What is it
LiftMiner is a customer-revenue decision engine.
It continuously finds customers worth acting on, applies transparent eligibility and safety rules, sends the qualified audience into your existing marketing stack, and proves whether the campaign created revenue that would not have happened anyway.
The simple explanation
Customer data sits in separate systems, waiting for someone to look.
The marketing team may know some high-value opportunities, but only after manually looking for them. The data generally sits until a person opens a dashboard, asks an AI a question, exports a list, or remembers to build a campaign.
- ShopifyKnows what people bought and when.
- KlaviyoKnows emails, SMS, clicks, subscriptions and marketing events.
- A CRMMay hold notes, support interactions, sales history and customer context.
- Quiz funnelsMay contain motivations, goals, objections, preferences and product-fit information.
LiftMiner runs continuously instead
On a schedule, it asks one question of every customer.
“Which customers now meet the exact conditions for a useful, permissible, commercially worthwhile action?”
- Completed purchases
- 2 or more
- Usual reorder interval
- 30 days
- Days past expected reorder
- 10
- Historical revenue
- Over $150
- Email consent
- Still subscribed
- Recent contact
- None
- Exclusionscancellation, refund, other suppression
- None
Customers who meet every condition are eligible today. When any condition stops being true, they leave the audience.
Instead of a report
LiftMiner creates
- The current eligible audienceRecalculated on a schedule as the data changes.
- A record of why each person did or did not qualifyEvery inclusion and exclusion carries its evidence.
- A feed into your existing Klaviyo workflowSending stays in the tools you already run.
In short
The same idea, three ways.
- In one sentenceLiftMiner is an always-on customer-revenue decision engine that identifies eligible retention opportunities, activates the right audience through an existing marketing stack, and proves the incremental lift created.
- In two sentencesLiftMiner turns fragmented customer data into standing, auditable campaign policies that continuously identify who is worth contacting and why. Unlike dashboards, generic AI assistants, or ESP-native scoring, it applies consent and fatigue safeguards and measures the revenue a campaign actually caused using randomized holdouts.
- In practiceYour stack already records customer behavior and can send campaigns. LiftMiner identifies the revenue opportunities nobody is consistently acting on, turns them into safe and explainable audiences, and proves in dollars which actions produced lift.