The Process

How it works: turning data into profitable action.

Customer Vineyard's scoring engine uses advanced machine learning to translate thousands of attributes per consumer — drawn from many external and internal datasets — into personalized scores & ROI action segments.

Predictive models identify high-opportunity customers

ML clustering creates intelligent, high ROI action customer segments

Real-time scores enable staff to prioritize potential VIPs on Day One

External data is used safely—preserving privacy while unlocking insight

01

Ingest & Enrich

We start by collecting your internal customer data — purchases, loyalty activity, reservations. Then we greatly enhance each customer profile using external proprietary datasets built from over 200 million U.S. consumers and $22B+ in real-world luxury consumer spending.

02

Score Every Customer

Our AI machine learning models analyze over 1,500+ attributes per person to generate the CV CoreScore™ (predicted future value), a Current Value Score (LTV to date), and an Engagement Score (satisfaction & churn risk). All continuously updated to reflect real-time behavior.

03

Segment & Prioritize

We auto-generate intelligent action segments — like "High Potential But Low Current Value" — so your teams know exactly who to target and how. From loyalty programs to online sales or in-person guests, your marketing spend becomes more focused and delivers better results. Even better, the CV insights platform allows you to create your own ROI action segments and differentiate from the competition.

04

Activate & Measure

Deploy campaigns, elevate service experiences, and track ROI — all from within our easy-to-use platform. No technical lift required. Just smarter decisions, faster growth, and measurable returns.

Data insights to support strategic planning, agile decision making, and grow your bottom line.

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