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    Marketing mix modeling: Get actionable insights that fuel business growth

    Marketing mix modeling (MMM) helps brands to evaluate the performance of a marketing investment by isolating its individual impact. Marketers use MMM to make informed strategic decisions, such as future budget allocation, with more confidence.

    What is marketing mix modeling?

    Marketing mix modeling is a statistical technique that measures the past performance of a marketing investment on KPIs like sales. By applying econometrics, it uncovers the drivers of performance and their relationships to enable data-driven strategic decisions. MMM helps assess how marketing activity influences measurable outcomes, including the impact of advertising, hence the alternate term ‘media mix modeling’. It can also measure the impact of a wide range of non-media activity, including pricing, product launches, and promotions.

    MMM provides decision-makers with clarity on how each marketing activity contributes to KPIs. But it also provides the data on which future outcomes can be simulated. Brands that adopt MMM can optimize marketing budgets, align efforts with ROI goals, and respond faster to changing market conditions.

    Three key benefits of marketing mix modeling

    Marketing mix modeling offers more than a retrospective look at performance. It provides actionable insights that help marketers optimize spend, understand timing effects, and drive growth through data-informed planning. Below are three key benefits every brand should be aware of.

    1. Holistic view

      MMM combines a range of different drivers into one unified model to reveal how each one influences your KPI. It replaces fragmented tools with a cohesive strategy. It also surfaces interaction effects like cross-channel synergy and diminishing returns.

    2. Short- and long-term impacts

      MMM identifies which tactics drive results quickly and which have long-term effects, helping you plan across multiple time horizons. These insights help marketers decide not just what works, but when and why. Scenario planning and brand effect lag detection are built in.

    3. Incrementality

      MMM quantifies the true impact of each campaign, channel, or tactic. This enables smarter budget allocation based on measurable return. It also flags when spend starts producing diminishing returns so you can pivot early.

    Gain Theory’s differentiated approach to marketing mix modeling

    We have more than 50 years of experience in delivering MMM projects to ambitious brands across multiple sectors.

    Our core approach to MMM ensures you capture the impact of a wide range of drivers on your KPIs. Because these drivers go beyond marketing, we refer to it as business driver modelling (BDM). Other drivers we factor in include macroeconomic shifts, competitor activity, and operational activities like distribution. This is important as it enables brands to get a more holistic view of how their investments are performing.

    To ensure BDM can be tailored to your specific business questions, we have a range of specialized methodologies and tools that we can deploy. These additional features enable marketers to:

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    Analyze media based on consumer behavior

    Our Admodel tool is a more sophisticated way of applying adstock. It provides highly practical, prescriptive guidelines on flighting, reach, and frequency thresholds that can be used to optimize campaigns.
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    Measure the full customer journey

    Our Integrated Marketing Response (IMR) framework uses a nested modeling approach. This allows us to measure marketing’s impact on upper-funnel KPIs (e.g. brand awareness) and link them to mid-funnel (e.g. search) and bottom-funnel (e.g. sales) metrics.
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    Get granular, near-time insights at speed

    Our award-winning Sensor™ solution offers privacy-compliant attribution and incrementality testing without user-level data. Sensor™ enables granular, tactical optimization across all online and offline channels, providing a single source of truth for your marketing, finance, and strategy teams. Learn more about Sensor™.

    Measure long-term impact

    Our Unobserved Component Modeling (UCM) approach treats baseline sales as dynamic rather than static. This means we can separate short-term sales lift from the more long-term impact that marketing has on performance.
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    Benefit from unified measurement

    By unifying strategic and tactical models with a single integrated data set, we create a dynamic feedback loop. Tactical performance informs strategic planning, while strategic measures guide tactical optimization, ensuring a truly hierarchical and consistent view across all marketing dimensions. To deliver our unique MMM approach, we utilize:
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    ROVA: Your modeling powerhouse

    Our advanced analytics platform, ROVA, is powered by AI, machine learning, and econometrics. Offering full transparency, ROVA is PII safe, SOC 2 certified, and can be deployed behind your firewall, giving you complete control over your data.
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    Global experts

    Our global team of experts, with decades of domain knowledge, provides high-touch consultancy, ensuring each project is guided by precision and tailored to your unique business questions.

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