet customer has churned.

    The Win-Back Intelligence Stack checks relationship truth, lapse threshold, consent and suppression, reason evidence, current relevance, recovery strategy, economics, message, timing, reactivation and post-return retention. Discounts are not the default; service recovery, education, preference resets and graceful goodbye may be better choices.

    It never invents consent, sentiment, churn reasons, purchases, LTV or propensity. Opt-outs and stop rules govern eligibility, and open critical support issues need coordination. Use supplied authorized evidence to create segments, reviewed drafts and experiment plans. No reactivation, deliverability or revenue guarantee, and no outreach is assumed.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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