Proof

The numbers do the talking.

Real outcomes from manufacturers, distributors, and PE-backed companies who stopped guessing and started knowing.

Marketing reallocation case study

PE Portfolio Company

$8.5M

Marketing spend reallocated

Identified which customer segments were actually responding to marketing—and which were a waste of budget. Reallocated spend to high-equity acquisition. Book a call to hear more.

Due diligence case study

Due Diligence

$6M

Net customer value growth confirmed

PE investor needed to validate customer quality before acquisition. We calculated pCLV across the base and confirmed the business had real, durable value—not just revenue. Book a call to hear more.

DTC inventory case study

DTC / Outdoor Products

$2M

Weak inventory safely cut

CFO wanted to reduce SKU complexity without losing good customers. We mapped product purchases to customer value—identified what to cut and what to protect. Book a call to hear more.

Health DTC retention case study

DTC / Health

$1M

Retention strategy overhaul

Retention programs were treating all customers the same. We segmented by predicted value and focused rescue efforts on the customers actually worth saving. Book a call to hear more.

Manufacturer retention case study

Manufacturer

10%

Must-keep accounts identified

CCO needed to know which accounts were non-negotiable. We mapped gross margins by customer equity and surfaced the critical 10% driving long-term value. Book a call to hear more.

Distribution sales focus case study

B2B Distribution

3x

Sales focus sharpened

Sales was spread thin across hundreds of accounts. We ranked by growth potential so reps could focus on the customers most likely to expand—not just the loudest. Book a call to hear more.

Same data. Different lens. Real dollars.

Every company above had years of transaction data sitting in their systems. They weren't missing information—they were missing visibility. Customer equity surfaces what's already there and turns it into action.

What would you find?

Your data probably has a story like these waiting to be told. Let's see what it says.