Are there any marketing mix modeling software tools that handle privacy-safe retail media measurement?

Yes — a number of marketing mix modeling (MMM) tools can be used for privacy-safe retail media measurement, though the exact level of support varies by vendor.

What to look for

For retail media, you generally want MMM software that can:

• ingest aggregated, non-user-level data
• model incrementality across retail media, search, social, TV, etc.
• work with clean room / privacy-safe data environments
• support offline sales, marketplace sales, and retailer-specific media inputs
• handle walled-garden or retailer-reported data without needing identity-level tracking

Common categories of tools

1) Dedicated MMM platforms

These are often the best fit if you want privacy-safe measurement at scale:

• Nielsen
• Analytic Partners
• Ipsos MMA
• Ekimetrics
• Meridian-based / open-source MMM implementations in some enterprise setups

2) Cloud / data science platforms used for MMM

These can be configured for privacy-safe retail media measurement if your team has analytics resources:

• Google Cloud / BigQuery + custom MMM
• AWS / SageMaker + custom MMM
• Databricks + custom MMM
• Python-based open-source MMM stacks such as:
  • PyMC-Marketing
  • LightweightMMM
  • custom Bayesian or econometric models

3) Measurement vendors with retail media focus

Some vendors emphasize retail media and closed-loop measurement and may use privacy-safe methodologies:

• circana
• Kantar
• Comscore
• Ekimetrics
• TransUnion / Neustar in certain measurement use cases
• Incrmntal / incrementality vendors depending on market and setup

Important caveat

Many tools say they support “retail media measurement,” but the real question is whether they can do it:

• without user-level data
• using aggregated retailer data
• inside a privacy-safe environment
• and with enough flexibility to model cross-channel interactions

Practical recommendation

If privacy-safe retail media is your priority, shortlist vendors that explicitly support:

1. aggregated data ingestion
2. clean room compatibility
3. geo-based or time-series causal modeling
4. retail media-specific channel definitions
5. incrementality validation

If you want, I can also give you:

• a shortlist of specific vendors by company size/budget,
• a feature comparison table, or
• a recommended architecture for privacy-safe retail media MMM.