Understand what drives growth
See each channel’s estimated contribution to business results, alongside baseline demand.
A clearer picture of your marketing. A more informed next move.
Connect your marketing data and get an independent Marketing Mix Model showing what’s working—and where your next dollar should go.
Get my measurement reportFREEYour first measurement report.
See each channel’s estimated contribution to business results, alongside baseline demand.
Compare incremental and marginal ROAS, with uncertainty visible alongside the estimates.
Explore where channels may have headroom and where additional spend starts to deliver diminishing returns.
Review your current allocation against a proposed plan, including the assumptions and uncertainty.
All charts use illustrative data. Estimates are not guaranteed outcomes.
Get this analysis for my businessConnect Shopify and your ad accounts to estimate each channel’s contribution to sales and explore a better budget mix.
Shopify sales history and historical ad spend from 2+ ad channels. We’ll check data coverage and quality before modeling.
Preview MMM Insights
Channel ROAS Connect supported ad platforms and Shopify.
MAI evaluates data coverage and quality, then builds and checks your model.
Explore channel performance, return estimates, and budget scenarios.
Start with Shopify sales history and historical ad spend from 2+ channels. MAI checks data coverage and quality before modeling.
CEO
Previously VP of Engineering at Instacart and Principal Engineer at Google Ads
Ph.D in Machine Learning from Northwestern, B.Eng from Tsinghua
CTO
Previously Sr Director of Engineering at Instacart and Senior Staff Engineer at Google Ads
Ph.D in Machine Learning from UC Santa Cruz. B.Eng from Fudan
Founding Engineer
Previously Staff engineer at Instacart and Google Ads
Ph.D in Machine Learning from Indiana University Bloomington. B.Eng from SJTU
Member of Technical Staff
Previously Director of Engineering at Instacart and Staff Engineer at Google
Ph.D in Statistics from Duke University. Bachelor in Math from Peking University.
Data Scientist
Previously Member of Research Staff at The Voleon Group
Ph.D. Princeton University
B.Eng. Tsinghua University.
Data Scientist
Previous Head of Data Science at TikTok, leading user growth and marketing measurement.
MAI combines self-serve marketing mix modeling with agent-powered optimization. Start by understanding channel performance, then use MAIOS to move from measurement to approved action.
You’ll need Shopify sales history and historical ad spend from at least two ad channels. MAI checks the history, coverage, and quality of your data before modeling.
Connect your Shopify store and 2+ ad channels, such as Google Ads, Meta Ads, or Microsoft Ads. MAI checks your historical data for coverage and quality to determine whether it’s ready for MMM analysis.
Report preparation starts after your data passes the coverage and quality checks. Timing depends on your data readiness and the model checks.
MAI’s data evaluation checks whether there is enough usable information to build a model. If something is missing, you’ll see the issue and the recommended next steps.
Your first measurement report is free. Ongoing modeling is available through a paid plan; review the current plan details during signup.
Understand your results. Explore your next move.
Start with
your first MAI Measurement report.