Cassandra vs Measured: a marketing effectiveness platform, or an AI marketing brain that does the work
Measured describes itself as "the AI-powered marketing effectiveness platform trusted by enterprise brands", combining experiments with media mix modeling. Cassandra, an AI marketing brain for growth teams, measures with a Bayesian marketing mix model checked by live geo experiments and does the work.
Both check a marketing mix model with experiments. Measured surrounds its model with planning tools, benchmarks and a strategist; Cassandra uses what it learns to do the work.
What Cassandra is
- An AI marketing brain for growth teams: it 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, budgets, ads, creative, reports.
- Approvals: the team decides what waits; every change is recorded.
How this comparison was made
Everything about Measured 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 If anything is out of date, write to hello@cassandra.app and we will correct it.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 Measured is the better choice
- One vendor: its platform includes Media Mix Modeling, Incrementality Testing, Media Plan Optimizer, Cross-Channel Dashboard and Benchmarks.
- A strategist: Measured's Strategic Services offer a dedicated strategist to create a custom experimentation roadmap.
- Peer benchmarks: Measured Benchmarks compare you against 150+ brands on ROAS, cost, spend and budget allocation.
What each one says it is
- Measured says it combines causal experiments with media mix modeling, for enterprise brands.
- Cassandra: an AI marketing brain that learns what drives growth and does the work.
- Both serve teams that need to justify spend, and treat experiments as the check on the model.
What Measured publishes about its method
- Model: Measured's explainer calls its Measured Incrementality Model a regression-based MMM with Bayesian-style elements, not fully Bayesian.
- Priors: geo study results become its priors; Measured says any geo holdout test can be used for calibration.
- Data: three years required, the explainer says, though in some cases models can be built with less.
- Refresh: the explainer says the model is run daily; the MMM page offers weekly, monthly or quarterly updates.
Where the two differ
- Model: Measured describes a regression-based model with Bayesian-style elements; Cassandra uses a Bayesian marketing mix model.
- Experiments: Measured describes geo and audience split experiments; Cassandra checks its model with live geo experiments.
- After the model: Measured adds planning, a dashboard, benchmarks and strategic services; Cassandra does the work.
- Buying: Measured routes buyers to a demo, pricing on request; Cassandra starts free with your website and data.
How each one uses experiments to check the model
- Both treat an experiment as stronger evidence than a model estimate.
- Measured's guidance: when test and model disagree, trust the test and recalibrate the MMM to match.
- Cassandra: a live geo experiment's result checks the Bayesian model, so later plans reflect what the test found.
- Example: a geo test on paid social measures the lift directly and pulls the model's estimate toward it.
Questions to ask both vendors
- Show me the assumptions on a live model, and change one.
- Export the output behind this chart. The numbers, in a file you keep.
- Which model version produced last quarter's result, and can you rerun it?
- What happens if we leave? Which data, outputs and model settings you can take with you.
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 and a comparison group.
- Time: tests need a few weeks; keep test regions free of other changes.
Cassandra, an AI marketing brain for growth teams, learns what drives your growth and does the work within the rules your team sets. Start for free with your website and data, or book a demo.
What moving between platforms involves
- History moves with you: a cleaned, reconciled record of spend and outcomes, which is most of the work.
- Experiment results move too and stay valid evidence; record each test's design and result outside either platform.
- Reporting stays behind: run both for a while, so differences are explained before budgets depend on them.
How to choose
- Measured: an enterprise programme wanting modeling, testing, planning, a dashboard, benchmarks and a strategist from one vendor.
- Cassandra: a team that wants what it learns turned into work done, within the rules it sets.
- Unsure: list the decisions measurement must support and who acts on them, then ask both the same questions.
Questions
What is the difference between Cassandra and Measured for marketing mix modeling?
Both calibrate a marketing mix model with experiments. Measured describes a regression-based model with Bayesian-style elements, plus planning, benchmarks and strategic services for enterprise brands. Cassandra measures with a Bayesian model checked by live geo experiments, then does the work within the team's rules.
How is Measured priced?
Measured's site routes buyers to a demo, so pricing is quoted on request. Cassandra can be started for free with your website and data; paid plans scale with yearly ad spend.
Is Measured's model Bayesian?
Measured describes its Measured Incrementality Model as "a regression-based marketing mix model (MMM) which incorporates Bayesian-style elements", and says it is not fully Bayesian. Geo test results enter it as priors. Cassandra measures with a Bayesian marketing mix model checked by live geo experiments.
Which is better for enterprise brands?
Measured names enterprise brands and surrounds its model with strategic services, benchmarks and planning tools: a strong option for a large programme wanting all of that from one vendor. Cassandra suits growth teams that want the measurement and the work that follows it.
What are alternatives to Measured?
Vendors whose own sites describe both a marketing mix model and incrementality experiments include Sellforte, Recast, Haus and LiftLab. Cassandra is another option. Our page on Measured alternatives sets out who each suits.