Predictive Targeting
Elevate your loyalty marketing with predictive insights
Go beyond historical data—predict and influence future behaviour with Plinc’s Future Value Model.
Introduction to the Future Value Model
Transform a ‘one-size-fits-all’ CRM strategy into a dynamic, personalised experience that anticipates customer needs and drives loyalty with Plinc’s Future Value Model.
Using advanced machine learning, our model predicts each customer’s future value by assessing two critical factors: their likelihood of returning and their potential spend when they do.
The outcome? A unique Future Value Score (FVS) for each individual, enabling marketing teams to tailor customer engagement strategies and investment based on potential long-term value and ROI.
What is the Future Value Score (FVS) and Why Does It Matter?
Plinc’s Future Value Model shifts the focus from past purchasing behaviour to future engagement potential, addressing evolving customer needs.
Unlike traditional metrics rooted in historical data, Plinc’s Future Value Score (FVS) provides a forward-looking perspective for strategic audience segmentation.
- Prioritise segments with high potential for incremental growth
- Retain loyal customers efficiently without over-investing
- Re-engage key segments with tailored strategies
Key Benefits
Harness the power of predictive customer insights to transform your CRM approach:
- Focus Your Marketing Spend: Use precise data to identify customers most likely to return and spend, tailoring your engagement strategy for maximum ROI.
- Optimise Offers and Promotions: Align promotions with predicted customer value to ensure your resources target high-impact segments, avoid unnecessary discounts, and amplify returns.
- Embrace New Success Metrics: Evaluate campaigns with a fresh perspective—incremental increases in FVS as an indicator of customer retention likelihood.
Case studies
M&S International use Future Value Model for promotional segmentation
To increase retention and optimise marketing spend across these markets, …
Dynamic campaign platform transforms M&S’ eCRM
Q: How did M&S manage to respond to rapidly changing business needs while …
Removing the pain of campaign platform migration
Q. How did this retailer move its complex campaign program into a new …
Predictive targeting boosts M&S’ email responses by 20%
Q. How did M&S achieve a 20% increase in email engagement and subsequently …
Real time personalisation results in a 15% rise in email engagement
Q. How did this retailer achieve a 15% uplift in engagement by optimising …
