Odins review

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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.

Odins pros and cons

• 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.

Odins fact sheet, pricing and score →

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Last updated 20 Oct 2026 · How we research and update