Table of contents
How we vet every listicle
Every agency featured on Web Tonic passes our 84-point editorial review before a single listicle goes live. This is how we vet each pick:
Verified client outcomes: We require real case studies with measurable KPIs — revenue, ROAS, CPA, retention — tied to the exact category being ranked. No cherry-picked wins, no unverifiable numbers.
Independent reputation: We cross-check Clutch, Google, G2, and Trustpilot ratings, and screen for review-bombing or suspicious patterns. Only operators with a consistent, verifiable track record make the cut.
Beyond that, every listing goes through a quarterly re-audit. We check 84 criteria across 6 pillars to make sure it still holds up — here are some of the checks we run:
A marketing mix modelling agency builds statistical models linking historical spend, pricing, promotions and outside factors like seasonality to sales. Using regression, Bayesian methods or open frameworks such as Google's Meridian and Meta's Robyn, these teams quantify each channel's contribution and its diminishing-returns curve, then simulate budget scenarios across TV, digital, retail media and out-of-home. Deliverables are a calibrated model, a sales-driver decomposition and scheduled refreshes.
We compared 20 providers on modelling approach, refresh cadence, whether incrementality testing is included, disclosed offices and published pricing. Only 1 of the 19 external entries names a client publicly and none publish a rate. Blackwood Seven was dropped: no verifiable brand asset.
Which marketing mix modelling partner fits your business?
It tracks your data and cadence. Analytic Partners, Ekimetrics and Gain Theory serve multi-market enterprises; NielsenIQ and Circana suit CPG brands needing store-level POS data; Recast, Prescient AI, Fospha and Lifesight fit ecommerce teams wanting faster, lighter model refreshes.
1. Analytic Partners
About: Analytic Partners is one of the largest independent commercial analytics firms specializing in marketing mix modeling, positioning itself around its GPS Enterprise platform for continuous, forward-looking MMM. It serves large global advertisers across CPG, retail, pharma, and financial services. Its differentiator is integrating MMM with agile test-and-learn experimentation and pricing optimization in one platform.
Key Services: Marketing mix modeling, Commercial analytics, Agile test-and-learn experimentation, Brand impact measurement, Pricing optimization, Customer segmentation
Industries Served: CPG/FMCG, Retail, Pharma & healthcare, Financial services, Technology
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Miami, USA, New York, USA, London, United Kingdom
Pricing: No public rate card; quoted per scope
Great For: Global enterprise advertisers, CPG/FMCG brands, Multi-market pricing decisions
Website: Analytic Partners
2. Web Tonic
About: Web Tonic sits on the media side of modelling: we build and calibrate mix models for accounts we also buy, so a saturation curve turns into a changed bid the same week rather than a slide deck. The team pairs open-source frameworks with the paid search and paid social data it already owns, then validates the output with geo holdouts before anything moves. For pure econometric depth across TV, print and trade promotion, the specialist houses below go further, and we will point you at them when that is the honest answer.
Key Services: Growth Marketing, Paid Social, PPC, Meta Ads, SEO, Google Ads, Snapchat Ads, Amazon Ads, Reddit Ads, TikTok Ads, TikTok Shop, GEO-AEO, Webflow Design, Shopify Design, WordPress Design, UGC, Social Media Management, Pay Per Click Management, Marketing Analytics, Analytics Implementation & CDPs, Performance Branding, Performance 360° Audit, Programmatic Ads, OOH Ads, HR Marketing
Industries Served: eCommerce, SaaS, B2B, Construction Professionals, Home Services, SMEs, Health Spa & Wellness, Retail, Legal & Judicial Services, Food & Beverages, Pets, Fitness, Family & Children, Finance & Insurance, Travel, Non-Profits & Organizations, Furniture & Decoration
Notable Clients: WorldRemit, Jack & Jones, Ardene, L'Oréal, Sendwave, Nestlé, Airbnb. Serve Fortune 500 companies and smaller fast-paced startups.
Locations: HQ in San Francisco with notable offices in New York, Chicago, Miami, Toronto, Montreal, Dubai, Singapore, Sydney and more. Offices on five continents.
Pricing: Starting at USD $3,000 per month. Flexible and scalable plans at any time according to your enterprise needs. Book a call to learn more.
Great For: Mid-market to enterprise-level businesses requiring ongoing, on-tap growth and performance marketing services.
Website: Web Tonic
3. Ekimetrics
About: Ekimetrics is a Paris-founded data science and marketing effectiveness consultancy with a long-standing econometrics practice, now a certified partner in Google's open-source Meridian program. It blends traditional MMM with sustainability and climate-data-linked analytics for global brands. The firm operates across EMEA, Americas and APAC through a boutique-consultancy model rather than a self-serve platform.
Key Services: Marketing mix modeling, Marketing & commercial effectiveness, Media effectiveness audits, Data science consulting, Sustainability-linked analytics, Budget scenario planning
Industries Served: CPG/FMCG, Luxury & retail, Automotive, Financial services, Telecom
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Paris, France, London, United Kingdom, New York, USA
Pricing: No public rate card; quoted per scope
Great For: Global CPG brands, Sustainability-focused marketers, Multi-region econometrics programs
Website: Ekimetrics
4. Gain Theory
About: Gain Theory is WPP's dedicated marketing effectiveness and analytics practice, built specifically around econometric modeling and commercial growth measurement for large advertisers. It works closely with WPP media agencies to translate MMM outputs directly into media plans. Its differentiator is deep integration with a holding-company media buying network.
Key Services: Marketing mix modeling, Marketing effectiveness consulting, Media investment strategy, Growth analytics, Scenario planning, Cross-channel attribution
Industries Served: CPG/FMCG, Retail, Automotive, Financial services, Telecom
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: London, United Kingdom, New York, USA
Pricing: No public rate card; quoted per scope
Great For: WPP/GroupM media clients, Global advertisers, Media-and-analytics bundled needs
Website: Gain Theory
5. Marketing Evolution
About: Marketing Evolution is a marketing measurement company built around its MarketingOS platform, which combines media mix modeling with people-based measurement. It targets mid-to-large advertisers wanting a hybrid of MMM and multi-touch attribution rather than a pure econometrics engagement. The firm is frequently cited among the earlier movers in software-assisted MMM.
Key Services: Media mix modeling, Multi-touch attribution, Marketing measurement platform, Media planning & optimization, Cross-channel ROI analysis, Scenario simulation
Industries Served: Retail, CPG/FMCG, Financial services, Telecom, Automotive
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Bala Cynwyd, USA, Boston, USA
Pricing: No public rate card; quoted per scope
Great For: Mid-to-large advertisers, Hybrid MMM+MTA needs, Media planning teams
Website: Marketing Evolution
6. Nepa
About: Nepa is a Stockholm-based marketing analytics firm offering continuous marketing mix modeling as a named product line alongside brand tracking and campaign measurement. It serves over 100 brands, mostly Nordic and European, with an emphasis on tying MMM to brand-health metrics. Its differentiator is packaging MMM as an ongoing subscription product rather than a one-off consulting engagement.
Key Services: Continuous marketing mix modelling, Brand tracking, Media strategy, Campaign measurement, Visual performance analysis, Budget scenario planning
Industries Served: CPG/FMCG, Retail, Financial services, Telecom, Automotive
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Stockholm, Sweden, Copenhagen, Denmark, London, United Kingdom
Pricing: No public rate card; quoted per scope
Great For: Nordic and European brands, Brand + MMM combined tracking, Ongoing measurement subscriptions
Website: Nepa
7. Mutinex
About: Mutinex is a Sydney-founded marketing measurement company whose platform (Evenlytics) is built specifically for Bayesian marketing mix modeling and budget scenario planning. It publicly names enterprise clients including Optus, Samsung, Hershey's, ING, Seek, Lion and Youi, and states it powers over $13B in commercial decisions across 100+ brands. It positions itself as a faster, more transparent alternative to legacy MMM consultancies.
Key Services: Bayesian marketing mix modeling, Budget scenario planning, Channel saturation curve analysis, Media effectiveness reporting, Executive decision dashboards, Ongoing model refresh
Industries Served: Telecom, CPG/FMCG, Banking & insurance, Retail, Consumer electronics
Notable Clients: Optus, Samsung, Hershey's, ING, Seek
Locations: Sydney, Australia, San Francisco, USA
Pricing: No public rate card; quoted per scope
Great For: APAC enterprise brands, Telecom and banking marketers, Boards wanting fast MMM dashboards
Website: Mutinex
8. Recast
About: Recast is a marketing measurement company built around a Bayesian, open-methodology marketing mix modeling platform paired with a dedicated analyst team for setup and interpretation. It markets itself as a modern, transparent alternative to black-box legacy MMM vendors, publishing its methodology openly. It targets fast-growing DTC and mid-market brands as well as larger advertisers moving off cookie-based attribution.
Key Services: Bayesian marketing mix modeling, Budget allocation recommendations, Channel saturation analysis, Incrementality validation, Model calibration support, Ongoing measurement advisory
Industries Served: E-commerce/DTC, CPG/FMCG, SaaS, Retail, Financial services
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: New York, USA, Remote-first team, USA
Pricing: No public rate card; quoted per scope
Great For: DTC/e-commerce brands, Mid-market advertisers, Brands wanting transparent methodology
Website: Recast
9. Keen Decision Systems
About: Keen Decision Systems is a Research Triangle, North Carolina-founded marketing measurement company offering an AI-powered MMM platform with dedicated annual and demand planning modules. It serves both brands directly and agencies through an agency-partnership program, publishing an annual 'State of Media Measurement' survey report. Its differentiator is tying MMM output directly into annual budget-planning workflows.
Key Services: AI-powered marketing mix modeling, Annual planning, Demand planning, Media planning, Marketplace of pre-built benchmarks, Marketing measurement advisory
Industries Served: CPG/FMCG, Retail, Beauty & personal care, Consumer electronics, Alcohol & beverage
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Cary, USA, Durham, USA
Pricing: No public rate card; quoted per scope
Great For: CPG brands doing annual budget planning, Agencies needing white-label MMM, Mid-market consumer brands
Website: Keen Decision Systems
10. Prescient AI
About: Prescient AI is a San Francisco-based marketing measurement company focused on e-commerce and DTC brands, combining marketing mix modeling with daily-level campaign insights. It emphasizes helping growth teams justify expansion into new top-of-funnel channels like podcasts and CTV using MMM evidence. Its differentiator is granular, near-daily MMM outputs built specifically for performance-marketing-led teams.
Key Services: Marketing mix modeling, Daily campaign-level measurement, New-channel expansion analysis, Budget scenario simulation, Incrementality validation, Growth marketing advisory
Industries Served: E-commerce/DTC, Retail, Beauty & personal care, CPG/FMCG, Subscription commerce
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: San Francisco, USA, Remote-first team, USA
Pricing: No public rate card; quoted per scope
Great For: E-commerce/DTC growth teams, Brands testing new ad channels, Performance-marketing-led organizations
Website: Prescient AI
11. Rockerbox
About: Rockerbox is a New York-based marketing measurement company that combines multi-touch attribution with marketing mix modeling in a unified reporting layer. It targets performance-marketing-heavy brands that want to reconcile platform-reported attribution with aggregate MMM results. Its differentiator is a strong focus on unifying disparate measurement methods into one dashboard rather than replacing MTA outright.
Key Services: Marketing mix modeling, Multi-touch attribution, Unified measurement reporting, Incrementality testing support, Media budget optimization, Cross-channel data integration
Industries Served: E-commerce/DTC, CPG/FMCG, Subscription commerce, Retail, Financial services
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: New York, USA, Remote-first team, USA
Pricing: No public rate card; quoted per scope
Great For: Performance marketing teams, Brands reconciling MTA + MMM, E-commerce advertisers
Website: Rockerbox
12. Measured
About: Measured is a Seattle-based marketing measurement company specializing in incrementality testing alongside marketing mix modeling, positioning MMM as one layer of a broader test-and-measure methodology. It works with performance and brand marketers who want geo-based holdout experiments to validate channel-level spend decisions. Its differentiator is the depth of its incrementality/geo-lift testing infrastructure combined with MMM.
Key Services: Marketing mix modeling, Incrementality & geo-lift testing, Channel-level ROI measurement, Budget scenario planning, Media effectiveness reporting, Cross-channel testing calendar management
Industries Served: E-commerce/DTC, Retail, CPG/FMCG, Financial services, Travel & hospitality
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Seattle, USA, Remote-first team, USA
Pricing: No public rate card; quoted per scope
Great For: Brands wanting geo-lift validation, Performance and brand marketers together, Multi-channel testing programs
Website: Measured
13. Lifesight
About: Lifesight is a Singapore-founded marketing measurement company offering a 'Causal Marketing Mix Modeling' software product alongside attribution and creative analytics. It targets growth marketers who want a self-serve MMM tool with faster iteration than traditional consulting engagements. Its differentiator is combining causal-inference MMM with broader marketing intelligence (creative, attribution) in one suite.
Key Services: Causal marketing mix modeling, Multi-touch attribution, Creative performance analytics, Budget scenario planning, Unified marketing dashboards, Cross-channel measurement
Industries Served: E-commerce/DTC, Retail, CPG/FMCG, Gaming, Subscription apps
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Singapore, Singapore, San Francisco, USA
Pricing: No public rate card; quoted per scope
Great For: Growth marketers wanting self-serve MMM, APAC and US e-commerce brands, Teams wanting attribution + MMM in one suite
Website: Lifesight
14. Analytic Edge
About: Analytic Edge is a US data analytics consultancy and one of Google's officially certified Meridian implementation partners, focused on marketing mix modeling, data science training, and analytics consulting for mid-market clients. It differentiates by pairing hands-on MMM project delivery with analytics training programs for client teams. It is a smaller, boutique operation compared to the global holding-company practices.
Key Services: Marketing mix modeling (Meridian implementation), Data analytics consulting, Analytics training & upskilling, Budget scenario modeling, Data science advisory, Custom model calibration
Industries Served: CPG/FMCG, Retail, Financial services, Healthcare, Technology
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: United States, Remote-first team, USA
Pricing: No public rate card; quoted per scope
Great For: Mid-market brands adopting Google Meridian, Teams wanting MMM + staff training, Boutique-consultancy buyers
Website: Analytic Edge
15. Fractal Analytics
About: Fractal Analytics is a large decision-intelligence and AI consulting firm headquartered between India and the US, offering integrated marketing effectiveness services that include marketing mix modeling as part of broader commercial analytics engagements. It serves Fortune 500 enterprises with large data science teams rather than a boutique-only model. Its differentiator is scale — deep bench strength for enterprise-wide analytics transformations beyond MMM alone.
Key Services: Integrated marketing effectiveness, Marketing mix modeling, Retail media analytics, AI-driven decision intelligence, Customer & demand analytics, Enterprise data science consulting
Industries Served: CPG/FMCG, Retail, Financial services, Healthcare & life sciences, Technology
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Mumbai, India, New York, USA
Pricing: No public rate card; quoted per scope
Great For: Fortune 500 enterprises, Brands wanting MMM inside a larger AI transformation, Retail media measurement programs
Website: Fractal Analytics
16. NielsenIQ
About: NielsenIQ (NIQ) runs a dedicated Marketing Mix Modeling solution as part of its global marketing effectiveness division, leveraging its point-of-sale and consumer panel data as model inputs. It is a Google Meridian-certified partner and also earned TikTok's media mix modeling badge. Its differentiator is proprietary retail and consumer data feeding directly into the models, which most independent MMM boutiques don't have in-house.
Key Services: Marketing mix modeling, Marketing effectiveness consulting, GfK Marketing Mix Evaluator, Retail point-of-sale data integration, Media investment optimization, Consumer panel-based measurement
Industries Served: CPG/FMCG, Retail, Beverages & alcohol, Personal care, Household goods
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Chicago, USA, London, United Kingdom
Pricing: No public rate card; quoted per scope
Great For: CPG brands with retail POS data needs, Global consumer goods manufacturers, Brands wanting panel-data-informed MMM
Website: NielsenIQ
17. Ebiquity
About: Ebiquity is a London-based, publicly listed marketing effectiveness consultancy offering marketing mix modelling as part of its media management practice, alongside media auditing and agency remuneration advisory. It positions itself as an independent, impartial partner for advertisers navigating agency and media investment decisions. Its differentiator is combining MMM output with media contract and cost auditing under one roof.
Key Services: Marketing mix modelling, Media investment auditing, Marketing effectiveness consulting, Agency remuneration advisory, Media strategy & governance, Budget scenario planning
Industries Served: CPG/FMCG, Retail, Financial services, Telecom, Automotive
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: London, United Kingdom, New York, USA
Pricing: No public rate card; quoted per scope
Great For: Advertisers wanting independent media auditing + MMM, Global brands managing agency contracts, Marketing procurement teams
Website: Ebiquity
18. Circana
About: Circana (formed from the merger of IRI and NPD) runs a dedicated Marketing Mix solution built on its Liquid Data platform, using granular point-of-sale and causal data across 7,000+ clients and partners. It is a Google Meridian-certified partner with over 100 data scientists dedicated to marketing measurement. Its differentiator is store-level POS data depth most pure-play MMM boutiques cannot replicate.
Key Services: Marketing mix modeling, Point-of-sale causal analytics, Retail media measurement, Predictive forecasting, Budget optimization, Category & market intelligence
Industries Served: CPG/FMCG, Retail, Beauty & personal care, Beverages & alcohol, Household goods
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Chicago, USA, New York, USA
Pricing: No public rate card; quoted per scope
Great For: CPG brands wanting store-level POS data in MMM, Retail media measurement programs, Large consumer goods manufacturers
Website: Circana
19. Fospha
About: Fospha is a UK-based marketing measurement company combining always-on multi-touch measurement with a 'Daily MMM' product designed to unify ad-level tactical insight with mix-model-level budget guidance. It targets performance marketing teams frustrated by both platform-native dashboards and slow, quarterly-cycle MMM. Its differentiator is daily-refresh MMM output rather than the traditional monthly or quarterly cadence.
Key Services: Daily marketing mix modeling, Multi-touch measurement, Spend Strategist budget forecasting, Privacy-safe measurement, Cross-channel reporting, Incrementality validation
Industries Served: E-commerce/DTC, Retail, Subscription commerce, Beauty & personal care, Fashion & apparel
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: London, United Kingdom, New York, USA
Pricing: No public rate card; quoted per scope
Great For: DTC/e-commerce brands, Performance marketing teams, Brands wanting daily-refresh MMM
Website: Fospha
20. Merkle
About: Merkle, part of Dentsu, is a large CRM and data-driven customer experience agency that runs a dedicated Marketing Measurement & Optimization capability, and became the first agency partner to deploy Adobe's Mix Modeler; it is also a Google Meridian-certified partner. It serves large, complex enterprise accounts across B2B and B2C. Its differentiator is bundling MMM within a much broader CRM, data and personalization capability stack.
Key Services: Marketing mix modeling, Marketing measurement & optimization, Adobe Mix Modeler deployment, CRM & customer data strategy, Media planning & activation, Personalization & experience design
Industries Served: Financial services, Retail, Healthcare, B2B technology, Automotive
Notable Clients: Not publicly named — case studies are anonymised by category
Locations: Columbia, USA, London, United Kingdom
Pricing: No public rate card; quoted per scope
Great For: Large enterprise accounts, B2B advertisers, Brands standardizing on Adobe's measurement stack
Website: Merkle
Quick Comparison Table
| Agency | Key Specialty | Starting Price | Best For |
|---|---|---|---|
| 1. Analytic Partners | Enterprise MMM + agile testing | Quote-based | Large multi-market enterprise brands |
| 2. Web Tonic | Full-Service Performance Marketing | USD $3,000/mo | Mid-market to Enterprise |
| 3. Ekimetrics | Econometrics + sustainability data | Quote-based | Global brands needing bespoke econometrics |
| 4. Gain Theory | Holding-company-integrated MMM | Quote-based | Advertisers already inside WPP network |
| 5. Marketing Evolution | Hybrid MMM + attribution platform | Quote-based | Brands wanting MMM plus MTA in one tool |
| 6. Nepa | Continuous MMM as a subscription | Quote-based | Nordic/European brands wanting always-on MMM |
| 7. Mutinex | Bayesian MMM decision platform | Quote-based | ANZ/APAC enterprise brands |
| 8. Recast | Open-methodology Bayesian MMM | Quote-based | DTC and mid-market growth brands |
| 9. Keen Decision Systems | MMM tied to annual planning | Quote-based | CPG brands running annual planning cycles |
| 10. Prescient AI | Daily MMM for e-commerce growth | Quote-based | E-commerce and DTC growth teams |
| 11. Rockerbox | Unified MMM + MTA reporting | Quote-based | Brands wanting MMM and MTA reconciled |
| 12. Measured | Incrementality testing + MMM | Quote-based | Brands prioritizing incrementality proof |
| 13. Lifesight | Causal AI self-serve MMM | Quote-based | Growth teams wanting self-serve causal MMM |
| 14. Analytic Edge | Google Meridian-certified boutique MMM | Quote-based | Mid-market brands implementing open-source MMM |
| 15. Fractal Analytics | Enterprise-scale AI + marketing effectiveness | Quote-based | Large enterprises bundling MMM with AI transformation |
| 16. NielsenIQ | Retail-data-fed MMM at scale | Quote-based | CPG brands needing retail POS-linked MMM |
| 17. Ebiquity | Independent MMM + media auditing | Quote-based | Advertisers combining MMM with media audit |
| 18. Circana | POS-data-driven MMM at scale | Quote-based | CPG brands needing store-level POS-linked MMM |
| 19. Fospha | Daily-refresh MMM for e-commerce | Quote-based | E-commerce brands wanting daily MMM updates |
| 20. Merkle | Adobe Mix Modeler deployment partner | Quote-based | Enterprises standardizing on Adobe measurement stack |
Frequently Asked Questions
When is a business ready for marketing mix modelling?
Two conditions matter more than size. You need roughly two to three years of weekly spend and outcome history across several channels, and you need a decision that actually depends on cross-channel allocation — usually annual or quarterly planning. A single-channel advertiser gets more from incrementality tests than from a model. If your history is short or your channel mix changed dramatically last year, start with geo holdout experiments and build the modelling dataset properly while you wait.
What does MMM cost, and why will nobody quote it publicly?
None of the 19 external providers here publish a rate, because scope drives price more than headcount does: markets, brands, channel granularity and refresh frequency each multiply the work. The visible signal is the software market, where 2025 saw entry-level mid-market tiers appear at roughly USD $2,000–8,000 a month against the six-figure annual contracts that preceded them. Managed services now account for 37.7% of category revenue and are growing faster than licences, which tells you buyers are paying for interpretation, not maths.
Is open-source modelling as good as a commercial vendor?
The maths is not the differentiator any more. Google's Meridian, Meta's Robyn and PyMC-Marketing are credible foundations, and Google launched Meridian with more than 20 certified partners including several firms on this list. What you buy from a vendor is data engineering, calibration discipline, priors informed by category experience and someone accountable when the model disagrees with the platform dashboards. Open source lowers the licence cost and raises the requirement for internal statistical capability; it does not remove the work.
How does MMM relate to attribution and incrementality tests?
Think of them as three instruments measuring the same system at different resolutions. Attribution is granular and immediate but privacy-fragile. Mix modelling is aggregate, privacy-safe and covers offline media, but it refreshes slowly and cannot tell you which creative worked. Incrementality experiments — geo holdouts, lift studies — are the calibration layer that keeps the other two honest. The strongest programmes use experiments to set priors in the model, then let the model allocate budget between planning cycles.
Which industries get the most out of it?
Retail and fast-moving consumer goods dominate, at 24.6% and 21.8% of category application revenue respectively, because both spend heavily across media that no click can trace and both have clean weekly sales data. Anyone with meaningful offline or brand spend, retail media investment or long consideration cycles is a natural fit. Pure-play ecommerce brands use it too, but usually in the faster, lighter form the newer vendors sell rather than the full annual econometric build.
Choosing a Marketing Mix Modelling Partner
Decide what the model is allowed to change. A model nobody acts on is an expensive report. Before shortlisting, name the planning meeting where its output will be argued over, and who owns the budget it will move. Buyers who can answer that get scoped a decision tool; buyers who cannot get scoped a study.
Ask about calibration, not accuracy. Every vendor's model fits history well. The useful question is how it is calibrated against experiments — which geo tests, which holdouts, how priors were set and what happens when the model and your platform reporting disagree. A partner who has run that argument before will describe it in specifics.
Price the refresh, not the build. The first model is the cheap part. Refresh frequency, added markets, new channels and re-training after a mix change are where budgets drift. Get the refresh cost in writing, along with who does the data engineering when a source changes format.
Insist on interpretation you can defend. Ask to see a redacted decomposition and read how the recommendation was written, because that document is what your CFO will actually judge. If you want modelling from people who also answer for the media it reallocates, see our data intelligence work, read our latest analysis, or book a call.
