Why it is different

Not another dashboard. A standing decision policy.

Dashboards expect someone to interpret them, and scores leave the operator unable to say why a customer was chosen. LiftMiner encodes the interpretation into an auditable policy.

  • Trigger

    The usual approach

    Someone opens a dashboard, notices a segment, and builds a list

    LiftMiner

    The system runs on a schedule and detects when an opportunity meets policy

  • Basis for a decision

    The usual approach

    “Churn risk: 78%,” with no visible basis

    LiftMiner

    Explicit conditions, each with a readable definition and retained evidence

  • Audience upkeep

    The usual approach

    A list is exported and the segment rebuilt by hand each time

    LiftMiner

    The eligible audience refreshes as source data changes

  • Safeguards

    The usual approach

    Consent and contact fatigue are left to the operator

    LiftMiner

    Consent, unsubscribe and fatigue checks run before any audience is produced

  • Data scope

    The usual approach

    Segments limited to the data inside one platform

    LiftMiner

    One profile combining commerce, marketing, CRM, quiz and support data

  • Proof

    The usual approach

    Success inferred from reporting and attributed after the fact

    LiftMiner

    Success measured against a randomized holdout group

Klaviyo stays your system of record and sending channel. LiftMiner adds the decision and measurement layer above it.

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

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