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Introduction

Predictive analytics helps you shift from looking back to looking ahead – anticipating customer behaviour, revenue outcomes and marketing impact. Whether built on your centralised data warehouse or delivered as a standalone project, our predictive analytics services use AI and machine learning to model, prioritise and forecast what matters most. So every decision is backed by forward-thinking insight.

How it works

01

Setting clear goals to build smarter models

We start by helping you define what you want to predict or optimise. It could be conversion likelihood, churn risk, pipeline forecasting, lead scoring or account growth. Every model is then tailored around your business priorities from day one.

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02

Build a stronger data foundation for accurate forecasting

Using your data warehouse or project-specific datasets, relevant features will be cleaned, structured, and engineered to support robust modelling. This includes joining data across channels, time periods and customer journeys to create comprehensive datasets for accurate predictions.

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03

Build machine learning models you can trust – and act on

We apply advanced machine learning techniques – from classification and regression to clustering and time series – to generate accurate, scalable predictions. Every model is designed for performance, fully explainable and easy to measure, so you can trust its output.

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04

Feed predictions straight into your marketing and business systems

We turn predictions into action – through dashboards, automated alerts or direct integration with your marketing tools. B2C brands can create and sync high-value audiences to Google Ads or Meta. B2B teams can push lead scores into Salesforce or trigger personalised email journeys. Churn alerts can automatically activate retention campaigns across both audiences.

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05

Monitor model performance, minimise drift, maximise impact

We continuously monitor your models for accuracy, drift and real-world impact. Regular tuning keeps predictions aligned with changing data and business needs. We also uncover the drivers behind each outcome – so you can take targeted action, optimise spend and confidently plan for what’s next.

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Why it matters?

Predictive analytics turns your data into foresight – helping you reduce costs, improve lead quality, prevent churn and focus spend where it delivers the highest return.

Get in touch
Mark Bush
Mark Bush, Chief Data Officer

Talk to an expert: See how AI-powered data will forecast outcomes and sharpen strategy

No complex algorithms or technical jargon. Just practical guidance from consultants who've helped businesses like yours turn data patterns into profitable predictions.

Expert

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