Intelligence Module · Reactivation Scoring

    Not Every Lapsed Customer Is Worth Chasing. Know Which Ones Are.

    LiftSignals scores every lapsed customer by their win-back potential — so you invest your reactivation budget in the customers most likely to return, and stop wasting it on the ones who are gone for good.

    CUSTOMERLAPSEDSCOREKEY SIGNALACTION
    Emma R.47 days91Was Champion · High CLV · Email still opens→ Priority win-back
    James T.63 days84Gold CLV · Seasonal buyer · Peak window near→ Send this week
    Priya K.38 days72Silver CLV · Category browse recent→ Nurture sequence
    Marcus L.94 days61Loyal history · Single lapse event→ Gentle re-engage
    Sarah M.121 days38Discount dependent · Low CLV→ Sale event only
    Daniel W.203 days19Never repeat purchased · Low engagement→ Suppress
    Aisha B.310 days7Single purchase · No engagement history→ Archive

    1,847 lapsed customers scored · Top tier: 312 customers · Projected win-back value: $94,200

    THE PROBLEM

    Blasting your entire lapsed list isn't strategy — it's hope

    Every few months, most e-commerce brands export their lapsed customer list and blast a win-back email to all of them. Sometimes with a discount. Sometimes with a 'we miss you' message. Almost always to everyone equally.

    A customer who was a Champion for two years and lapsed six weeks ago is not the same as one who bought once three years ago. Treating them the same wastes budget on the unwinnable and under-invests in the customers who are genuinely ready to return.

    Untargeted win-back blast

    1,847 customers. Same email. Same offer.
    Reactivated: 4.1%
    Budget wasted on unwinnable: 71%

    Win-back cost per reactivated customer: $214

    Score-prioritized win-back

    312 high-score customers targeted. 1,535 suppressed.
    Reactivated: 28%
    Budget saved on suppression: 83%

    Win-back cost per reactivated customer: $31

    6.9× more efficient

    THE COST

    Chasing unwinnable customers costs you the winnable ones

    $214 per reactivation

    Untargeted win-back campaigns are extraordinarily expensive

    When you blast a win-back campaign to your entire lapsed list, the average cost per successfully reactivated customer climbs to $214 — because most of the list was never coming back. Targeting only high-score customers drops that cost to $31.

    ↓ 18pts sender score

    Win-back blasts damage your sending infrastructure

    Sending reactivation emails to truly dormant addresses generates spam complaints and hard bounces that damage your sender reputation. The unwinnable customers are actively making it harder to reach those who would come back.

    20%

    71% churn again

    Discount-reactivated low-score customers churn again immediately

    Customers reactivated with deep discounts who had a low win-back score have a 71% rate of churning again within 90 days. You spent the budget, gave up the margin, counted the win — and they're gone again before the quarter ends.

    THE SOLUTION

    Rank every lapsed customer by win-back potential

    LiftSignals calculates a Reactivation Score (0–100) for every lapsed customer based on their historical value, recency of lapse, engagement signals, and behavioral patterns. Focus your win-back budget on the top tier and suppress the rest.

    VALUE SIGNAL

    What were they worth before lapsing?

    High CLV = High reactivation baseline

    Former Champions score 40pts higher baseline than one-time buyers

    47d
    RECENCY SIGNAL

    How recently did they lapse?

    0–60 days | 61–120 days | 120+ days

    47 days lapsed → still in recoverable window · 310 days → likely gone

    ENGAGEMENT SIGNAL

    Are they still opening emails?

    Open rate trend — sporadic but alive

    Still opening 1 in 5 emails → engagement signal intact → score boost +15pts

    SznCmpLife
    PATTERN SIGNAL

    Why did they likely lapse?

    SeasonalLife eventCompetitor
    Lapse cause classification

    Seasonal lapse pattern → high win-back probability when season returns

    CLV(High) + Recency(47d) + Engagement(opens) + Pattern(seasonal) = 🟢 Score: 91 · Priority Win-Back

    REACTIVATION INTELLIGENCE

    Every lapsed customer ranked. Every win-back decision made.

    LiftSignals groups lapsed customers into four reactivation tiers — from Priority down to Archive. Each tier has a specific investment level, channel strategy, and expected win-back rate.

    Priority

    Score: 75–100
    0

    Former high-CLV · Recently lapsed · Email active

    Investment: High

    Personalized 3-touch sequence. Meaningful offer. Immediate outreach.

    Avg win-back: 28%

    Standard

    Score: 50–74
    0

    Mid-CLV · Moderate lapse · Some engagement

    Investment: Medium

    2-touch email sequence. Modest incentive if no response after touch 1.

    Avg win-back: 14%

    Low Priority

    Score: 25–49
    0

    Low CLV · Long lapse · Minimal engagement

    Investment: Minimal

    Single email. No discount. Include in sale events only.

    Avg win-back: 4%

    Archive

    Score: 0–24
    0

    One-time buyers · 12+ months lapsed · Zero engagement

    Investment: None

    Suppress from all campaigns. Remove from active list. Protect deliverability.

    Avg win-back: 0.3%

    WIN-BACK BUDGET ALLOCATION BY TIER

    Priority
    60% of budget → 28% win-back → $31 per reactivation
    Standard
    30% of budget → 14% win-back → $67 per reactivation
    Low Priority
    10% of budget → 4% win-back → $124 per reactivation
    Archive
    0% of budget → suppress

    Scoring-based allocation vs. untargeted blast: 6.9× better cost per reactivation

    HOW IT WORKS

    Automatic scoring. Prioritized list. Ready to act.

    Always monitoring

    Flag Every Lapsed Customer

    LiftSignals continuously monitors purchase activity and flags customers the moment they cross the lapse threshold for their historical purchase cycle. No manual exports — every lapse event is captured automatically.

    Updated weekly

    Calculate Win-Back Potential

    Each lapsed customer receives a Reactivation Score based on historical CLV, time since lapse, post-lapse engagement, and behavioral patterns. Scores are recalculated weekly as new signals arrive.

    Tiered output

    Deliver a Ranked Win-Back List

    Your scored and tiered win-back list syncs to Klaviyo, Meta, or your CRM. Priority tier flows into your high-touch sequence automatically. Archive tier is suppressed. You act on the right customers the same day.

    Scores recalculate weekly. A lapsed customer who opens an email after 90 days of silence moves up a tier automatically — catching re-engagement signals before they decay.

    WIN-BACK PLAYBOOKS

    The right reactivation strategy for every tier

    Priority

    Score: 75–100

    Former Champion or Loyal · Lapsed <90 days · Still email-engaged

    The highest-value win-back opportunity in your database — act within 7 days

    What to do

    • Send a personalized email within 7 days of lapse detection — reference their last purchase by name
    • Touch 1: Re-engagement — 'We noticed you haven't visited lately. Here's what's new.' No offer yet.
    • Touch 2 (Day 5): Value reminder — highlight their loyalty history and what they've loved before
    • Touch 3 (Day 10): Offer — a meaningful incentive sized to their CLV tier. Champions get VIP access, not 10% off.
    • If no response after Touch 3: pause for 30 days, then attempt one final re-engagement
    3-touch personalized sequence win-back rate: 28%

    0%

    win-back rate on Priority tier with personalized 3-touch sequence

    0×

    more efficient cost per reactivation vs. untargeted blast campaigns

    $0

    average cost per reactivated customer when targeting Priority tier only

    0%

    of lapsed customers suppressed to protect budget and sender reputation

    GET STARTED

    Find out which lapsed customers are worth winning back

    Connect your store and LiftSignals scores every lapsed customer by win-back potential automatically. Stop blasting your entire lapsed list — start investing in the 17% who will actually come back and stay.

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