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Free WINScoring technical study

Your CRM knows what they bought. See what they want next.

A seven-page implementation study on pre-purchase intent scoring: the architecture, trigger properties, flow playbooks, measurement, and rollout model.

Written for the person who will have to implement the system—not the person approving a generic AI pitch.

PDF · 7 pages12-minute readNo sales call required
Inside the study

From behavioral signal to usable action.

01 / ArchitectureWhy the scoring layer exists

See what must sit alongside the lifecycle platform to detect intent movement instead of static profile state.

02 / PropertiesFour practical triggers

Review threshold-crossing, surging, cooling, and fast-track properties that ordinary flows can use.

03 / PlaybooksSix activation patterns

Connect score movement to specific campaign, flow, suppression, and follow-up decisions.

04 / RolloutA six-week implementation path

Understand sequencing, privacy posture, cost considerations, measurement, and the human operating model.

Measured examples

What the scoring data has shown.

These figures reflect specific brand programs and are not a forecast. Outcomes depend on catalog, traffic, audience, offer, and execution.

+42%Historic CLV lift

Deep category scorers versus the baseline customer file for one artisan food producer.

+60%Predicted CLV lift

The same cohort measured on predicted rather than historic lifetime value.

+87%Placed orders

One specialty coffee program after rebuilding activation around observed interest.

+69%Revenue per recipient

The same program and list measured against the brand’s prior approach.

A practical place to start

Find the revenue hiding after checkout.

Get a focused review of your lifecycle program, customer signals, and highest-impact retention opportunities.