What is marketing mix modelling?
Marketing mix modelling is a statistical method that shows how much each channel contributes to revenue, without relying on third-party cookies. Stitch delivers it through Stitch Predict, our Bayesian MMM platform, priced in NZD for mid-market brands in New Zealand and Australia, with geo-lift validation and scenario planning that marketing and finance can both use.
Who it's for
It is for mid-market brands that need defensible answers about what drives revenue, without enterprise pricing or long contracts.
It suits marketing and finance teams who both need to trust the model, as Turners does in board-level investment decisions.
Marketing mix modelling has had a renaissance as third-party cookies disappear and finance teams demand defensible answers about what is actually driving revenue. The enterprise MMM platforms in market price out the mid-market or lock clients into long contracts for models that marketing teams and CFOs cannot both believe.
Stitch Predict is the proprietary platform we built because the alternatives did not fit. Bayesian regression foundation. Third-party-cookie independent. Integrated with the data infrastructure Stitch already deploys for clients. Scenario planning and budget optimisation outputs that marketing and finance can both use.
Deployed across the Stitch portfolio. Validated via geo-lift on Turners Auto Retail and used in board-level investment decisions. Public launch case study with RestoreMe Clinic.
Related case studies
What we do
- Bayesian marketing mix modelling on two to three years of weekly data
- Geo-lift validation
- Scenario planning and budget reallocation
- Channel-, campaign- and creative-level decomposition
- Integration with first-party customer data, attribution and finance systems
- Board-grade reporting deliverables
FAQ
How is Predict different from a custom MMM build?
Predict is productised: same Bayesian engine, lower cost, monthly cadence, NZ-specific media library.
How long until we get a model?
First model in 6 weeks from contracted data access.
What data do you need?
Two to three years of weekly data. Predict integrates with first-party customer data, attribution and finance systems.
How do you know the model is right?
We validate with geo-lift against held-out markets. Predict was validated via geo-lift on Turners Auto Retail.
Do you work with Australian businesses?
Yes. Stitch Predict is built for mid-market brands across New Zealand and Australia.
What results have clients seen?
For Turners, Predict identified 1.9x BVOD ROI via geo-lift, and the model is used in board-level investment decisions.