The Process
How it Works: Turning Data into Profitable Action
Customer Vineyard’s scoring engine uses advanced machine learning to translate 1000’s of attributes per consumer — drawn from external and internal datasets — into personalized scores and recommendations.
Predictive models identify high-opportunity customers
ML clustering creates intelligent customer segments
Real-time scores enable staff to prioritize potential VIPs on Day One
External data is used safely — translated into scores, not raw attributes — preserving privacy while unlocking insight
Customer Vineyard makes it simple to leverage vast national and multi-industry datasets and deploy powerful AI tools — all without the need for expensive in-house or outside data resources
1. Ingest & Enrich
We start by collecting your internal customer data (purchases, loyalty activity, reservations, etc.). Then, we greatly enhance each customer profile using external proprietary datasets — built from over 35 million U.S. consumers and $20B+ in real-world consumer spending.
2. Score Every Customer
Our machine learning models analyze over 1,500 data signals per person to generate:
The CV CoreScore™ – Predicts future value to your business and versioned by industry (0–100 scale)
Current Value Score – Assesses lifetime value to date for your business based on a customers past interactions and orders
Engagement Score – Tracks satisfaction and churn risk.
All of these scores are continuously updated to reflect real-time behavior.
3. Segment & Prioritize
We also 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.
4. Activate & Measure
Deploy your 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.