Funnel measure

Marketing measurement you can act on

Funnel Measure calibrates marketing mix modeling (MMM) with multi-touch attribution and incrementality testing so you can see what's working and move budget with confidence. 

The old measurement stack is not good enough

Platform attribution is biased, and click-based models miss what really drives impact. One-off projects go stale, and when results are questioned, the numbers fall apart. Without trusted measurement, you second-guess budgets, delay decisions, and struggle to prove marketing’s value.

Funnel Measure is built differently.

With Funnel Measure you get the confidence you need to optimize your media spend.

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Agentic AI eliminates the measurement bottleneck

The old measurement stack required expensive consultants and months-long implementations. Funnel's agentic approach automates the manual work, from data quality checks to model optimization. The modeling itself runs on proven ML frameworks, so you go from data to trustworthy results in weeks, not quarters.

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Granular & actionable

Channel-level incrementality + campaign-level detail. Accounts for seasonality, pricing and external factors. Optimize spend across online, offline, paid and organic.
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Always on

Most companies that do MMM do it once a year. Funnel gives you daily updates, so you can use measurement for continuous optimization - not just annual planning.
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Integrated data hub

Funnel Measure is the only measurement product with its own data foundation. Your marketing data is collected, cleaned, normalized, and continuously updated in our data hub.

From data to decisions in days, not months

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Connect your data

Consistent, governed ingestion from 600+ sources via Funnel’s data hub

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Use AI-powered modeling

Multi-objective optimization across thousands of configurations

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Get daily AI insights

Saturation curves, marginal ROAS, budget recommendations

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Take action

Scenario planning, forecasting, automated bid optimization

More precise measurement with triangulation

By calibrating marketing mix modeling (MMM) with multi-touch attribution and incrementality testing, Funnel delivers robust, cross-validated insights. It minimizes biases, reduces over-reliance on any single methodology, and provides a comprehensive view of your marketing efforts.

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MMM (Marketing mix modeling)

Understand the true impact of every channel, including campaigns that never get a click. Separate genuine marketing impact from baseline performance and external factors like seasonality.
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MTA (Multi-touch attribution)

See every tracked touchpoint in the customer journey. Unbiased attribution across paid and organic digital channels.
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Incrementality testing

Run controlled experiments to validate your attribution models and confirm what is actually driving results - not just correlation, but causation.

What you get with Funnel Measure

Attribution

Correct attribution

Know what actually drives conversions

Attributing sales conversions to media channels with machine learning and data science; not just last click.

Baseline

Baseline calculation

Measure only what’s truly incremental

Most conversions are independent of advertising. True ROAS is net of the baseline.

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Adstock modeling

Capture impact beyond the click

Much of the effect of the marketing comes after a period of time. This time delay is called Adstock.

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Marginal acquisition cost

Find the spend sweet spot

Advertising has diminishing returns with scale. Finding the sweet spot is crucial.

Budget

Budget optimization

Put dollars where they work hardest

Find the ideal budget allocation given the saturation of each channel.

AI

AI insights

Turn analysis into action

LLM powered analysis that uncovers insights and suggests changes to the marketer.

Built on Funnel's data hub

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    600+ marketing connectors and auto-normalization

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    Structured, clean time series data for modeling

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    Persistent storage of all historical data

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    Outputs to BI tools (e.g., Looker, Tableau), data warehouses and Funnel Dashboards

Implementation

Part of the Funnel platform

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Integrate measurement results with other metrics in your dashboards - ROAS, CPA and more
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Compare actuals against budgets and targets
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Share results with stakeholders and clients through Funnel's reporting and portals
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Always working from clean data - no late, missing or incorrect inputs

img_reportLearn more about triangulation

Why rely solely on MMM, MTA or incrementality testing when you can use all three? Our approach utilizes the strengths of each methodology to offset their weaknesses. Discover how we achieve this, and how your business can benefit, by downloading our white paper.

Access the report

We just need your name and work email so that we can send it to your inbox. Fill out the form below to get the report.

Ready to measure what your marketing is doing?

Book a demo and see how Funnel Measure gives your team the confidence to act on your data.

FAQ

Does Funnel Measure include marketing mix modeling (MMM)? dropdown
Yes. Marketing mix modeling (MMM) is one of the core methods in Funnel Measure, the measurement add-on to Funnel's Data Hub. Measure also includes multi-touch attribution (MTA), incrementality testing, budget optimization and scenario planning. MMM runs at both channel and campaign level, so you can move from a high-level view to campaign detail in one place.
Which measurement methods does Funnel Measure use? dropdown
Funnel Measure combines marketing mix modeling (MMM), multi-touch attribution (MTA) and incrementality testing. MMM gives long-term impact at channel and campaign level without user-level tracking; MTA attributes results across tracked digital touchpoints; incrementality testing runs controlled experiments to confirm causation. Each is strong where the others are weak.
How does Funnel Measure combine these methods? dropdown
Funnel Measure uses triangulation to calibrate MMM with MTA and incrementality testing so the three methods cross-validate each other. It reduces the bias of any single approach and gives a more complete, trustworthy view of what your marketing is actually driving.
How is Funnel Measure different from a traditional MMM project? dropdown
Traditionally, MMM is often done as a one-off consulting engagement: expensive, slow and stale within months. Funnel Measure runs continuously on a trusted data foundation, covering online, offline, paid and organic channels, and validates results across methods instead of trusting a single model. MMM becomes part of ongoing optimization, not an annual report.
Do you need your own data warehouse or data pipeline? dropdown
No. Funnel Measure runs on its own built-in data foundation, so you don't need a separate warehouse or pipeline to get started. Your marketing data is collected, cleaned, normalized and continuously updated in Funnel's Data Hub, so the model always runs on governed, up-to-date inputs. You can also export the same data to your BI tools or warehouse.
How quickly can you get MMM results with Funnel Measure? dropdown
Weeks, not quarters. Because the data foundation and modeling are automated, you go from connected data to trustworthy results without the months-long implementation the old measurement stack required.
Are incremental insights provided at a campaign, ad set and/or creative level? dropdown
Insights can be at channel and/or campaign level. Ad-set and creative-level insights are statistically improbable. However, Funnel's integrated Data Hub, Funnel AI, MCP connection and reporting capabilities let a channel specialist dig into campaign data and hypothesize why certain channels may have struggled during a given period.

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