Product

Marketing Mix Modeling

Forecast, Simulate, and Optimize Your Marketing Mix

RevSure MMX transforms traditional marketing mix modeling into a full-funnel optimization engine. By applying advanced modeling to simulate budget shifts, generate ROI curves, and identify optimal spend levels, it empowers GTM teams with built-in scenario planning to test strategies, forecast pipeline impact, and allocate budget with confidence.

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RevSure's AI-Powered Marketing Mix Modeling

By integrating robust data analytics and machine learning, our Marketing Mix Modeling enables optimal spend allocation, strategic adjustments, and enhanced ROI, ensuring your marketing efforts drive maximum value. Our solution helps you visualize baseline and channel contributions to your pipeline and bookings, track overall performance, and analyze spending, campaigns, impressions, pipeline, and booking metrics.

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Marketing Mix Methodology & Capabilities

RevSure MMX applies a structured, privacy-first methodology, combining channel-level feature engineering, geo-segmentation, and adstock decay with Bayesian regression and counterfactual modeling. By layering hundreds of features and response curves, it isolates incremental lift with precision. Models are retrained quarterly and scored daily, ensuring always-fresh, reliable insights.

MMX Methodology

Data Preparation

Feature engineering by channel, geographic segmentation, adstock transformations with automated feature selection

Baseline Sales Modeling

Seasonal decomposition, residual modeling, and incremental lift isolation

Model Training

Bayesian Ridge Regression, K-fold cross- validation, mutual information selection, and hyper-parameter tuning

Touch and Incrementality Signals

MMX anchored in the B2B buyer journey, using touch-based and time-varying lift

Response Curve Generation

Hill/sigmoid curves, saturation analysis, ROI optimization, and diminishing returns

Multi-touch
attribution

Advanced
MMX Models

Incrementality
Testing

what you get

Channel-Level Attribution

Detailed marketing contribution by channel with confidence intervals

Multi-Geography Insights

Regional marketing effectiveness across Americas, EMEA, APAC

Response & ROI Curves

Spend-response optimization with saturation analysis

Scenario Planning Tool

What-if analysis for budget allocation optimization

Diminishing Return Points

Optimal spend thresholds before saturation

Privacy-First Modeling

Privacy-preserving attribution with uncertainty quantification

Comprehensive Channel Coverage

RevSure’s Marketing Mix Modeling (MMX) supports a comprehensive set of online, offline, and macroeconomic channels to ensure full-funnel visibility and accurate ROI measurement. Supported channels include:

Digital Paid Media

LinkedIn Ads

Other Paid Social (Facebook, Twitter, Instagram, Reddit)

Paid Search (Google Ads, Bing Ads)

Content Syndication

Display & Programmatic Advertising

Organic & Owned Media

Organic Social

Content Marketing

SEO / Google Search Console

Website Referrers

Chat Engagement

Email Marketing

Sales-Led & Direct Engagement

SDR Outreach

Sales & Business Development Activities

Direct Mail & Gifting

Other Campaigns

ABM

Offline & Event Marketing (Hosted, Sponsored)

Offline Events

OOH

Podcasts

Webinars

Brand Campaigns

External & Market Factors

Macroeconomic Indicators

Industry Trends

Why RevSure MMX is Different

RevSure is purpose-built for complex B2B GTM motions, where long sales cycles, multi-threaded buying committees, and non-linear funnels make traditional marketing mix tools fall short. Unlike generic MMM vendors, RevSure unifies Marketing Mix Modeling, Multi-Touch Attribution, and Incrementality Testing into one integrated framework designed for the realities of B2B.