Predictive Analytics Services

Traditional analytics tells you what happened. Predictive analytics tells you what will happen enabling you to act before it does. By identifying patterns in historical data, machine learning models can forecast customer behaviour with increasing accuracy: who's likely to buy, who's about to leave, which leads will convert, and what products will sell. This shifts marketing from reactive to proactive.

We build predictive models designed for practical application, not academic interest. Each model addresses a specific business decision: whom to target, how much to bid, when to intervene.

Customer Lifetime Value Prediction

We build models that predict the future value of customers based on early behavioural signals. This enables value-based acquisition - investing more to acquire customers who will generate higher returns over their lifetime.

What's delivered:

Historical LTV analysis and calculation
Predictive model development and training
Early signal identification
Segment-level LTV predictions
Activation through bidding and targeting

Churn Prediction & Prevention

We develop models that identify customers at risk of churning before they leave. Early warning enables proactive intervention - retention offers, engagement campaigns, or service improvements - while there's still time to act.

What's delivered:

Churn behaviour analysis and definition
Risk factor identification
Predictive model development
Intervention trigger design
Retention programme integration

Lead Scoring & Prioritisation

We create predictive lead scores that help sales teams focus on prospects most likely to convert. By ranking leads based on conversion probability and potential value, sales effort concentrates where it delivers the highest return.

What's delivered:

Conversion pattern analysis
Scoring model development
CRM integration and automation
Score threshold optimisation
Model performance monitoring

Demand Forecasting

We build forecasting models that predict future demand for products, categories, or channels. Accurate demand forecasts improve inventory planning, marketing budget allocation, and promotional timing.

What's delivered:

Historical demand pattern analysis
Seasonality and trend modelling
External factor integration
Forecast accuracy measurement
Automated forecast updates

Attribution & Incrementality Modelling

We develop advanced attribution models that reveal true marketing impact. Beyond simple last-click attribution, we measure incrementality - the additional conversions each channel actually causes - enabling confident budget allocation.

What's delivered:

Multi-touch attribution modelling
Incrementality test design and execution
Marketing mix modelling
Cross-channel impact analysis
Budget optimisation recommendations

“Complete dedication to our brand mission at Teylu. They worked within our limitations and made our marketing profitable on first purchase.”

Ken Price

CEO, Blake Mill Menswear

Reach out and let’s do something remarkable together.

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