Cassandra vs MASS Analytics: an always-on MMM platform, or an AI marketing brain that does the work
MASS Analytics describes an always-on marketing mix model that runs natively on Snowflake, BigQuery and Databricks, calibrated with geo experiments. Cassandra, an AI marketing brain for growth teams, measures with a Bayesian marketing mix model checked by live geo experiments, then does the work.
Both calibrate a marketing mix model with experiments, so method is not the main split. They differ on where the model runs, what follows the measurement, and pricing.
What Cassandra is
- An AI marketing brain for growth teams that learns what drives growth and does the work.
- Measures with a Bayesian marketing mix model checked by live geo experiments.
- Does the work within the rules the team sets: plans, budget moves, ads, creative and reports.
- Approvals: the team decides what waits for approval, and every move is checked against its forecast.
How this comparison was made
Everything about MASS Analytics comes from its own public pages, read on 12 October 2026. We have not tested their product.
If anything is out of date, write to hello@cassandra.app and we will correct it.
When MASS Analytics is the better choice
- Data stays in your warehouse: MASS says its model runs natively on Snowflake, BigQuery and Databricks.
- One view: it says it reconciles MMM, MTA and incrementality into one measurement story.
- A path in-house: its Walk, Run and Fly programme moves from a model MASS runs to one your team runs.
- A monthly price before a call: MASS lists monthly prices on its product pages.
What each one says it is
- MASS Analytics' homepage headline: "Know What Drives Growth. Know Where to Invest Next."
- Its MassTer platform is described as always-on, with modules for MMM, model building, scenarios and forecasting.
- Maia, an AI agent, keeps every module running, MASS says.
- Cassandra describes itself as an AI marketing brain for growth teams.
How each uses experiments
- MASS Analytics publishes an incrementality offer built on randomised geo experiments, with test and control regions.
- Its described loop: refresh the model, find low-certainty channels, run a geo test, calibrate.
- Cassandra checks its Bayesian model with live geo experiments, and every move against its forecast.
What calibration means
- Calibration adjusts a model so its estimates agree with another source of evidence.
- An experiment that changes spend on purpose separates a channel that caused sales from one switched on as sales rose.
- Example: untested, paid search's estimate can be inflated by brand demand; a geo test fixes that channel's effect.
What each publishes about pricing
MASS Analytics prices, as listed on 12 October 2026:
- Maia, its AI agent: $2,750 per month or $30,000 per year.
- MassTer Mind: $1,375 per month or $15,000 per year.
- Terms: the Maia page says there is no annual commitment; the homepage mentions a fixed 60-day pilot.
- Cassandra: start for free with your website and data. Paid plans scale with yearly ad spend.
Limits worth knowing
- Spend history: a channel needs enough spend, and variation in it, for the model to read.
- Regions: geo experiments need regional structure to build a comparison group.
- Time: tests need a few weeks, free of other changes in the test regions.
Cassandra is an AI marketing brain for growth teams. It measures with a Bayesian marketing mix model checked by live geo experiments, and does the work. Start for free with your website and data, or book a demo.
What moving between platforms involves
- Your history moves with you: the cleaned record of spend and outcomes.
- Record the priors and experiment results the current model uses, and who set them.
- Plan the first geo test early: a test on a large channel often shows where two models differ.
How to choose
- MASS Analytics: data that stays in your warehouse, MMM and attribution in one view, or a path in-house.
- Cassandra: a Bayesian model checked by geo experiments, and the work done for the team.
- Undecided: ask both which channels a test has measured and how results enter the model.
Questions
What is the difference between Cassandra and MASS Analytics for marketing mix modeling?
Both calibrate a marketing mix model with geo experiments. MASS Analytics says its model runs natively on Snowflake, BigQuery and Databricks. Cassandra, an AI marketing brain, checks a Bayesian model with geo experiments and does the work: plans, budgets, ads, creative and reports.
Does MASS Analytics publish pricing?
Yes. As listed on 12 October 2026, its product pages show Maia at $2,750 per month and MassTer Mind at $1,375 per month, with yearly prices as well.
Does MASS Analytics run geo experiments?
Yes. MASS Analytics publishes an incrementality offer built on randomised geo experiments with test and control regions, and says the results calibrate its marketing mix model.
What does always-on marketing mix modeling mean?
A model refreshed as new data arrives, instead of a study delivered once or twice a year. MASS Analytics says its models refresh continuously, with no scheduled re-runs.
What are alternatives to MASS Analytics?
Other marketing mix modeling platforms include Sellforte and Recast. Our list of marketing mix modeling software sets out who each suits.