The Process
How it Works: Turning Data into Predictive Action
Customer Vineyard’s scoring engine uses advanced machine learning to translate over 1,500 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 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 multi-industry datasets and deploy powerful AI tools — all without the need for expensive outside data resources.
1. Ingest & Enrich
We start by collecting your internal customer data (purchases, loyalty activity, reservations, etc.). Then, we enhance each customer profile using external proprietary datasets — built from over 30 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:
Potential Value Score – Predicts future value (0–100 scale)
Current Value Score – Assesses lifetime value to date for your business
Engagement Score – Tracks satisfaction and churn risk These scores are continuously updated to reflect real-time behavior
3. Segment & Prioritize
We auto-generate intelligent action segments — like “High Potential But Low Current Value ” — so your teams know 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.