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Marketing Mix Modeling
Free Marketing Mix Modeling Software - Your MMM in 10 Minutes
Cassandra is the AI-powered marketing mix modeling software that lets you build, train, and optimize your MMM in 10 minutes. No code, no statisticians. Cloud-scalable with built-in incrementality testing.
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Marketing Mix Modeling Software — Build Your MMM in 10 Minutes
Cassandra is the AI-powered MMM platform that replaces months of data science work with a no-code interface. Upload your data, train your model in the cloud, and optimize your media budget — all in one session.
Why Most MMM Projects Fail Before They Start
Traditional Marketing Mix Modeling requires 3–12 weeks of data cleaning, feature engineering, and Bayesian parameterization. That means hiring statisticians and data engineers — roles that cost $150K–$250K/year and take months to recruit.
Even after building the team, most MMM tools on the market lack cloud scalability. You cannot refresh models automatically, run multiple scenarios in parallel, or deploy results into budget decisions without manual work.
The result: 60–70% of MMM initiatives stall before delivering a single actionable insight.
How Cassandra Solves This
Cassandra is built for marketing teams, not data science teams. Every design decision optimizes for speed-to-insight and decision quality.
Capability | Traditional MMM | Cassandra |
|---|---|---|
Setup time | 3–12 weeks | 10 minutes |
Technical skills required | Python, R, Bayesian statistics | None (no-code UI) |
Model training | Local machine, single model | Cloud — multiple models in parallel |
Model refresh | Manual re-run | Automated, scheduled |
Output interpretation | Requires analyst translation | Plain-language insights, actionable by marketers |
Incrementality validation | Separate tool or not available | Built-in GeoMatch geo-experiments |
Four Steps to Optimized Media Spend
Upload your data — CSV, direct connectors to Google Ads, Meta Ads, TikTok Ads, Shopify, and major data warehouses. No data engineering required.
Configure your model — Select features and set parameters through a guided form. Cassandra's Bayesian engine handles the statistics.
Train in the cloud — One click. Models train in approximately one hour. Run multiple models simultaneously to compare scenarios.
Optimize your budget — Analyze past performance with AI-generated insights and reallocate spend using the built-in Budget Allocator.
Proven Results
Pedia.com (largest online retailer in the shipping industry) used Cassandra to identify underperforming campaigns and reallocate budget to high-ROI channels.
Result: 30% reduction in cost per conversion using the MMM Builder and Budget Allocator — achieved within weeks, not months.
What Makes Cassandra Different from Other MMM Tools
AI-first architecture — Bayesian MMM with automated priors, not legacy regression models
Incrementality calibration — Validate MMM outputs with GeoMatch geo-experiments. No other self-serve platform offers this.
No-code, no statisticians — Built for CMOs, Heads of Growth, and Performance Marketing Directors. Not for data science teams.
Cloud-native scalability — Train, refresh, and deploy models without infrastructure overhead
Native connectors — Google Ads, Meta Ads, TikTok Ads, Shopify, Snowflake, BigQuery — data flows in automatically
Built for Teams That Need Answers, Not Models
Cassandra is designed for B2B SaaS, eCommerce, and Fintech marketing teams spending $50K–$5M/month on media. If your team is asking "where should the next dollar go?" — this is the platform that answers it.
Frequently Asked Questions
Do I need coding or statistics skills?
No. Cassandra's UI is designed for marketers. Every output includes plain-language interpretation.
How long does model training take?
Approximately one hour per model. You can train multiple models in parallel.
What data sources are supported?
CSV upload, plus native connectors for Google Ads, Meta Ads, TikTok Ads, Shopify, and major data warehouses (Snowflake, BigQuery, Redshift).
How is Cassandra different from Measured, Recast, or Lifesight?
Cassandra combines Bayesian MMM with built-in incrementality testing (GeoMatch) in a single no-code platform. Most competitors require separate tools for MMM and incrementality, or require data science resources to operate.
