Report:

Magic Quadrant for Marketing Mix Modeling Solutions

Top Vendor Products for Marketing Mix Modeling Solutions in 2025

• Analytic Partners
• Ipsos MMA
• TransUnion

Marketing Mix Modeling Solutions Vendor Product Comparisons 2025

• Analytic Partners - Leader
  

  Pros:

  • Comprehensive platform capabilities: Analytic Partners' software provides a robust set of features. GPS Enterprise includes a set of capabilities not offered by many vendors within this research, such as the ability to model multiple simultaneous KPIs, scenario plan against multiple objectives, and monitor media plan adherence.
  • Enterprise enablement: Analytic Partners delivers strong out-of-the-box capabilities that are tailored to users outside the marketing function. These include tailored dashboards, training material, and the ability to quantify impacts from inventory and footprint. Among providers in this research, it saw the highest percentage of users and buyers outside of marketing.
  • Self-service, AI-driven insights: Analytic Partners' Ask Genome feature is a containerized generative AI capability that enables marketers to ask questions and discover insights, trends, and best practices for their marketing performance. It allows marketers to more easily derive insights from its ROI Genome and GPS Enterprise platforms, while the containerization ensures data privacy and compliance.

  Cons:

  • High implementation costs: Analytic Partners' MMM solution costs are among the highest in this research. It works with large, complex global organizations that require additional effort. Prospective clients should assess the incremental value of its differentiators and the alignment with their intended use cases.
  • Lack of in-house experience: Analytic Partners has not deployed an in-house MMM for a client. It does offer this capability, but its clients rarely consider it. Prospective clients interested in in-housing should also consider other vendors that provide this capability for comparison.
  • High learning curve: Compared to others in this evaluation, GPS Enterprise's user interface may be intimidating for nontechnical or novice users. Prospective clients should ensure critical users become proficient in the platform prior to initial model delivery.


• Ipsos MMA - Leader
  

  Pros:

  • High customer retention: Ipsos MMA has the highest gross customer retention rate and average customer tenure among providers in this research. Many clients form multiyear agreements with Ipsos MMA.
  • Time commitment transparency: Ipsos MMA has built customer roles and activities into its governance model for MMM implementation and utilization. It sets specific expectations for customer time commitments and ramps commitments as programs transition to 'run' mode.
  • Comprehensive impact analysis: Activate enables marketers to easily balance multiple KPIs (such as profit and new customer acquisition) when optimizing media plans. Marketers can quickly understand the short-term and long-term impacts of marketing as well as halo effects across brands, geographies, and lines of business.

  Cons:

  • Platform usability challenges: Some workflows and visualizations within the Core Data & Analytics studio are challenging for marketers to use. The solutions offer multiple ways to accomplish tasks within workflows such as creating scenarios, optimizing media plans, or reviewing business results, but each workflow has different constraints.
  • Premium pricing: Ipsos MMA's pricing is the highest among vendors in this research. Prospective clients should weigh its total costs against their needs.
  • Limited cross-functional support beyond finance: Support for supply chain leaders is limited. Its sales process does not include specific activities for leaders outside of finance. Cross-functional onboarding and support guides sit in a separate user interface from its reporting tools. Prospective clients seeking deep enterprisewide support should actively involve their cross-functional colleagues early and often when assessing and engaging Ipsos MMA.


• TransUnion - Leader
  

  Pros:

  • Strong market understanding: TransUnion's extensive experience helps it identify market shifts as MMM strengthens its decision capability, enabling the vendor to align its strategy with clients' future business needs.
  • Initial model delivery support: TransUnion provides a comprehensive framework that details the client roles, responsibilities, and essential tasks necessary for initial model delivery. This ensures all new clients are fully prepared for a smooth rollout and can quickly realize the benefits of their MMM.
  • User-friendly scenario planning: TransUnion's scenario planning tool optimizes planning for specific KPIs and goals, sets campaign constraints, and offers easily adjustable parameters — all within an intuitive interface featuring clear visuals and color-coded charts for actionable insights.

  Cons:

  • Slower product innovation: TransUnion's product innovation remains slower than that of other Leaders. Its solution lacks key features such as the ability to automatically refresh models and provide creative element insights. Prospective clients should review the product roadmap to ensure future deliverables align with their expected growth.
  • Limited leadership engagement: TransUnion reports a typical C-suite engagement frequency that is lower than that of other Leaders in the MMM market. Prospective clients looking to further engage their C-suite should ensure TransUnion prepares a suitable engagement plan.
  • Restricted creative measurement: TransUnion's self-service capabilities for integrating creative scores and/or brand perception into clients' models lag behind those of many vendors. Its platform has minimal ability to compare creative and brand-level drivers of business outcomes. Prospective clients focused on creative effectiveness measurement should ensure additional tools are in place to support this.


• C5i - Niche Player
  

  Pros:

  • Flexible engagement models: C5i allows clients to choose between one-time MMM delivery and ongoing engagement through SaaS, hybrid or full-service consulting delivery.
  • Operational strength: C5i has the most tenured employee group among vendors in this research. It prioritizes upskilling and cross-training its employees to build out its organization and enable professional growth. This approach increases employees' ability to ground insights across a wide array of clients and industries.
  • Flexible in-housing delivery: C5i enables clients to license their software and execute their own model using its platform. A high proportion of its clients in-house their models, and it has a strong migration and training program to ensure a successful transition.

  Cons:

  • Limited support for finance: C5i lacks dedicated onboarding and reference tools for finance users within its platform. As a result, its platform has fewer finance users relative to other Niche Players in this research. Prospective clients looking for extensive support for finance teams should work closely with C5i to design an adoption plan to ensure short- and long-term buy-in from nonmarketing users.
  • Incremental pricing for additions: C5i's platform offers a per-year, per-user license fee, but the addition of new data sources is priced based on the complexity and hours of effort required from its team. Prospective clients should identify all specific data needs before contracting to determine any future fees that may be incurred based on foreseeable changes.
  • Training needed for nonanalysts: C5i's Demand Drivers platform lacks clear onboarding, reference tools, and knowledge base functionality. Prospective clients should work with the vendor to ensure proper training takes place across their organization prior to completing MMM implementation.


• Circana - Niche Player
  

  Pros:

  • Retail data and CPG assets: Circana has access to store-level sales, inventory, and promotion activity data as well as thousands of benchmarks for a range of supermarkets and major CPG and general merchandise retailers. These increase the precision of models built on store-level data when calculating the impact of store-specific dynamics, such as inventory stockouts.
  • Comprehensive marketing measurement: Circana's offering provides the capabilities of MMM, multitouch attribution, and lift studies to quantify the impact of campaigns and creative elements.
  • Global coverage: Circana's worldwide presence enables it to support project implementation from the closest local country office and provide local expertise in 19 countries across five continents. Based on first-party data, or data secured by clients' data-sharing agreements, Circana can cover a broad range of countries and categories.

  Cons:

  • Narrow market focus: Circana focuses its offerings (including MMM) on CPG, durable goods, and retailers, supported by vertical-specific data and assets. Prospective clients in other verticals should carefully evaluate whether it can meet their needs.
  • Impact of acquisition integration: In August 2025, Circana completed its acquisition of Nielsen's MMM business. Gartner expects that the integration work associated with bringing together two large organizations, platforms, people, and measurement methodologies will likely require significant effort. Prospective clients should assess Circana's ability to support their use cases with current capabilities.
  • Research-centric view: On its website, Circana refers to MMM as a 'study' and recommends waiting 'until a marketing period has closed' before running a study. Other vendors position MMM as an always-on decision support tool, reframing the actions for agility instead of research. Prospective clients should consider the impact of this perspective on achieving their adoption and business goals.


• Ekimetrics - Visionary
  

  Pros:

  • Strong industry understanding: Ekimetrics shows an awareness of the critical interdependencies among media agencies, AI capabilities, MMM providers, and clients utilizing these solutions. It provides solutions that maximize value across those relationships and minimize silos.
  • Platform modularity: One.Vision offers 12 specialized modules with specific functionalities, such as a customer analytics module to assess the impact of cross-brand upsells on overall loyalty. This approach delivers financial flexibility to clients by enabling them to invest only in the module-specific capabilities that align with their unique business needs.
  • Creative marketing insights: Ekimetrics' intuitive, end-to-end interface enables creative and brand leaders to easily understand the impact of creative on marketing investment performance.

  Cons:

  • Limited R&D funding: Ekimetrics' R&D investment, as a percentage of revenue, is low compared to that of other vendors, even as its MMM customer base grows. This may restrict the pace of its product innovation. Potential clients should audit the vendor's short-term and long-term roadmaps to verify support for their specific use cases.
  • Pricing standardization challenges: Ekimetrics' modular and flexible solution architecture may make it difficult to understand customized pricing beyond quoted scenarios. This, in turn, makes it more difficult to understand cost drivers. Potential clients should establish multiple potential scopes and price options to determine their best path forward.
  • Lack of media plan monitoring: Ekimetrics does not offer the ability to monitor adherence to the media plans provided by its solution or to fully capture the solution's contribution to overall MMM outcomes. Potential clients should establish alternative approaches to defend marketing and MMM investments.


• Fractal - Niche Player
  

  Pros:

  • Productizing custom solutions: Fractal recently enhanced its planning and optimization platform, MINE, and launched BLEND, a self-service MMM workbench that streamlines data ingestion and automates model management. These tools give data scientists, subject matter experts and industry professionals increased control over model quality and delivery.
  • Buyer empathy: Fractal understands the challenges buyers face, such as achieving C-suite alignment and conducting granular analysis. Its systematic development approach enables effective executive collaboration and delivers custom-made modeling solutions tailored to each client's strategic requirements.
  • In-housing centricity: Fractal takes a custom software development approach, which lends itself well to customer in-housing. As a result, it has the shortest in-house MMM model transition period among vendors in this research. It provides upskilling, shadowing, and reverse shadowing for data scientists, subject matter experts, and executives.

  Cons:

  • Reduced roadmap reach: The items on Fractal's MMM solution roadmap benefit a fraction of its clients, due to the custom nature of its development approach. Some clients may have limited access to advanced features and ongoing MMM innovation. Prospective clients should validate the utility of Fractal's existing solutions to align their delivery expectations.
  • Slower initial model delivery: Fractal's solution takes longer to deploy than other providers. This longer time to value is a steep trade-off against the potential for customized model outputs. Prospective clients should evaluate their readiness for a longer implementation period versus expected value delivery and financial impacts.
  • Lack of creative scoring: Fractal's platform lacks the capability to ingest creative quality scores, quantify impact driven by creative, and simulate budget changes for different marketing creatives. Prospective clients with a focus on creative measurement should request a quote from Fractal for custom development of this capability.


• Kantar - Visionary
  

  Pros:

  • Roadmap delivery: Kantar has delivered both large and small enhancements to LIFT ROI, including simulation capabilities for all business drivers, constraints for optimizations (e.g., removing 'great but unbuyable' recommendations), and the ability to distinguish between direct and indirect impact. It has also added data visualizations for marketers' key decision points.
  • Feedback responsiveness: Kantar has a consistent record of delivering customer-feedback-driven updates, including multiyear simulations, the ability to model multiple impacts of marketing, and data management streamlining. These updates are all customer-facing, cross-functional, and cross-product, and they benefit significant portions of Kantar's customer base.
  • Brand impact clarity: LIFT ROI clearly differentiates between multiple marketing impacts, separating short-term, direct impact from indirect impact (both short- and long-term). It can diagnose declining brand health, identify the impact of publicity that clients can't control, and use a wide variety of data sources in addition to Kantar's proprietary brand health and creative scoring services.

  Cons:

  • Limited R&D capacity: As is common for Visionaries, Kantar lacks capability parity with the Leaders in this research, partially because it invests less (in both absolute dollars and number of employees) in research and development than other Visionaries and Leaders. Prospective clients should closely review its capabilities and roadmap to ensure alignment with current and near-term needs.
  • Marketing-centric engagement model: Kantar typically engages primarily with marketing roles during model development and implementation. Prospective clients who need cross-functional engagement or to set specific time commitment expectations should proactively discuss these with Kantar to assess engagement model fit.
  • Lack of MMM in-housing: Kantar has chosen not to offer in-housing of its MMM solution. Prospective clients considering eventually bringing their MMM in-house should evaluate its ability to deliver on their other needs as part of their trade-off assessment.


• Keen Decision Systems - Niche Player
  

  Pros:

  • Continual innovation: Keen consistently innovates. Recent initiatives include its AI-powered feature that drafts presentation narratives in the platform for easy usage, forecast reconciliation and always-on enhancements to its scenario-planning capability.
  • SaaS capabilities: Keen offers a SaaS-first experience for MMM. This approach ensures all its clients have access to innovative capabilities as they roll out.
  • Fast speed to value: Keen delivers its first models to clients faster than the other providers in this research — from contract signature to first model delivered. And of those models, more were approved in the first iteration than for any other provider.

  Cons:

  • North American CPG-centric: A high proportion of Keen's clients are in the CPG industry and headquartered in North America, which limits the breadth of its benchmark database and meta-model. Prospective clients from other industries should assess whether Keen can successfully make recommendations for their business context.
  • Limited complex supply chain support: Keen's mix model currently identifies the marketing and other aggregate drivers of sales, such as weather, interest rates, competitive activity, overall inventory levels, and nationwide pricing or promotions. Prospective clients that experience significant variation in store-specific enterprise drivers of sales (such as store-level SKU-level inventory, distribution, promotions, and pricing) should assess Keen's utility in this context.
  • Limited creative taxonomy: While Keen's platform can utilize creative execution data, it displays the results either at the campaign level or as a list of every creative variant. Prospective clients looking to understand creative trends (such as differences in messages or offers, but aggregated across placements, tactics, or channels) should be prepared to use additional tools.


• OptiMine - Niche Player
  

  Pros:

  • Go-to-market strategy: OptiMine has begun verticalizing its sales efforts and scaling its operations internationally. It also continues to advance its reseller partner program with a greater variety of partners, dedicated support, and participation in joint go-to-market activities with its partners.
  • Pricing: OptiMine's implementation costs are among the lowest of any vendor in this research. In addition, minimal price adjustments are required for changes to data sources, users or model latency, and these savings can add up when compared to some other competitors.
  • Granular insights at scale: OptiMine supports deep granularity for the media inputs and conversion outputs produced by its model. Its platform supports media splits by DMA, campaign, audience, creative, and device. The data hierarchy supported by its platform was among the best of all the vendors evaluated in this research.

  Cons:

  • Limited options for POCs: OptiMine no longer provides proofs of concept (POCs) in categories where it has extensive deployment experience. In place of a POC, prospective clients will need to rely on case studies and customer reference calls to assess OptiMine's fit.
  • Narrow implementation completion: OptiMine currently defines completion of an MMM implementation based on its own deliverables rather than client utilization or media plan development. Prospective clients should establish action-oriented milestones and acceptance criteria, such as 'optimized media plan from MMM sent to agency for execution,' to ensure long-term support and success.
  • Benchmark update frequency: OptiMine's benchmarking data is delivered annually by default. Prospective clients looking for more frequent updates should work with OptiMine to determine the potential cost implications of more frequent updates and set a mutually-agreed frequency.

Reference

• Gartner, Magic Quadrant for Marketing Mix Modeling Solutions, 10-Nov-2025, ID G00824764

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