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Alternatives

The best Funnel Measure alternatives.

Looking past Funnel Measure for marketing mix modeling? Funnel is a strong data hub, and Measure adds MMM, attribution and incrementality on top of it as a priced add-on, with offline media in its custom-priced plan. If annual budget decisions ride on the model, the alternative we would point to is Odins: one Bayesian model per market with offline media in it to the spot, priors set with your team, every forecast checked against actuals, in one fixed subscription. Odins is ours, so we say it up front; four more options follow, sorted by who they fit.

Reviewed October 2026 · sources cited on this page

The alternatives

Five alternatives, sorted by fit.

Funnel is a marketing data hub with 600+ connectors, and Funnel Measure is its measurement add-on: MMM, multi-touch attribution and incrementality testing, updated daily, with offline media in the Advanced Measurement plan. This page is about that measurement layer. These five put the model first.

  1. Odins

    Managed Bayesian platform That's us

    Best Funnel Measure alternative when budget decisions need one verified model with offline media and the data work included.

    Odins is a managed marketing investment platform. One Bayesian model per market with every channel in it: TV, radio, OOH and print structured to the spot by the Odins team, priors set with your team in 2 to 3 working sessions, and your tests taken in as priors. It answers the total budget question as well as allocation, every result with a confidence range, and forecasts are stored before the actuals arrive so you can check the record. Data flows in daily; the model is retrained monthly with an analyst-reviewed recommendation, and scenarios and forecasts run any time, in the platform or from your own Claude, ChatGPT or Copilot through the Odins MCP. One fixed annual subscription covers the integrations, the model and unlimited users. If you already run Funnel, keep it: Odins can take structured data from the hub or connect to the sources directly. Disclosure: this is our platform.

    Bayesian MMM · Fully managed · Daily data, monthly retrain Odins vs Funnel
  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. Dema

    Commerce intelligence

    Best for pure-play ecommerce brands that want profit analytics and media measurement together.

    Stockholm-built commerce intelligence. The MMM runs on contribution margin and is recalibrated by geo-based incrementality tests. Built around ecommerce paid media, with fashion brands like Acne Studios and Axel Arigato on the customer list.

    MMM plus geo tests · Ecommerce · Continuous Odins vs Dema
  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 free option for teams with data scientists and geo-level data.

    Google's open-source Bayesian framework, with the strongest budget optimizer of the open options. The license is free. You build the data pipelines, set the priors, and run, validate and maintain the model yourself. A data hub like Funnel covers part of the pipeline work.

    Bayesian framework · Self-hosted · Your team runs it Meridian: build vs buy

Provider facts come from each vendor's own public documentation. Funnel: funnel.io product, pricing, Funnel MCP and about pages, the Funnel Measure glossary and plan articles on help.funnel.io, and Funnel's MMM blog posts, read October 2026. Lifesight, Dema, Recast and Google Meridian: lifesight.io, dema.ai, getrecast.com and Google's Meridian documentation. Open-source assessment per Runge and Pauwels (2026), SSRN 6317979. Odins is our platform.

At a glance

Which alternative for which need.

Start from what your stack is missing, not the feature list.

Best fit
Why
One verified model for budget decisions, offline included
Best fitOdins
WhyOne Bayesian model per market, run by our team, retrained monthly on daily data with forecasts checked against actuals; scenarios any time
Unified measurement with agent execution
Best fitLifesight
WhyMMM, geo tests and attribution in one product, with agents that act in the ad platforms
Ecommerce profit and media in one tool
Best fitDema
WhyMMM on contribution margin, recalibrated by geo tests
Weekly refresh at US enterprise scale
Best fitRecast
WhyTime-varying Bayesian MMM with automated backtesting, built for large budgets and daily data
Full control and no license fee
Best fitGoogle Meridian
WhyOpen-source Bayesian framework that your own data scientists build and run

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 Funnel Measure alternative.

Funnel earned its place as a data hub, and Measure is a serious MMM product on it. These are the situations where a model-first platform fits better.

  • Measure is an add-on on the Business and Enterprise tiers, with Digital Measurement priced by average monthly ad spend on top of the Data Hub tiers and flexpoints, so the measurement cost moves with spend
  • Offline media requires the custom-priced Advanced Measurement plan and is usually ingested by CSV upload or custom connector, per Funnel's Measure glossary
  • Recommendations arrive as automated daily AI insights; a person reviewing each recommendation is not part of the described product
  • Validation is cross-checking MMM against MTA and incrementality tests; a stored forecast-vs-actuals record, confidence ranges and total budget sizing are not described on their pages
Why Odins

Keep the hub. Add the decision layer.

This is rarely either-or. Funnel collects and cleans the data. Odins models it, verifies the forecasts and hands you a reviewed recommendation. The two coexist well.

  • One fixed annual subscription with the integrations, the model build, monthly retrains, analyst-reviewed recommendations and unlimited users included; no fee that moves with spend, users or connectors
  • Offline media structured to the spot by the Odins team, in the same hierarchy as digital, with every integration set up and monitored for you
  • Priors set with your team in 2 to 3 working sessions from spend history, digital saturation signals and structured interviews; your lift and geo tests enter as priors
  • Budget size as well as allocation, every result with a confidence range; scenarios and forecasts any time, in the platform or from your own Claude, ChatGPT or Copilot via the Odins MCP
  • Forecasts stored before actuals arrive and shown week by week against them, with every older model kept; accuracy target 85 to 90%+ in steady state

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 Funnel Measure?

It depends on what your stack is missing. If budget decisions need one verified model with offline media in it, Odins is the alternative we would point to, and yes, it is ours. For unified measurement with agents, look at Lifesight. For ecommerce profit analytics, Dema. For US enterprise scale, Recast. With data scientists in-house, Google Meridian.

Is this a list of alternatives to Funnel as a data connector?

No. This page covers Funnel Measure, the MMM, attribution and incrementality product. Funnel the data hub has its own set of alternatives, and we do not cover them here. Odins works with Funnel as a data source.

Do we have to replace Funnel to use another MMM?

No. Odins can read structured marketing data from Funnel or connect to the sources directly, whichever is cleaner for you. A well-run data hub usually shortens onboarding, and you keep the reporting your team already relies on.

How is Odins different from Funnel Measure?

Funnel Measure triangulates: MMM is calibrated with multi-touch attribution and incrementality tests, models update daily, insights are automated, and offline media sits in the custom-priced Advanced Measurement plan. Odins runs one Bayesian model per market with offline media structured to the spot, sets the priors with your team, has an analyst review each monthly recommendation and stores every forecast to check against actuals, all in one fixed subscription. Data flows in daily and scenarios and forecasts run any time. The full side-by-side is on Odins vs Funnel.

Is Funnel Measure's MMM Bayesian?

Funnel's product pages describe triangulation without naming an inference method. Their dev blog describes an automated search across model configurations built on base models including Orbit, Numpyro and scikit-learn, and a June 2026 blog post describes partial pooling drawn from hierarchical Bayesian modeling with informative priors from platform attribution and test results. Odins is Bayesian end to end on its own stack, with priors set together with you.

What does a Funnel Measure alternative cost?

Funnel publishes a price list for the Data Hub, in three tiers plus flexpoints, and Measure is an add-on on Business and Enterprise: Digital Measurement priced by average monthly ad spend bracket, Advanced Measurement custom-priced on ad spend and setup. Most other platforms on this list price on request, ours included. Odins is a fixed annual subscription priced for the budget it optimizes, for companies with a marketing budget from EUR 1M to several hundred million a year, with the integrations, the model, reviewed recommendations and unlimited users included. The open-source frameworks have no license fee and cost staff time instead.

Talk to our team

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