Improve the funnel

A standing policy at every stage of the customer funnel.

LiftMiner works on customers already in your data. It finds who is eligible to act at each stage, sends that audience to your existing stack, and proves which campaigns created revenue.

  • STAGE 01

    Signal captured

    A quiz answer, stated goal or CRM note shows what the customer wants. The source text stays attached to the decision.

    • quiz_response = present
    • email_consent = valid
    • active_exclusions = none
  • STAGE 02

    Second order

    Purchase count and tenure find customers who bought once and have not returned, held to the same consent and fatigue rules.

    • completed_orders = 1
    • tenure_days > T
    • days_since_campaign > Y
  • STAGE 03

    Reorder window

    Expected reorder timing comes from actual purchasing patterns. A customer enters the audience the day they pass it.

    • completed_orders >= 2
    • days_past_expected_reorder > 0
    • historical_value >= X
  • STAGE 04

    Higher value

    High-value customers and next-best-product relevance get their own policy, separate from the reorder audience.

    • historical_value >= X
    • product_relevance = match
    • days_since_campaign > Y
  • STAGE 05

    Engagement decline

    Falling engagement is a condition, not a report. Customers who meet the policy enter the audience automatically.

    • engagement = declining
    • email_consent = valid
    • days_since_campaign > Y
  • STAGE 06

    Reactivation

    Lapsed customers who become newly engaged, or meet the reactivation policy, re-enter without a manual rebuild.

    • lapsed = true
    • newly_engaged = true
    • active_exclusions = none

Example policies. Thresholds T, X and Y are set per client.

Why it pays

More profitable because every step is checked.

  • Existing customers, existing data

    The revenue is already in your customer base. Policies find who is eligible to act on it now.

  • Contact that stays inside policy

    Consent, fatigue and exclusion checks run before an audience leaves LiftMiner, so revenue logic never overrides communications policy.

  • Only caused revenue counts

    A randomized holdout separates campaign-caused revenue from normal purchasing, so campaigns that create no lift are visible.

Start with an audit of the revenue you are already leaving behind.