Blackwood Seven
The future belongs to: Holistic Measurement Models
MarketsMarketing Mix Modeling (MMM)
Published Oct 15, 2026
| Starting Price | Not public (custom) | Free (software); implementation costs vary | Not public (enterprise/custom) |
| Typical Fit | Organizations seeking a vendor-delivered unified measurement and optimization solution | Teams with data science resources wanting transparent, inspectable MMM code | Enterprises seeking integrated commercial analytics and MMM with services |
| Key Strength | Vendor-described granular measurement and scenario-simulation capabilities | Open-source transparency and ecosystem; adaptable framework | Enterprise services footprint and commercial-analytics breadth |
| Key Weakness | Limited public review coverage; limited public security documentation; opaque pricing | Requires technical implementation and in-house analytics capabilities | Opaque pricing; potentially heavyweight implementation and services scope |
Vendor positioning emphasizes Bayesian hierarchical modeling, inclusion of non-media factors, and an approach intended to address limitations of traditional regression-based MMM and cookie-based attribution.
Where competitors may excel:
Adoption trend considerations: Open-source frameworks and vendor ecosystems (e.g., Meridian) can increase competitive pressure on proprietary MMM vendors when buyers prioritize transparency and cost control.