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Alternatives

The best Alviss AI alternatives.

Looking past Alviss AI for Bayesian marketing mix modeling? If the question is how much to spend and where, with the data work and the model handled for you, the strongest alternative is Odins: data flows in daily, a reviewed recommendation arrives every month, and you run scenarios and forecasts any time. 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.

Alviss AI is a Bayesian modeling platform from Copenhagen, used for marketing mix modeling and for questions such as demand and churn, with self-service to full-service options. These five take a different route. The best-for lines say which one suits you.

  1. Odins

    Managed Bayesian platform That's us

    Best Alviss AI alternative for advertisers who want a Bayesian budget model run for them, end to end.

    Odins is a managed marketing investment platform. Alviss gives you a Bayesian modeling platform for many business questions, run by your team or theirs. Odins is built for the budget decision: one Bayesian model per market, with TV, radio, OOH and print next to digital, pricing and promotions. Our team collects the data, sets the priors with yours and reviews every recommendation. Data flows in daily, scenarios and forecasts are yours any time, and each monthly retrain is checked against stored forecasts. Disclosure: this is our platform.

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

  2. 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

  3. 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

  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

Alviss AI facts come from alviss.io, read October 2026. Other provider facts come from each vendor's public documentation, read September 2026: pymc-marketing docs, developers.google.com/meridian, getrecast.com and funnel.io. Odins is our platform.

At a glance

Which alternative for which need.

Start from who should run the model, and how much of it you want to build yourself.

Best fit
Why
A Bayesian budget model run for you
Best fitOdins
WhyOne managed Bayesian model per market, priors set with your team, checked at every retrain
Maximum flexibility for Bayesian experts
Best fitPyMC-Marketing
WhyAn open framework with custom priors and full hierarchies, built and run by your team
Building in-house with geo-level data
Best fitGoogle Meridian
WhyA free Bayesian framework with a strong budget optimizer and native geo modeling
Large advertisers with daily data and analytics teams
Best fitRecast
WhyTime-varying Bayesian MMM with weekly refreshes and out-of-sample backtesting
Measurement on top of a 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 an Alviss AI alternative.

Alviss brings Bayesian modeling, uncertainty estimates and published prices to a broad set of business questions. These are the situations where another route fits better.

  • Marketing budget size and allocation is the question that matters most
  • You want data collection and structuring handled for you, offline media included
  • You want forecasts stored before actuals arrive and checked at every retrain
  • You have Bayesian skills in-house and want an open framework you fully control
Why Odins

Bayesian, and run end to end for you.

Odins is MMM, run for you: the data work, the priors, the model and a reviewed recommendation, with scenarios and forecasts open to your team any time.

  • One Bayesian model per market, with TV, radio, OOH and print next to digital, pricing and promotions
  • Priors set in 2 to 3 working sessions, from your spend history, digital saturation signals and structured interviews
  • Results from lift and geo tests you have run are taken into the model, and a structured test is proposed when a channel is uncertain
  • Data flows in daily and the model is retrained monthly, with forecasts stored before actuals arrive and checked at each retrain
  • Scenarios and forecasts you run yourself any time, in the platform or from Claude via the Odins MCP

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 Alviss AI?

It depends on who should run the model. For a Bayesian budget model run for you end to end, with offline media and business drivers inside it, Odins is the alternative we would point to, and yes, it is ours. For maximum flexibility with Bayesian skills in-house, PyMC-Marketing. For building in-house with geo-level data, Google Meridian. For large advertisers with daily data, Recast. For measurement on top of a data hub, Funnel Measure.

How is Odins different from Alviss AI?

Both are Bayesian. Alviss is a modeling platform for many business questions, with self-service, hybrid and full-service options. Odins is built for the marketing budget decision, with data collection, priors set with your team, data flowing in daily, a monthly retrain checked against stored forecasts and a person behind every recommendation. The full comparison, with sources, is on Odins vs Alviss AI.

Is there an open-source alternative to Alviss AI?

Yes. PyMC-Marketing and Google Meridian are both Bayesian and free to license. Your own team builds and maintains the model, so the cost is staff and time. PyMC-Marketing is the most flexible, and Meridian is the more packaged of the two.

Do we need a data scientist to use a Bayesian marketing mix model?

To build one yourself on an open framework, yes. With Odins, no: our team handles the data, the model and the review of every recommendation, and your team runs scenarios and forecasts any time, in the platform or from Claude via the Odins MCP.

What does an Alviss AI alternative cost?

Alviss publishes monthly fees from EUR 1,250 to EUR 2,950. PyMC-Marketing and Meridian are free to license and paid for in staff and time, and Recast does not publish its enterprise pricing. 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.

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