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Alternatives

The best Nepa alternatives.

Looking past Nepa for marketing mix modeling? If the question is how much to spend and where, with offline media and business drivers in the model and the model run for you, the strongest alternative is Odins. 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.

Nepa is a Stockholm-based marketing research company that combines brand tracking, campaign measurement and a continuous marketing mix model. These five take a different route. The best-for lines say which one suits you.

  1. Odins

    Managed Bayesian platform That's us

    Best Nepa alternative for advertisers who want a managed budget model with the method and the verification in the open.

    Odins is a managed marketing investment platform. Nepa starts from consumer research and connects it to sales. Odins starts from the budget decision: one Bayesian model per market, with TV, radio, OOH and print next to digital, pricing and promotions. Priors are set with your team, data flows in daily, and scenarios and forecasts are yours to run any time. The model is retrained monthly, a person reviews every recommendation, and forecasts are checked against actuals at each retrain. Disclosure: this is our platform.

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

  2. Kantar LIFT ROI

    Enterprise incumbent

    Best for global enterprises that want effectiveness, brand and creative science together.

    The largest measurement company's MMM, with brand equity and creative quality folded into the analysis and the Bayesian Hamilton AI engine in the toolkit. A 2025 Gartner Visionary. An institution more than a product, at institution scale.

    Mixed methods, Bayesian engine included · Platform plus consulting · Enterprise Odins vs Kantar

  3. Analytic Partners

    Enterprise incumbent

    Best for billion-dollar advertisers running global commercial analytics programs.

    The 2025 Gartner Magic Quadrant Leader, 25 years into the category, with the ROI Genome benchmark layer and published research on halo effects few can match. Software plus consulting, scoped and priced for the largest advertisers.

    Proprietary MMM · Software plus consulting · Enterprise Odins vs Analytic Partners

  4. Mutinex

    Enterprise platform

    Best for multi-brand enterprises that need one MMM hierarchy across markets.

    GrowthOS packages enterprise MMM as cleanly as anyone, with real scale: more than 100 global brands and over 13 billion dollars in commercial decisions, by Mutinex's count. Run from Sydney, Melbourne and New York.

    MMM platform · Managed · Always-on Odins vs Mutinex

  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

Nepa facts come from nepa.com, read October 2026. Other provider facts come from each vendor's public documentation, read September 2026: kantar.com, analyticpartners.com, mutinex.co 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, and from who will run the model.

Best fit
Why
Budget size and allocation with the method in the open
Best fitOdins
WhyOne managed Bayesian model per market, offline media and drivers inside it, forecasts checked at every retrain
Brand, creative and effectiveness from one global house
Best fitKantar LIFT ROI
WhyMMM with brand equity and creative quality folded in, and the Bayesian Hamilton AI engine in the toolkit
Global commercial analytics at the largest budgets
Best fitAnalytic Partners
WhySoftware plus consulting, with the ROI Genome benchmark layer
One MMM hierarchy across many brands and markets
Best fitMutinex
WhyGrowthOS, with campaign-varying modeling at enterprise scale
Building your own model in-house
Best fitGoogle Meridian
WhyA free Bayesian framework with geo-level modeling, run by your own data scientists

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 Nepa alternative.

Nepa connects brand research to sales, and if brand tracking is the heart of your program it belongs on the shortlist. These are the situations where another route fits better.

  • The budget decision comes first, and brand research is already covered elsewhere
  • You want the statistical method and the priors stated, along with the outputs
  • You want forecasts stored before actuals arrive and checked at every retrain
  • You need one model across many markets and brands, or want to build it in-house
Why Odins

The budget decision, in one checked model.

Odins is MMM, run for you. The model covers online and offline media and business drivers, and its record is there to inspect.

  • 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
  • Data flows in daily and scenarios and forecasts run any time, in the platform or from Claude via the Odins MCP; the model is retrained monthly with a reviewed recommendation
  • Forecasts stored before actuals arrive, so the model's record is there to inspect
  • Results from tests you have run are taken into the model, and a structured test is proposed when a channel is uncertain

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 Nepa?

It depends on the decision you need to make. For budget size and allocation across online and offline media, with the model run for you and checked against actuals, Odins is the alternative we would point to, and yes, it is ours. For brand, creative and effectiveness from one global house, Kantar LIFT ROI. For global programs at the largest budgets, Analytic Partners. For one MMM hierarchy across many brands, Mutinex. For building in-house with data scientists, Google Meridian.

How is Odins different from Nepa?

Nepa is a research company that connects brand tracking and campaign research to a continuous marketing mix model. Odins is built for the budget decision: one Bayesian model per market with offline media, pricing and promotions inside it, priors set with your team and forecasts checked at every retrain. The full comparison, with sources, is on Odins vs Nepa.

Is there a Nepa alternative that also does brand research?

Kantar is the closest on this list: a research company whose MMM folds in brand equity and creative quality. Odins, Analytic Partners, Mutinex and Meridian focus on the marketing mix model, and a brand tracker can run next to any of them.

Can Odins use the lift tests and geo tests we have already run?

Yes. Results from lift tests and geo tests are taken into the model. Where the data cannot resolve a channel, we propose a structured test, with the expected cost stated up front.

What does a Nepa alternative cost?

Nepa lists MMM packages on its site, from a self-service dashboard tier to enterprise on request. Most providers on this list, ours included, do not publish pricing, and Meridian is free to license and paid for in staff and 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.

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