MassTer
MassTer: No-code MMM connects model validation, channel analysis, and budget scenarios. Ranked #18 of 31 in Media Mix Modeling Software by our editors (7.6/10); pricing: Paid; best for mid-market and enterprise teams wanting no-code MMM.
At a glance
- Editor score7.6 / 10
- PricingPaid
- Best forMid-market and enterprise teams wanting no-code MMM
- Free planNo
- Paid from$15,000/yr
- Modeling approachHybrid
- Facts checked13 Oct 2026
Where it wins
- Build and validate nested, multiplicative, and hierarchical models without code
- Compare scenarios and optimise budgets with channel-level constraints
- Refresh models continuously as new data arrives
Where it doesn't
- Mind starts at $1,375 per month, with no free plan
- Pricing for Studio and PACE is not published on the listed pages
- 150 data sources are described for PACE, not as a plan connector quota
Our verdict on MassTer
MassTer is MASS Analytics’ cloud marketing measurement platform for teams building marketing mix models and translating results into budget decisions. Its modules cover always-on measurement, no-code model building and validation, and scenario planning and budget optimisation. The listed company-size fit is mid-market and enterprise, making it a better fit for teams with ongoing measurement needs than for buyers seeking a lightweight, free tool.
The modeling scope is broad: teams can work with nested, multiplicative, and hierarchical models, analyze channel synergy, and use in-sample, out-of-sample, and cross-validation methods. Dashboards and reports present model results, while continuous refresh updates models as new data arrives. Budget allocation supports channel-level constraints, and scenario comparison supports what-if planning. This combination suits teams that need to move from model evaluation to budget decisions; buyers seeking only a basic reporting layer may not need the full scope.
Published plans show MassTer Mind at $1,375 per month or $15,000 per year, with unlimited scenarios, AI optimisation, side-by-side comparisons, leadership reports, and native support for MassTer and Meridian models. Maia is listed at $2,750 per month or $30,000 per year, with unlimited reporting units and 150 Maia Tokens across five capabilities. Studio and PACE do not have published prices on the listed pages. Integrations include Snowflake, Databricks, Google Cloud, BigQuery, major advertising platforms, and several AI services; the vendor describes PACE as connecting to over 150 data sources, not as a quota on the entry plan. Choose MassTer if no-code MMM, optimization, and refresh are central requirements; consider alternatives if you need a free option or transparent pricing for the modeling and always-on modules.
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MassTer pricing
All 4 MassTer plans and prices →
MassTer fact sheet
| Free plan | No |
|---|---|
| Paid from | $15,000/yr |
| Modeling approach | Hybrid |
| Budget optimization | Yes |
| Incrementality analysis | Yes |
| Model refresh | Continuous |
| Data connectors | Not verified |
| Managed modeling | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Support | Docs, Tickets |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 150+ integrations: Snowflake, Databricks, Google Cloud, BigQuery, Google Ads, Meta … |
| Pricing | Paid (source) |
| Website | mass-analytics.com |
| Facts checked | 13 Oct 2026 |
MassTer integrations
MassTer lists 150+ integrations on its own site — the 13 named here are the ones its pages call out.
- Snowflake
- Databricks
- Google Cloud
- BigQuery
- Google Ads
- Meta
- Amazon Ads
- TikTok
- Meridian
- OpenAI
- Microsoft Copilot
- Anthropic
- Google Gemini
Alternatives to MassTer
- 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
See all MassTer alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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