Recast
Recast: Bayesian marketing measurement and planning with experiments, optimization, and API access. Ranked #9 of 31 in Media Mix Modeling Software by our editors (7.9/10); pricing: Pricing on request; best for mid-market teams needing Bayesian planning and APIs.
At a glance
- Editor score7.9 / 10
- PricingPricing on request
- Best forMid-market teams needing Bayesian planning and APIs
- Modeling approachBayesian
- Facts checked13 Oct 2026
Where it wins
- Models online and offline incrementality, including geo-based lift experiments
- Forecasts revenue and conversions with confidence intervals
- Optimizes constrained budgets and exposes planning tools through APIs
Where it doesn't
- Requires a sales conversation to explore purchasing
- Model setup and validation involve Recast's team or certified operators
- Focuses on marketing measurement and planning rather than a broad analytics suite
Our verdict on Recast
Recast is a cloud-based marketing planning and analysis product for marketing, data science, and finance teams. Its proprietary Bayesian media mix model estimates the incremental impact of online and offline paid media, and the product adds forecasting, budget planning, and geo-based experiments. Mid-market and enterprise teams that need a managed modeling process and API access are the clearest fit; teams looking for a self-serve or open-source modeling tool should look elsewhere.
The modeling work extends beyond channel-level estimates: Recast describes time-varying channel performance, saturation curves, promotion effects, and multi-stage modeling. Teams can forecast revenue and conversions with confidence intervals, compare spend and promotion scenarios, and optimize budgets with channel-level and total-spend constraints. Geo-based lift experiment design and analysis complements the model with incrementality measurement. Scheduled refreshes, status tracking, and on-demand refreshes support ongoing planning. This breadth is useful for organizations that want measurement, forecasting, and allocation in one workflow, though model setup and validation are collaborative with Recast's team or certified operators rather than entirely self-service.
Recast runs in the cloud and offers web and API access. Data can be exchanged through AWS S3, SFTP, Google Drive, Snowflake, Postgres, and Amazon Redshift; model outputs and planning tools are also accessible through APIs. The product lists SOC 2 support and provides email and documentation support. Purchasing requires contacting sales, so organizations seeking transparent, self-serve plan selection may prefer an alternative. Recast is a stronger match for teams prepared to work with a managed modeling process and integrate planning outputs into their systems.
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Recast pricing
Recast 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 |
| Compliance & security | SOC 2 |
| Support | Email, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: AWS S3, SFTP, Google Drive, Snowflake, Postgres, Amazon Redshift |
| Pricing | Pricing on request |
| Website | getrecast.com |
| Facts checked | 13 Oct 2026 |
Recast integrations
Recast lists 6 integrations on its own site.
- AWS S3
- SFTP
- Google Drive
- Snowflake
- Postgres
- Amazon Redshift
Alternatives to Recast
- 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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