Cassandra vs Rockerbox: a unified measurement platform, or an AI marketing brain that measures and does the work
Rockerbox publishes a unified measurement platform: multi-touch attribution, a Bayesian marketing mix model and incrementality testing on one data foundation. 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 say test results should shape the other numbers. Rockerbox describes a measurement platform; Cassandra also does the work, from the plan to the ads.
What Cassandra is
- An AI marketing brain for growth teams that learns what drives growth.
- Measures with a Bayesian marketing mix model checked by live geo experiments.
- Does the work: plans, budget moves, ads, creative and reports.
- Approvals: the team picks what waits for approval; every change is recorded.
- Learns: every move is checked against its forecast.
How this comparison was made
Everything here about Rockerbox comes from its own public pages and help center, 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 If anything is out of date, write to hello@cassandra.app and we will correct it.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 Rockerbox is the better choice
- Daily attribution: Rockerbox says its MTA shows daily performance patterns across touchpoints.
- One data foundation: centralised and SOC2-certified, Rockerbox says, with export to a warehouse.
- Start with one method: Rockerbox says you can add others as your questions evolve.
- A platform of record: Rockerbox describes itself as "The Platform of Record for All Marketing Measurement".
- Managed testing: Rockerbox describes testing as a fully managed offering, geo-based tests included.
What each one says it is
- Rockerbox describes a unified measurement platform built on a centralised, SOC2-certified data foundation.
- Its products: multi-touch attribution, marketing mix modeling and incrementality testing.
- Bayesian: its help center states it uses a Bayesian methodology in its marketing mix models.
- Cassandra treats measurement as half the job: planning, ads, creative and reporting run in the same system.
How each uses test results
- Rockerbox publishes: "Attribution and MMM surface hypotheses. Testing validates them with causal evidence."
- It says test results can calibrate its MTA model and inform MMM as priors.
- Cassandra: live geo experiments check its Bayesian model, and attribution is checked against the lift they measure.
- Ask both to show one channel's figure before and after a test result was added.
What each publishes about testing
- Rockerbox describes incrementality testing as a way to establish causality, using control groups.
- Three core methods, its help center lists: geo-based, time-based and bespoke tests.
- Service: it says it can ingest results, consult on test plans, or fully manage tests.
- Cassandra runs live geo experiments in the same system as its model.
When attribution and the model disagree
- Rockerbox says it shows where methodologies align and where they diverge.
- The gap mixes windows, view-through crediting, genuine incrementality and model uncertainty; a test settles it.
What each publishes about pricing
- Rockerbox's plans page says "You select your mix of products, built to fit your company."
- Its buttons lead to a talk-to-an-expert page and a demo request.
- Cassandra: start for free with your website and data. Paid plans scale with yearly ad spend.
- Like for like: ask both for a figure at your scale.
Questions to ask both vendors
- Which channels have been tested, and when?
- How does a test result change the plan?
- What is the number's denominator? Tracked conversions, or the whole outcome.
- How would a channel with zero tested lift show up?
What our numbers need
- 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 to return a readable result.
Cassandra is an AI marketing brain for growth teams. It learns what drives growth, with a Bayesian marketing mix model checked by live geo experiments, and does the work within your rules. You decide what waits for approval.
What running both involves
- Label each report's scope, and agree which answers which question: the model for budgets, attribution for journeys.
- Feeding a second tool: Rockerbox's export to a warehouse or Google Sheets is a natural route.
- Agree which figures Cassandra's changes follow, and which wait for approval.
How to choose
- Rockerbox: daily attribution, and three methods on one data foundation.
- Cassandra: measurement and the work in one system, so the same team hits a bigger growth target.
- Both needs: keep the measurement platform you trust and add a system that acts on it.
Questions
What is the difference between Cassandra and Rockerbox for marketing mix modeling and attribution?
Rockerbox publishes a unified platform with multi-touch attribution, a Bayesian marketing mix model and incrementality testing on one data foundation. Cassandra, an AI marketing brain for growth teams, measures with a Bayesian marketing mix model checked by live geo experiments, then does the work.
How do you get a price from Rockerbox?
Rockerbox's plans page invites you to talk to an expert or request a demo, and says you select your mix of products to fit your company.
Does Rockerbox run geo experiments?
Yes. Rockerbox's help center lists geo-based tests among its three core test methodologies, alongside time-based and bespoke tests, and says Rockerbox can fully manage tests end to end.
Can test results change a marketing mix model?
Yes. Rockerbox states that test results can calibrate its attribution model and inform its marketing mix model as priors. In Cassandra, live geo experiments check the Bayesian model.
What are alternatives to Rockerbox?
Other measurement platforms include Northbeam and Triple Whale. For measurement and the work in one system, Cassandra is another option.