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Alternatives

The best MASS Analytics alternatives.

Looking past MASS Analytics for marketing mix modeling? MASS Analytics sells the MassTer MMM suite with services and a path to run it in-house. If you want budget size and allocation answered by a managed Bayesian model, with offline media inside it and no MMM team to build, the strongest alternative is Odins. Odins is ours, so we say it up front. Four more options follow, sorted by who they fit.

Book a demo See the alternatives

Reviewed October 2026 · sources cited on this page

The alternatives

Five alternatives, sorted by fit.

MASS Analytics is a London-based MMM software and services firm, founded in 2016, whose Walk, Run, Fly model moves clients from managed MMM to in-house. These five take a different route. The best-for lines say which one suits you.

  1. Odins

    Managed Bayesian platform That's us

    Best MASS Analytics alternative for advertisers who want the budget decision without building an MMM team.

    Odins is a managed marketing investment platform. Our team does the data integration and structuring, builds and maintains one Bayesian model per market, and reviews every recommendation. TV, radio, OOH and print sit in the same model as digital, next to pricing and promotions, and priors are set with your team in 2 to 3 working sessions. Data flows in daily and scenarios and forecasts are yours to run any time; the model is retrained monthly. Disclosure: this is our platform.

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

  2. 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

  3. PyMC-Marketing

    Open-source framework

    Best open-source option for maximum flexibility, if you have the Bayesian skills.

    The most customizable of the open frameworks and the closest to our own stack: custom priors, full hierarchies, user-defined everything. The same review estimates up to two weeks for a novice's first full run, and budget optimization requires custom code. Excellent for capable teams, demanding for everyone else.

    Bayesian framework · Self-hosted · Steepest learning curve Odins vs PyMC-Marketing

  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. 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

MASS Analytics facts come from mass-analytics.com, read October 2026. Other provider facts come from each vendor's public documentation, read September 2026: developers.google.com/meridian, the PyMC-Marketing docs, getrecast.com and funnel.io. Odins is our platform.

At a glance

Which alternative for which need.

Start from the decision you need made, then pick the provider built around it.

Best fit
Why
Budget size and allocation without building an MMM team
Best fitOdins
WhyManaged Bayesian model per market with offline media inside it, priors set with your team and every recommendation reviewed
In-house MMM with data scientists and geo-level data
Best fitGoogle Meridian
WhyFree Bayesian framework with a strong budget optimizer; your team builds and runs it
Maximum flexibility for a team with Bayesian skills
Best fitPyMC-Marketing
WhyCustom priors and full hierarchies, with custom code for budget optimization
Weekly refresh at US enterprise scale
Best fitRecast
WhyTime-varying Bayesian MMM with automated backtesting, built for large budgets and daily data
Measurement on top of an existing data hub
Best fitFunnel Measure
WhyMMM, attribution and incrementality on the Funnel data foundation, updated daily

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 MASS Analytics alternative.

MASS Analytics offers warehouse-native, always-on MMM and real training for in-house teams. These are the situations where a different setup fits better.

  • You want the budget answer and have no plan to build and staff an MMM team
  • TV, radio, OOH or print carry real budget and need to sit inside the model
  • You sell in markets with one national weekly series, where priors set with your team shape the answer
  • You want a person to review each recommendation, and forecasts checked against actuals
Why Odins

Your team on the decision, ours on the model.

Odins is MMM run for you. Data flows in daily and scenarios and forecasts run any time, in the platform or from Claude via the Odins MCP; only the model retrain and the reviewed recommendation are monthly.

  • Priors set in 2 to 3 working sessions, from your spend history, digital saturation signals and structured interviews
  • Data integration and structuring, model build and maintenance done by our team
  • Results from lift tests and geo tests you have run are taken into the model, and a structured test, often a pulse test, is proposed when a channel is uncertain
  • Budget size and allocation with confidence ranges; bidding stays with the ad platforms
  • Forecasts stored before actuals arrive, so the model's record is there to inspect

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 MASS Analytics?

It depends on who will run the model. For budget size and allocation across online and offline media, with the model run for you, Odins is the alternative we would point to, and yes, it is ours. For MMM built in-house by data scientists with geo-level data, look at Google Meridian. For maximum flexibility with Bayesian skills in the team, PyMC-Marketing. For weekly refresh at US enterprise scale, Recast. For measurement on top of a data hub you already run, Funnel Measure.

How is Odins different from MASS Analytics?

MASS Analytics sells MMM software with services and a path for your team to run it in-house. Odins is a managed platform for one decision, budget size and allocation: our team runs the model and reviews every recommendation, and forecasts are checked against actuals. Read the full comparison: Odins vs MASS Analytics.

Is there a free alternative to MASS Analytics?

Yes. Google Meridian and PyMC-Marketing are free Bayesian frameworks, and Meta Robyn is a free frequentist one. You pay in staff and time instead: your team builds, maintains and explains the model.

What does a MASS Analytics alternative cost?

MASS Analytics does not publish pricing, and neither do most providers on this list, ours included. 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.

Can we move from MASS Analytics to Odins with the data we have?

Yes. Your spend history informs the priors, and results from tests you have run are taken into the model. The first verified model arrives 4 to 6 weeks from kickoff, data collection and structuring included.

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