Case Study 07 / Stitch Predict

Stitch Predict

Marketing mix modelling, productised for the mid-market.

The off-the-shelf MMM platforms either cost a fortune or hand back models nobody trusts. So we built our own.

Read the story

Background

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 existing platforms in market either price out the mid-market or lock clients into long contracts for models that marketing teams and CFOs cannot both believe.

The problem

Mid-market brands across NZ and Australia need MMM-grade answers without enterprise pricing or six-month consultant engagements. The existing options do not fit the way mid-market teams want to consume the output, and do not fit the way Stitch wanted to deliver it.

The solution

Stitch Predict is a proprietary marketing mix modelling platform built on a Bayesian regression foundation. It runs independently of third-party cookies, integrates with the data infrastructure Stitch already deploys for clients, and produces scenario planning and budget optimisation outputs that marketing teams and CFOs can both actually use. Positioned for the mid-market, NZD-priced, accessible without an in-house data science team.

Portfolio

Deployed across Stitch clients

1.9x

BVOD ROI identified for Turners via geo-lift

Geo-lift

Validated against held-out markets

Additional outcomes

  • Turners Auto Retail: flagship deployment, validated via geo-lift, used in board-level investment decisions
  • RestoreMe Clinic: public launch case study

Closing

Stitch Predict is what happens when a consultancy gets tired of recommending tools it does not fully trust. We built the one we wanted to recommend.

Product site: stitchpredict.com

Next case study: World Vision NZ

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