<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=9151474&amp;fmt=gif">
Skip to content

Compare

Odins vs ScanmarQED

ScanmarQED has worked with brands and media agencies on marketing analytics for more than 25 years, and through MMM Labs now runs Robyn, Meridian, PyMC and its own engines side by side. Odins takes a narrower route: one managed Bayesian model per market. Here is what each does well, and who should pick which.

Reviewed October 2026 · sources cited on this page

At a glance

Side by side.

The short version of the whole page. Details and sources below.

Odins
ScanmarQED
What it is
OdinsA managed marketing investment platform: data, model, recommendations and a team behind them
ScanmarQEDA marketing analytics software suite: strataQED and MMM Labs for MMM, Pulse Planner for scenarios, plus attribution, tracking and promotion tools
Methodology
OdinsBayesian MMM, one model per market, priors set with your team
ScanmarQEDstrataQED: genetic model search over OLS or Ridge regression. MMM Labs: Robyn, Meridian, PyMC and proprietary engines compared side by side
Who runs it
OdinsFully managed: data integration, model build and maintenance, and a person reviews every recommendation
ScanmarQEDYour choice: fully serviced, cooperative, or fully in-house with training and support
Cadence
OdinsDaily data flow, monthly retrain and reviewed recommendation; scenarios and forecasts any time
ScanmarQEDA model updater refreshes results as new data arrives; no fixed schedule stated
Segment
OdinsAdvertisers across industries, from EUR 1M to several hundred million a year in marketing budget
ScanmarQEDConsumer brands and the media agencies that plan for them; agencies can run multi-account modeling
Offline and drivers
OdinsTV, radio, OOH and print plus pricing and promotions in the same model
ScanmarQEDTV and out-of-home among measured channels; price, promotions, distribution and competition as typical inputs
Verification
OdinsForecasts stored before actuals arrive, checked at each monthly retrain, visible in the platform
ScanmarQEDHoldout testing in strataQED; MMM Labs compares engines on the same data and recommends a winner
AI assistants
OdinsQuestion the model from Claude via the Odins MCP
ScanmarQEDPulseQED connects to assistants such as Claude and ChatGPT via MCP
Cost
OdinsSubscription priced for the budget it optimizes
ScanmarQEDPricing not published; strataQED is licensed in modules
Time to value
OdinsFirst verified model in 4 to 6 weeks from kickoff, data collection and structuring included
ScanmarQEDExploratory models within hours of data integration, production models in days to a few weeks; two years of weekly data recommended

ScanmarQED facts: scanmarqed.com home, MMM, strataQED and about pages, mmmlabs.ai, pulseqed.ai and the MMM Labs acquisition announcement, read October 2026. ScanmarQED does not publish pricing.

The honest read

Credit first: ScanmarQED gives modelers real choice.

Few vendors let a team pick the engine, the operating model and how much of the work stays in-house. ScanmarQED does, and strataQED has been in development since 2006.

  • Multi-engine modeling: Robyn, Meridian, PyMC and proprietary engines on the same data, compared side by side
  • Built for agencies as well as brands, with multi-account modeling across many clients
  • Three operating models, from fully serviced to fully in-house with training
  • A wide suite around the model: scenario planning, attribution, promotion analytics and brand tracking
The difference

One answer from one model, with priors set with your team.

ScanmarQED gives your team a workbench, with a service team on hand if you want one. Odins gives you one Bayesian model per market with priors set with your team, retrained monthly on data that arrives daily, with scenarios and forecasts you run any time and a person reviewing each recommendation before you see it.

  • Priors set with your team in 2 to 3 working sessions, which is what carries a market with one national weekly series
  • Offline media and business drivers such as pricing and promotions in the same model as digital
  • Forecasts stored before actuals arrive and checked at each retrain, so the model's record is visible
  • A person reviews every recommendation, and when a channel is uncertain, the recommendation proposes a structured test

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.

The choice

Who should choose which.

Both measure online and offline media. The choice is about where the modeling work sits: with your team, or with ours.

Choose ScanmarQED if

  • You are a media agency running MMM for many clients and want one toolset across accounts
  • Your analysts want to build models themselves and compare engines such as Robyn, Meridian and PyMC
  • You want MMM, attribution, promotion analytics and brand tracking from one supplier

Choose Odins if

  • You want the budget answer, with data, model and review run for you
  • Your market has one national weekly series, where priors set with your team decide the quality of the model
  • You want verified forecasts and a person behind every recommendation, with scenarios you run yourself any time

The honest overlap

Both vendors model offline media, both offer a service team and both connect to AI assistants. Ask each one who chose the model behind a single recommendation, and how its forecasts compared with actuals.

FAQ

Frequently asked questions.

What is ScanmarQED?

A marketing analytics software company headquartered in the Netherlands, with offices in London, Prague and Chicago. Its MMM products are strataQED, a desktop modeling application first developed in 2006, and MMM Labs, a cloud platform that runs several engines. Around them sit Pulse Planner for scenarios, Roivenue for attribution and PulseQED as the flagship data and insights platform.

Is ScanmarQED Bayesian?

It depends on the engine. strataQED fits models with OLS or Ridge regression, chosen through a genetic model search. MMM Labs runs both frequentist and Bayesian engines, including Robyn, Meridian and PyMC. Odins is Bayesian end to end, with priors set with your team.

How much does ScanmarQED cost?

ScanmarQED does not publish pricing; strataQED is licensed in modules. Odins does not publish a price list either. 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.

How long does a first model take with ScanmarQED and with Odins?

ScanmarQED says exploratory models can be live within hours of data integration, and production-ready models take days to a few weeks. Odins delivers the first verified model in 4 to 6 weeks from kickoff, data collection and structuring included. Vendors who quote shorter timelines usually count from the day your data is already collected and prepared, and often do not offer data collection at all.

Can Odins use the incrementality tests we have already run?

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

What are the best alternatives to ScanmarQED?

It depends on what you need from the model. We compared five options, with sources and who each one fits, on a separate page: the best ScanmarQED alternatives. Odins is on the list, and we say so up front.

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