Your customers are signaling what they want next.
WINScoring turns onsite behavior, product interest, transaction history, and customer value into practical priorities for lifecycle marketing.
Capture category interest, browsing depth, visit patterns, geography, and the actions surrounding conversion.
Combine behavioral signals with recency, frequency, monetary value, and customer context.
Use scores to prioritize lifecycle messages, paid-media audiences, sales outreach, and suppression.
Feed customer action back into the model so prioritization becomes more useful over time.
Customer intelligence built for activation.
WINScoring is not another dashboard to monitor. It is a decision layer designed to help teams choose who to reach, what to say, where to activate, and when to hold back.
Product-interest scoring
Identify the categories, collections, and products drawing meaningful attention before a purchase occurs.
RFM and customer value
Blend behavioral intent with recency, frequency, monetary value, order history, and lifecycle stage.
Lifecycle prioritization
Build practical audiences for email and SMS campaigns, automations, suppression, and next-best-action planning.
Paid-media activation
Route useful non-converting audiences into paid-media programs without treating every site visitor the same.
High-value outreach
Surface customers and prospects whose combination of value, location, and behavior warrants personal attention.
Custom signal integration
Connect inventory, weather, category, transaction, or company-specific signals when they materially improve a decision.
See how intent scoring works underneath the interface.
Read the architecture, trigger properties, activation playbooks, measured examples, and six-week rollout model.
Built around decisions, not data theater.
- 01Define
Choose the commercial questions and customer decisions the scoring system should support.
- 02Connect
Map the behavioral, transaction, product, and contextual signals available to answer them.
- 03Activate
Deliver usable audiences and priorities into lifecycle, paid-media, or sales workflows.
- 04Refine
Use response and conversion evidence to improve weighting, thresholds, and activation rules.
What teams ask about WINScoring.
What data can WINScoring use?
Common inputs include onsite behavior, product and category interest, location, recency, frequency, monetary value, order history, engagement, and selected external or company-specific signals.
Where can scores be activated?
Scores can support email and SMS segmentation, lifecycle automations, suppression, paid-media audiences, sales prioritization, and other workflows supported by the client’s environment.
Is WINScoring a replacement for our lifecycle platform?
No. It is an intelligence and prioritization layer that makes platforms such as Klaviyo, Braze, Zeta, and connected systems more useful.
Can the model incorporate unique company signals?
Yes. When a proprietary signal materially changes customer intent or the next best action, WIN’s development team can evaluate how to connect and activate it.