Odins
Odins: A managed MMM platform for teams connecting broad media inputs to budget decisions. Ranked #25 of 31 in Media Mix Modeling Software by our editors (6.9/10); pricing: Pricing on request; best for teams needing broad media inputs and warehouse exports.
At a glance
- Editor score6.9 / 10
- PricingPricing on request
- Best forTeams needing broad media inputs and warehouse exports
- Modeling approachBayesian
- Founded2023 · Oslo, Norway
- Facts checked13 Oct 2026
Where it wins
- Models online and offline channels with confidence ranges, saturation and lag.
- Compares budget scenarios and recommends channel allocation.
- Exports data to BigQuery, Snowflake, Redshift and Databricks.
Where it doesn't
- Pricing is available through sales rather than published plans.
- Monthly retraining may not suit teams needing more frequent refreshes.
- The managed service may be more than teams seeking self-serve MMM need.
Our verdict on Odins
Odins is a fully managed Bayesian marketing mix modeling platform for mid-market and enterprise companies making multi-channel investment decisions. It combines online and offline marketing inputs with sales or revenue outcomes, then reports incremental channel contribution and marginal ROAS. The web platform is intended for teams that need to compare investment across channels, including both digital and offline media, rather than evaluate campaigns in isolation. Odins says it is a fit for companies with annual marketing budgets above €1M and describes customers typically investing NOK 50M or more.
The modeling and planning workflow is broad: models include confidence ranges, saturation curves and adstock/time-lag effects, while scenario planning supports side-by-side budget comparisons. The service also offers channel allocation recommendations and structured tests for uncertain channels; recommendations are reviewed by the Odins team. Models are retrained monthly. This mix makes Odins relevant where marketing leaders want a recurring view of contribution and marginal returns, but the scheduled cadence may not fit teams that need very frequent model updates or a lightweight, self-serve analysis tool.
The integration scope spans Google Ads, Meta, TikTok, Snapchat, LinkedIn, Pinterest, programmatic platforms and DSPs, alongside CRM, e-commerce and ERP systems and offline media such as TV, radio, out-of-home and print. The vendor lists 600 integrations and warehouse exports to BigQuery, Snowflake, Redshift and Databricks. Odins is cloud-deployed and offers email support. According to its pricing approach, prospective customers are directed to book a demo rather than choose a published plan. Teams seeking managed modeling across a wide media mix and warehouse exports should consider it; buyers who need transparent self-serve pricing or more frequent retraining may prefer another approach.
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Odins pricing
Odins fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Modeling approach | Bayesian |
| Budget optimization | Yes |
| Incrementality analysis | Yes |
| Model refresh | Scheduled |
| Data connectors | Not verified |
| Managed modeling | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Support | |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 600+ integrations: Google Ads, Meta, TikTok, Snapchat, LinkedIn, Pinterest … See all → |
| Pricing | Pricing on request |
| Website | odins.ai |
| Facts checked | 13 Oct 2026 |
Odins integrations
Odins lists 600+ integrations on its own site — the 18 named here are the ones its pages call out.
- Google Ads
- Meta
- TikTok
- Snapchat
- programmatic platforms
- DSPs
- CRM systems
- e-commerce platforms
- ERP systems
- TV
- radio
- out-of-home
- events
- sponsorships
- influencer data
Alternatives to Odins
- Adobe Marketing Campaign Analytics (formerly Adobe Mix Modeler)Combines mix modeling and attribution with budget scenarios and in-flight optimization.9.3
- Circana Liquid MixA retail-informed MMM tool for channel impact, budget scenarios, and forecasts.9.2
- Google MeridianA free, Python-based framework for teams equipped to run Bayesian media mix models.9.1
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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