Incrementality Experiments
Incrementality That Combines MMM, Geo Testing, and Continuous Optimization
Budgets get allocated to siloed P&Ls, based on archaic measurements that can’t see the whole picture. Geo tests measure the entire incremental impact of your media across all revenue streams so you can invest with clarity.
Measurement Doesn’t Matter If It Doesn’t Move the P&L.
A model tells you where to look (MMM), a test tells you if you're right (MMT).
Every measurement method has its flaws. A marketing mix model is backwards looking, and without validation can overestimate the impact of marketing. A geo test on its own is simply a snapshot in time, and as seasonality and factors change so too does your media effectiveness. Using both ensures that the MMM is informed by causal experiments hypothesized by what the model predicts.
We build a custom model from your historical data, channel by channel, day by day, to quantify what’s actually contributing to business outcomes and what’s just noise.
The model measures baseline revenue (what happens without marketing), individual channel and tactic impacts, cross-channel interaction effects, and external factors such as seasonality and macroeconomic shifts. This is your directional compass: it tells you where to place your bets and which assumptions to test first.
We match predictive geographic markets and isolate the variable (revenue, CAC, leads) to measure true incremental lift against a control. Whether that’s pulling spend back, scaling it up, or testing something new, every test is designed around your business and run alongside your team.
We start with customer intelligence to ensure we’re testing against the right audience, then feed results directly into a media plan that reallocates budget based on what actually drove growth.
Each experiment makes the model smarter. Confirmed results strengthen the model’s priors. Surprises force a recalibration. Over time, you move from a cold model running on historical data alone to a warm model running on historical data plus a growing library of validated causal evidence.
The loop: MMM surfaces the hypothesis. Matched market test runs the experiment. Results feed back into the model. Updated recommendations go to every team that needs them. Six months in, your model isn’t guessing anymore. It’s learning.
Incrementality testing sounds straightforward in theory. In practice, it requires precise market matching, careful test design around seasonality, coordination with media teams and agencies, and, most critically, someone who knows what the results actually mean for your budget.
Our team has a marketing and science background and experience running 3,000+ incrementality experiments and managing billions in ad spend. That experience shows up in choosing the right control markets, setting test windows that produce statistically significant results, and translating findings into recommendations a leader can act on.
Ready to Know What Your Marketing Actually Caused?
For executives who need to know which dollars are actually driving growth and which aren’t. Request a free incrementality assessment to see where your budget is really creating lift.
How fusepoint Uses Incrementality Experiments to Prove Marketing Impact
Incrementality experiments (matched market testing) are the gold standard for understanding the true effectiveness of marketing. Rather than relying on attribution models or platform-reported metrics—which often exaggerate performance—incrementality experiments use controlled experiments (test group vs. control group) to reveal the incremental lift of your campaigns, channels, and tactics.
This approach separates natural business growth from marketing-driven outcomes, giving executives and marketers a clear view of where marketing investments create real impact and where it doesn’t.
Why Incrementality Testing Matters
Modern marketing measurement is challenged by:
- Privacy restrictions that limit data access
- Fragmented customer journeys across online and offline channels
- Platforms being incentivized to overstate performance
Incrementality testing cuts through these challenges by:
- Establishing causal evidence of performance, not just correlations
- Providing inputs to calibrate marketing mix modeling (MMM) for more accurate forecasts
- Informing media planning decisions with evidence-backed clarity
- Building organizational confidence in marketing’s contribution to growth and revenue
Types of Incrementality Experiments
fusepoint designs and executes incrementality experiments that align with business goals and marketing strategy. Common approaches include:
- Channel-level tests – Measure the incremental impact of channels such as meta ads, TikTok ads, Amazon DSP, or CTV.
- Tactic-level experiments – Run holdouts on audiences, creatives, or placements to evaluate which specific elements are driving conversions.
- Growth and holdout testing: Remove or increase activity in selected markets or audiences to separate baseline performance from marketing-driven gains.
- Campaign-specific testing – Assess whether launches, promotions, or product pushes generate incremental outcomes or simply shift existing demand.
Each method is a controlled experiment to ensure statistical significance and actionable insights.
How Incrementality Supports Broader Measurement
Incrementality experiments are not one-off exercises. They are part of a broader marketing measurement system:
- Calibrating MMM – Incrementality results provide priors for media mix models, improving accuracy and reducing blind spots.
- Media planning optimization – Insights feed into budget allocation, helping brands cut wasted marketing spend and double down on proven channels.
- Forecasting business outcomes – Experiments translate into measurable inputs for revenue projections, customer growth, and ROI analysis.
This integrated approach ensures that insights are not siloed but actively shape strategy across marketing, finance, and leadership teams.
The fusepoint Advantage
Many brands avoid incrementality tests because of perceived complexity or cost. At fusepoint, we make it achievable by:
- Using industry and channel-level benchmark tests as priors when rapid testing isn’t possible
- Designing scalable frameworks so experiments become part of ongoing marketing strategy, not ad hoc projects
- Delivering executive-ready insights that connect results directly to business outcomes
- Combining incrementality with MMM, media planning services, and P&L to give brands a 360° measurement strategy for their marketing efforts and overall business success
Proving Real Impact
Incrementality experiments move marketing conversations from “what might be working” to “what we know is driving growth.” By running structured, repeatable tests, brands gain clarity on:
- The incremental revenue created by each channel
- Which tactics deserve greater investment
- Where budgets can be reduced without hurting performance
- How to defend marketing’s role in overall business growth
With fusepoint, incrementality isn’t just an experiment—it’s a pathway to smarter decisions, stronger ROI, and measurable long-term success.