Predictive Analytics
Predictive analytics only creates value when the outputs are trusted, accessible, and integrated into the decisions your business makes every day. We don't just build models — we build the pipelines to score in real time, the dashboards to surface insights to the right people, and the feedback loops to keep models accurate as your data evolves.
Our work spans the full modelling lifecycle: exploratory analysis, feature engineering, model selection and training, calibration, deployment, and monitoring. We're equally comfortable running fast experiments to prove value quickly and building production-grade scoring infrastructure that operates at millions of predictions per day.
WHAT WE DELIVER
Concrete outputs, not just advice
Customer Churn Models
Survival analysis and classification models that identify at-risk customers early enough to act — with explainability outputs your retention teams can use.
Lead Scoring Systems
Real-time propensity models that rank inbound and outbound leads by conversion likelihood, integrating directly with your CRM and sales workflows.
Demand Forecasting
Time-series and ML-based forecasting models that account for seasonality, promotions, and external signals to drive smarter inventory and capacity planning.
Fraud & Anomaly Detection
Unsupervised and supervised models that flag unusual behaviour in transactions, user activity, or operational data with calibrated precision-recall trade-offs.
Segmentation & Clustering
Behavioural and needs-based customer segmentation that powers personalised marketing, product recommendations, and tiered service models.
Campaign Attribution
Multi-touch and causal attribution models that move beyond last-click to give your marketing team an accurate view of what's actually driving revenue.
USE CASES
Where we've delivered
Cart abandonment model recovering 18% of lost revenue
Built a real-time propensity model that triggers personalised recovery flows for high-intent abandoners — improving recovery rate and average order value simultaneously.
Claims fraud detection reducing false positives by 60%
Developed an ensemble fraud detection system that surfaces suspicious claims with explanations, cutting investigation backlogs while maintaining high recall.
Churn prediction model enabling proactive retention at scale
Deployed a 90-day churn risk scorer integrated with the CRM that automatically triggers account manager outreach and in-product retention interventions.
Causal campaign attribution replacing last-click with true incrementality
Implemented causal inference models that quantify the true lift of each channel and tactic, shifting budget allocation and improving blended ROAS by 22%.
TOOLS & TECHNOLOGIES