Measure WhatActually Matters
Incremental ROAS measures true marketing effectiveness by isolating sales that wouldn't have happened without your marketing—not just correlated spending that looks good in reports.
Most ROAS Numbers Are Wrong
Traditional ROAS counts all sales from customers who saw your marketing—but many would have purchased anyway. This inflates results and makes it impossible to know what's actually working.
Gross ROAS
Total revenue from offer users divided by marketing spend
- ✕Includes customers who would have bought anyway
- ✕Inflates perceived marketing effectiveness
- ✕Cannot survive CFO scrutiny
- ✕Leads to poor budget allocation
Incremental ROAS
Only incremental revenue (sales that would not have happened without the offer) divided by spend
- Measures true marketing effectiveness
- Identifies genuinely new customers
- Finance-grade accuracy
- Enables optimal budget allocation
How We Calculate Incrementality
Measuring true incrementality requires comparing outcomes between customers exposed to your marketing and a statistically matched control group who wasn't exposed.
The difference in purchase behavior between these groups represents true incremental impact—sales that genuinely resulted from your marketing activity.
Create Control Groups
Statistically matched cohorts who don't see the offer
Measure Both Groups
Track purchase behavior in test and control populations
Calculate Lift
The difference is your true incremental impact
Example Calculation
Example data. Individual results vary.
Why Incremental ROAS Matters
Accurate Budgeting
Know exactly which channels and campaigns drive real growth, so you can allocate budget where it actually works.
True Acquisition Cost
Calculate your real cost per acquired customer—not inflated numbers that include customers who weren't influenced.
Finance Credibility
Present metrics that CFOs trust, with transparent methodology and auditable calculations.
Ready for True Measurement?
See how Furthr calculates incremental ROAS for your campaigns with control group methodology and transparent attribution.