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Alternatives

The best Rockerbox alternatives.

Rockerbox is an attribution-led measurement platform for B2C brands, owned by DoubleVerify since 2025. If the question is how much to spend and where, with TV and other offline media inside the model, the strongest alternative is Odins: one managed Bayesian model per market. Odins is ours, so we say it up front. Four more options follow, sorted by who they fit.

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Reviewed October 2026 · sources cited on this page

The alternatives

Five alternatives, sorted by fit.

Rockerbox combines multi-touch attribution, marketing mix modeling and incrementality testing on one data foundation, for B2C brands and their agencies. These five take a different route. The best-for lines say which one suits you.

  1. Odins

    Managed Bayesian platform That's us

    Best Rockerbox alternative for advertisers who want one model for budget size and allocation, offline media included.

    Odins is a managed marketing investment platform. Rockerbox puts attribution, MMM and testing side by side and helps you reconcile them. Odins builds one Bayesian model per market for the budget decision, with TV, radio, OOH and print next to digital, pricing and promotions. Attribution and platform data inform the priors, test results are taken into the model, and attribution keeps its job inside the channels. Data flows in daily and scenarios and forecasts run any time; the model is retrained monthly, and a person reviews every recommendation. Disclosure: this is our platform.

    Bayesian MMM · Fully managed · Daily data, monthly retrain Odins vs Rockerbox

  2. Lifesight

    Unified measurement

    Best for global retail, DTC and travel brands that want unified measurement with agent execution.

    Causal MMM, geo-based incrementality testing and attribution in one product, with AI agents that can push changes to the ad platforms within guardrails. Lifesight does not state its inference method publicly. Pricing on request.

    MMM plus experiments · Agentic · Global Odins vs Lifesight

  3. Funnel Measure

    Data platform

    Best for teams that want measurement on top of the data hub they already run.

    Stockholm's marketing data hub, with MMM, attribution and incrementality layered on its own data foundation and updated daily. The three methods cross-check each other instead of sitting in one model. Deepest across digital sources.

    Triangulated MMM · Product-led · Daily updates Odins vs Funnel

  4. Recast

    Advanced specialist

    Best for large, mostly US advertisers with analytics teams and daily data.

    A Bayesian MMM with time-varying parameters, weekly automated refreshes and out-of-sample backtesting. Built for Fortune 500 and large DTC budgets, with enterprise pricing that is not published.

    Bayesian MMM · Managed platform · Weekly refresh Odins vs Recast

  5. Google Meridian

    Open-source framework

    Best open-source option for teams with data scientists and geo-level data.

    Google's Bayesian framework, the most packaged of the open three, with the strongest budget optimizer and native geo-level modeling. You build and maintain everything yourself, and a 2026 academic review flags the default uniform priors as a misuse risk. Free license, paid for in staff and time.

    Bayesian framework · Self-hosted · Your team runs it Odins vs Meridian

Rockerbox facts come from rockerbox.com and DoubleVerify's public filings, read October 2026. Other provider facts come from each vendor's public documentation, read September 2026: lifesight.io, funnel.io, getrecast.com and developers.google.com/meridian. Odins is our platform.

At a glance

Which alternative for which need.

Start from the decision you need to make, then pick the tool.

Best fit
Why
Budget size and allocation in one model, offline media included
Best fitOdins
WhyOne Bayesian model per market, run for you, with attribution data and test results feeding it
Unified measurement with agent execution
Best fitLifesight
WhyMMM, geo tests and attribution in one product, with agents that act in the ad platforms
Measurement on top of an existing data hub
Best fitFunnel Measure
WhyMMM, attribution and incrementality on the Funnel data foundation, updated daily
Bayesian MMM at US enterprise scale
Best fitRecast
WhyTime-varying Bayesian MMM with weekly refreshes and out-of-sample backtesting
An in-house model built by your own data scientists
Best fitGoogle Meridian
WhyFree Bayesian framework with geo-level modeling; your team builds and runs it

Sources as listed above. Where a vendor does not state something publicly, we left it out.

When to look elsewhere

Four reasons to look for a Rockerbox alternative.

Rockerbox has a real data foundation and a serious testing practice, and for attribution-led measurement it belongs on the shortlist. These are the situations where a platform that starts from the model fits better.

  • Your main question is how big the budget should be, before which campaign gets the credit
  • TV, radio, OOH or print carry real budget and belong inside one model
  • Your markets have one national weekly series, so priors set with your team decide how much the model can tell
  • You want the model built, maintained and reviewed by the vendor's team as part of the subscription
Why Odins

One model for the budget, with your attribution data inside it.

Your attribution and test results do not go to waste with Odins. They inform the priors and are taken into the model, and the model answers the question attribution cannot: how much to spend in total, and where.

  • Priors set in 2 to 3 working sessions, from your spend history, digital saturation signals and structured interviews
  • Geo tests and lift tests you have run are taken into the model, and structured tests are proposed where it is uncertain
  • Offline media, pricing and promotions modeled next to digital, in one model per market
  • Data flows in daily; the model is retrained monthly, and you run scenarios and forecasts any time, in the platform or from Claude via the Odins MCP
  • A person reviews every recommendation, and forecasts are stored before actuals arrive

Channel contribution, 80% ranges

from the posterior
Search 14 to 16% optimize
Social 9 to 13% optimize
Display 2 to 9% test first

A tight range is a decision. A wide range is a test plan, with cost boundaries.

FAQ

Frequently asked questions.

What is the best alternative to Rockerbox?

It depends on the decision. For budget size and allocation across online and offline media, run for you, Odins is the alternative we would point to, and yes, it is ours. For unified measurement with agent execution, look at Lifesight. For measurement on top of a data hub you already run, Funnel Measure. For Bayesian MMM at US enterprise scale, Recast. For an in-house build with your own data scientists, Google Meridian.

How is Odins different from Rockerbox?

Rockerbox runs attribution, MMM and testing side by side on one data foundation. Odins builds one Bayesian model per market for budget size and allocation, with offline media and business drivers inside it, and a person reviews every recommendation. The full comparison, with sources, is on Odins vs Rockerbox.

Is Rockerbox still available after the DoubleVerify acquisition?

Yes. DoubleVerify closed the acquisition in March 2025, and Rockerbox is still sold under its own name, with attribution, MMM and incrementality testing listed as products on rockerbox.com.

Do we have to drop attribution to use a marketing mix model?

No. Attribution is useful for optimizing inside channels and campaigns. A marketing mix model sets the budget level and the split between channels, including the ones attribution struggles to see. Odins uses attribution and platform data to inform its priors.

Which Rockerbox alternative suits a brand with a lot of TV?

Odins models TV, radio, OOH and print in the same model as digital, next to pricing and promotions, with priors set with your team where the national data is thin. Whichever vendor you look at, ask to see how TV enters the model and how its effect is checked against actual sales.

What does a Rockerbox alternative cost?

Rockerbox does not publish pricing; its plans are built from the products you pick. Google Meridian is free to use and paid for in staff time. Odins is a subscription priced for the budget it optimizes, for companies with a marketing budget from EUR 1M to several hundred million a year, with the team included and no data science hires needed.

Talk to our team

Marketing spend, modeled like an investment.

A 30-minute walkthrough of the model, the priors and the verification, on your channels.

Book a demo