Decision Intelligence
Why they buy. Why they don't.
What to do next.
Five model families on the same profile, each showing its method and validation.
One grounded hypothesis and one testable intervention per leak. Predictions are graded weeks later against the real rate.
Customer value
Who to invest in, win back, protect.
Lifetime value, churn risk from survival models, and uplift modelling that separates persuadables from sure things.
Audience and offers
Which offer for which audience.
Behavioural segmentation, next-best-offer mix and basket affinity, feeding campaigns and upsell.
Spend and attribution
Where the next unit of budget works hardest.
Marketing-mix decomposition, channel credit, marginal-return analysis and price elasticity.
Demand
Signals ahead of the curve.
Forecasting with backtests, seasonality shape and adoption curves, shaping rate and campaign timing.