Sydney · Doha · Riyadh · London · New York
AI Services · AI-11

See what your customers will do next.

Customer behaviour analysis, predictive lead scoring, segmentation, churn prediction, sales forecasting and marketing attribution.

Overview

Predictive Marketing Analytics

Most marketing reports explain what already happened. Predictive analytics helps you act before it happens.

Using your sales, website and campaign data, we build models and segments that show who is likely to buy, who may leave, and where your next sale is most likely to come from.

Problems we solve

Sound familiar?

These are the situations that usually bring clients to us for this service.

You treat all customers the same.

Customers leave and you only notice afterwards.

Forecasts are based on gut feeling.

You cannot tell which channel really drives sales.

What we deliver

Scope that can include

Every proposal is tailored. These are the deliverables most often included.

  • Customer Behavior Analysis
  • Predictive Lead Scoring
  • Customer Segmentation
  • Churn Prediction
  • Sales Forecasting
  • Campaign Performance Prediction
  • Marketing Attribution
Our approach

How we approach it

We audit and connect your data sources, clean them, and build models that suit your data volume. Results are delivered as segments, scores and forecasts inside the tools your team already uses, with plain-language explanations of what to do with them.

Capabilities

Features & capabilities

01

Data integration

Store, CRM, ads and analytics data combined.

02

Segmentation

Groups based on behaviour and value.

03

Forecasting

Sales and campaign predictions with ranges.

04

Attribution

Fairer credit across the customer journey.

Benefits

What it changes for your business

Smarter targetingMessages matched to each segment.
RetentionAt-risk customers identified early.
Confident planningBudgets based on forecasts.
Efficient spendInvestment where it returns most.
Process

How the project runs

Six stages, with review points at each milestone. Full process

STEP 01

Discovery

Understanding your business, audience, goals and challenges.

STEP 02

Strategy

Defining the direction, priorities and digital roadmap.

STEP 03

Creative Direction

Developing the visual and experience direction.

STEP 04

Design & Development

Turning strategy into a polished digital product.

STEP 05

Testing & Refinement

Testing functionality, responsiveness, performance and user experience.

STEP 06

Launch & Growth

Launching the project and supporting ongoing improvement.

How much data do we need?

It depends on the model. Segmentation can work with modest data; churn and forecasting models need more history. We assess this in the audit.

Is our customer data safe?

Yes. We follow data minimisation, access controls and your data policies, and can work inside your own systems.

Ready to talk about predictive analytics?

Share your goals, timeline and budget range. We will reply within one business day with next steps.