Predictive Analytics Solutions
Tap into customer data to optimise your campaigns
Use AI-powered solutions to analyse and predict customer behaviour, so you can create better campaigns with higher engagement.
Create smart audiences
Our Single Customer View is built with an easy-to-use, drag-and-drop UI that allows non-technical marketers to create super-targeted audiences, so you can:
- Get full access to complete, customer-level digital and offline history, model scores and segments
- Push audiences into desired outbound channels and inbound touchpoints for targeting and personalisation
- See every click, browse and purchase in minutes of it happening
Audience forecasting and planning
Use machine learning to forecast and optimise audiences with solutions like our Campaign Planner module, helping you:
- Efficiently manage contact rules, suppression limitations, and trade priorities
- Simulate campaign scenarios to adjust targeting and segmentation based on propensity to convert
- Facilitate easy planning with a simple drag-and-drop calendar UI, making the most out of your campaigns
AI predictive audiences
Automatically leverage complex behavioural patterns and predict upsell and cross-sell strategies with solutions like our Category Affinity Model, so you can:
- Understand and react to customer propensity, identifying opportunities for engagement and brand loyalty
- Predict when customers might move into new categories and adapt relevant communications accordingly
- Boost basket sizes, increase conversions, and reduce opt-outs through channel-agnostic strategies
Predict lifetime value
Create forward-looking marketing strategies, influencing customer behaviour to drive impactful campaigns and increase loyalty. Solutions like our Future Value Model use machine learning to:
- Identify your most valuable customers and adjust your offers to serve them, driving higher value and improving targeting
- Provide a framework to prioritise communications and assign promotional spend for the highest ROI
Optimised automations
Solutions like our Basket Abandonment module automate responses to customer intent, luring them back. Rather than repetitive reminders, we utilise browse data to suggest timely, relevant products, boosting sales.
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 …
