Marketing Mix Modeling
Marketing mix modeling on your own data, calibrated with experiments, for channels attribution cannot see: TV, podcasts, out-of-home and brand. Runs open-source engines (PyMC-Marketing by default, Google Meridian or Meta Robyn) on platform compute; you supply margins, known events and priors, the template does the rest.
What it adds to your workspace
- Channel contribution and response curves from weekly spend and outcomes
- Calibration against your incrementality tests
- Scenario planning for next quarter's budget
Works with
- Two years of spend and outcomes by week
Install
$ segmentstream add marketing-mix-model
▸ files added to your workspace repo
▸ deploy to start
Or ask your agent
“Build a marketing mix model calibrated with our last two geo tests.”
Pricing
Included during early access. Runs on platform usage.
Part of these solutions
More apps
Want Marketing Mix Modeling set up for you?
Our forward-deployed engineers build one solution on your data, in your own workspace, as code you own. Tell us what you run today and what you want; your note goes straight to our founder.
- One solution, on your data, in your own workspace
- First version live in two weeks
- Parity proven before anything is switched off
- Fixed scope and price, credited to your contract if you continue
Not ready for a pilot? Send the form anyway with your question. An engineer will reply, not a sales rep.
How the pilot worksYour company’s context, ready for every agent.
$ segmentstream workspace create acme --region eu
▸ workspace ready · data, objects, metrics and access rules in one place
▸ connect Claude, ChatGPT or Cursor with one connector
▸ tell your agent: “add our billing API as a source”
Our engineers build the first version on your data in two weeks, at a fixed price.
Or join the waitlist for self-serve:
Pilots are open now. Self-serve opens to the waitlist this fall.