We help brands measure which of their ads actually drive sales.
Stella is an incrementality platform. We measure which of your ads are actually driving new sales, not the ones the platforms would have gotten anyway, and show you where to put the next dollar.
Current annual run rate.
For years, good measurement meant one of two bad options.
Build the models yourself, or sign a year-long contract with an enterprise vendor. We built the third option.
- Six or twelve-month contracts. You sign before you see a single result.
- Priced for enterprises, out of reach for most teams.
- You start with a senior team, then get handed to a junior support rep after a couple of months.
- That rep isn’t a data scientist or a marketer, and has never run a business, so they can’t really explain the R², the confidence bands, or what the model is telling you.
- 30-day terms. Leave whenever you want, and most don’t.
- Tiers for every stage, starting free.
- You work with the data scientist who wrote the methodology.
- Every number shown and explained: R², confidence intervals, and the assumptions behind them.
It doesn’t stop at a number.
Most tools tell you what was incremental and leave you there. Stella tells you the next move: which lever to pull so the next dollar drives more growth.
Quarter after quarter, so you’re the one who looks like a rockstar to the CFO.
Explore the tools: incrementality experiments, media mix modeling, and always-on incrementality.
“Why are you this cheap?”
It’s the first thing skeptics ask on a call. The honest answer: we priced Stella low on purpose. This space has been gatekept by price, and we’re here to break it open.
No investors to pay back, no pressure to inflate a price. Our only pressure is your results.
No lock-in. Cancel whenever you want. Clients stay because it works, not because they’re stuck.
From free to full-service, so real measurement isn’t just for enterprise budgets.
Need white-glove? We also build full-service engagements with custom causal models. Same team, more hands-on.
Already run a holdout or an MMM somewhere else?
Take that exact dataset. Run it through Stella’s free tier. Compare the results yourself. We think you’ll be surprised.
The media buyer ran the ads. The data scientist measured them.
Brenden spent a decade buying media, running paid budgets for DTC brands and publicly traded companies. The platforms always reported strong returns, but the growth on the dashboard didn't reliably show up in the company's revenue.
He wanted to know which ads were driving real sales and which ones weren't, so he started running holdout tests to find out.
Vinay led data science at a growth agency, building the models clients used to show their marketing worked. He knew how those models were built, and where they got cut short when a deadline moved.
He wanted measurement that held up every time, not just when the schedule allowed. So he built it.
They saw the same gap at every brand: tools that showed what happened, nothing that told them what actually caused it. So they built Stella to answer the question every marketer has to answer for themselves: which of your ads are actually driving sales?
Our measurement, inside platforms you already trust.
Domo MMM is powered by Stella’s incrementality modeling. Domo (Nasdaq: DOMO) built their marketing mix modeling service in collaboration with Stella. Their data orchestration and AI layer, our causal measurement. The same methodology that runs every Stella study, now inside the enterprise data stack.
Read the announcement→Stella is a measurement partner in the Universal Ads Expanded Business Partners Program, NBCUniversal’s ad marketplace.
See the program→Featured byGoogle Ads, in a post on LinkedIn.
The people who built Stella.
See what’s actually driving your growth.
Start free, or bring a call and we’ll design the first study with you.
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