Marketing mix modeling shows every channel's worth
RevSure MMX shows how every channel contributes to pipeline and bookings, where returns flatten, and what a budget shift will deliver.
Marketing mix modeling estimates how much each channel, baseline demand, and external factor contributes to pipeline or bookings. RevSure models aggregated channel data on one identity-resolved context layer, then uses Bayesian regression, adstock decay, and response curves to show incremental lift, saturation, and what a budget shift is likely to return.
From scattered spend to a defensible budget plan
A structured, privacy-first method turns channel activity into a clear answer about where the next dollar should go.
- 01
Prepare the data
Feature engineering by channel, geographic segmentation, and adstock transformations make spend and outcome data ready for modeling.
- 02
Isolate baseline demand
Seasonal decomposition and residual modeling separate what would have happened anyway from marketing-driven lift.
- 03
Train and validate the model
Bayesian Ridge Regression, cross-validation, automated feature selection, and hyperparameter tuning produce an inspectable model.
- 04
Plan the next move
Response curves, confidence intervals, and scenario planning turn the model into a decision before budget is committed.
Generic mix models were not built for a B2B funnel
Long sales cycles, buying committees, and non-linear journeys break tools designed for consumer retail.
Answers arrive late
Quarterly-only models report on spend that is already gone, after the next budget is locked.
Built for carts, not committees
Consumer models one conversion. B2B pipeline moves through stages, owners, and months.
Spend runs past return
Without response curves, the best channel keeps getting budget after each additional dollar stops producing pipeline.
Three tools, three answers
Attribution, mix modeling, and lift tests live apart, so teams reconcile numbers instead of deciding.
Know which channels built the pipeline
Visualize baseline and channel contributions to pipeline and bookings, overall and within any quarter. Break each marketing factor into spend, campaigns, impressions, pipeline, and booking value.
- Channel and quarterly views of spend, ROI, and pipeline
- Baseline separated from marketing-driven lift
- Confidence intervals on channel-level estimates
- Zero-activity channels shown by design
Find where more spend stops paying back
Response Curve Analysis shows how increasing spend on a factor moves your KPIs. Switch to the ROI curve to see what each additional $1,000 delivers, and catch diminishing returns before the budget does.
- Hill and sigmoid response curves fitted per channel
- Marginal ROI for the next $1,000 at any spend level
- Diminishing-return points that mark the optimal threshold
- Know where to stop spending, not only where to spend more
Test the budget before you move it
The Scenario Planner forecasts the impact of spend changes across channels using predictive ROI curves and saturation points. AI-powered spend optimization then recommends reallocations across channels, regions, and campaigns.
- What-if analysis with projected pipeline and ROI
- Compare against previous quarters before committing
- Hierarchical optimization from campaign to region to global
- Hand approved moves to the Campaign Reallocation agent
Online, offline, and the market around you
RevSure MMX models online, offline, and macroeconomic factors together, so full-funnel ROI includes the channels person-level tracking misses.
Digital paid media
LinkedIn Ads, paid social, paid search, content syndication, display, and programmatic.
Organic and owned
Organic social, content, SEO, website referrers, chat engagement, and email marketing.
Sales-led and direct
SDR outreach, business development, direct mail, gifting, ABM, and other campaigns.
Offline and events
Hosted and sponsored events, OOH, podcasts, webinars, and brand campaigns.
External factors
Macroeconomic indicators and industry trends that influence demand.
Multi-geography insights
Regional effectiveness across the Americas, EMEA, and APAC.
Mix modeling built for how B2B actually buys
Unified and full-funnel
One framework blends MMX, multi-touch attribution, and incrementality testing across every stage of the funnel.
B2B by design
Long buyer journeys, multi-stage funnels, brand plus performance, and hybrid online and offline attribution.
AI-driven and fresh
Bayesian regression and simulation with weekly and daily refresh options instead of quarterly-only readouts.
Integrated and actionable
Direct CRM and channel integrations, scenario planning, and budget reallocation simulations in one place.
See better marketing decisions in action
Questions, answered
What is marketing mix modeling?
Marketing mix modeling is a statistical method that estimates how much each marketing channel, plus baseline demand and external factors, contributes to an outcome such as pipeline or bookings. It works from aggregated spend and activity data over time rather than individual user tracking, making it privacy-first by design.
How is marketing mix modeling different from multi-touch attribution?
Multi-touch attribution credits individual touchpoints on known buyer journeys. Marketing mix modeling measures channel impact from aggregated spend and outcomes, including channels that cannot be tracked at the person level, such as events, podcasts, OOH, and brand campaigns. RevSure runs MMX, MTA, and incrementality testing on one context layer.
Why do B2B teams need a different kind of MMM?
B2B motions have long sales cycles, multi-threaded buying committees, and non-linear funnels. RevSure MMX supports multi-stage funnels, touch-based and time-varying lift, hybrid online and offline measurement, and direct CRM integration.
What is adstock in marketing mix modeling?
Adstock is the carryover effect of marketing. A webinar, event, or campaign can keep influencing pipeline after spend stops, then that influence decays over time. RevSure applies adstock transformations per channel so delayed impact is credited to the channel that caused it.
What is a response curve?
A response curve shows how a KPI such as generated pipeline changes as spend on a channel increases. RevSure fits Hill and sigmoid curves to find the saturation point, while the ROI curve shows what each additional $1,000 delivers.
Can I test a budget change before making it?
Yes. The Scenario Planner forecasts the impact of spend changes using predictive ROI curves and saturation points, compares outcomes with previous quarters, and recommends reallocations across channels, regions, and campaigns.
Find your optimal mix
See how RevSure tracks channel performance and shows where the next dollar earns the most pipeline.