Why do I need it

The problem nobody fully owns: the space between customer data and proven action.

The unmet problem is not “how do we send more email?” Klaviyo already sends email, builds segments and runs flows. The gap is a persistent system that turns all available customer information into auditable, cross-source, automatically refreshed actions, and measures causal revenue lift rather than taking attribution at face value.

Who owns what

Today's stack divides the work across tools and people.

  • Shopify
    Does well

    Records orders, customers, products, refunds and subscriptions.

    Remains unsolved

    Does not decide who should receive a retention action today.

  • Klaviyo
    Does well

    Sends email and SMS, manages segments and flows, tracks engagement.

    Remains unsolved

    Does not become a client-specific cross-source policy engine with an evidence trail.

  • Klaviyo predictive analytics
    Does well

    Provides RFM, predicted CLV, churn risk and next-purchase estimates.

    Remains unsolved

    Gives signals or scores. The business still must decide the full eligibility policy, exclusions, timing and proof standard.

  • CRM / HubSpot
    Does well

    Stores customer history, notes, and sales and support context.

    Remains unsolved

    Unstructured context rarely becomes a reliable, repeatable lifecycle campaign rule.

  • Dashboards
    Does well

    Show performance and customer trends.

    Remains unsolved

    Require someone to notice, interpret, decide and act.

  • Victor AI
    Does well

    Answers questions and can help a team explore or summarize data.

    Remains unsolved

    Waits for a person to ask. Does not operate as a standing, auditable, self-refreshing campaign policy.

  • Retention agency
    Does well

    Can strategize, build campaigns and report results.

    Remains unsolved

    Often relies on manual judgment and standard attribution rather than a reusable decision-and-experiment layer.

The sending mechanism is not the innovation

Klaviyo already supports segment- and list-triggered flows. The innovation is maintaining a more rigorous, source-agnostic definition of who deserves to enter that flow, and determining whether contact actually caused economic value.

Why not just ask an AI assistant?

Victor AI is reactive intelligence. LiftMiner is continuous operational decisioning.

Victor can be valuable. A person can ask who has not reordered recently, what customers say in quiz responses, or for a segment of high-value lapsed buyers, and Victor can summarize, answer, recommend or help formulate an action.

But someone still has to

  • 1Know which question to ask
  • 2Ask it at the right time
  • 3Decide the exact business rules
  • 4Check marketing consent and suppression conditions
  • 5Build or update the segment
  • 6Determine whether people should be excluded due to recent contacts
  • 7Trigger the campaign
  • 8Measure whether the campaign caused purchases that would not otherwise have occurred

LiftMiner turns that whole chain into a persistent system.

  • Trigger

    Victor AI

    Waits for a question

    LiftMiner

    Runs continuously on a schedule

  • Output

    Victor AI

    Gives an answer, analysis or recommendation

    LiftMiner

    Maintains a live, campaign-eligible audience

  • Consistency

    Victor AI

    Depends on prompt quality and user follow-through

    LiftMiner

    Executes a predefined policy consistently

  • Finding opportunities

    Victor AI

    Helps a person investigate

    LiftMiner

    Detects qualifying opportunities automatically

  • Segments

    Victor AI

    Can describe a segment

    LiftMiner

    Records the exact conditions and evidence for every included customer

  • Mode

    Victor AI

    Is conversational and reactive

    LiftMiner

    Is operational, scheduled and policy-driven

  • Measurement

    Victor AI

    May summarize campaign performance

    LiftMiner

    Is designed to run randomized holdouts and calculate incremental lift

  • Audit trail

    Victor AI

    Does not inherently create a durable decision audit trail

    LiftMiner

    Preserves an auditable record of data freshness, conditions, eligibility, exclusions, audience assignment and measured outcome

The concise difference

Victor helps someone find an answer. LiftMiner runs the answer as an ongoing, guarded, measurable business process.

The unmet need in one sentence

LiftMiner solves the gap between having customer data and running a repeatable, explainable, consent-safe retention action that can prove it created incremental revenue.

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