Quick Definition
Incrementality is a measurement approach that evaluates the true causal impact of marketing activities by measuring the difference between outcomes with marketing and outcomes without marketing (the counterfactual). Unlike attribution which assigns credit based on observed touchpoints, incrementality uses experimental methods (A/B testing, holdout groups, controlled experiments) to measure what would have happened without the marketing activity. Incrementality provides the most accurate measurement of marketing ROI because it isolates the causal impact of marketing from other factors. Incrementality is particularly important for evaluating brand marketing, awareness campaigns, and other activities where attribution is difficult.
Why It Matters
Incrementality is critical for B2B companies because it provides the most accurate measurement of marketing ROI. Traditional attribution methods can overstate marketing impact by attributing conversions that would have happened anyway. Incrementality enables companies to: accurately measure true marketing ROI, optimize budget allocation based on true impact, justify marketing investments to leadership, and make data-driven decisions about scaling or reducing specific activities. For B2B companies with complex sales cycles and multiple touchpoints, incrementality provides clarity on which activities truly drive results.
How It Works
Incrementality is measured using experimental methods: holdout groups (exposing a control group to no marketing and comparing to exposed group), A/B testing (randomly assigning users to treatment and control groups), and controlled experiments (measuring outcomes with and without marketing activity). The incrementality lift is calculated as: (Outcomes with marketing - Outcomes without marketing) / Outcomes without marketing. Incrementality should be measured for specific campaigns, channels, or activities and tracked over time.
Real-World B2B Example
A B2B SaaS company selling project management software measures incrementality for their content marketing program: they create a holdout group of prospects who do not receive content marketing (control group) and compare to prospects who receive content marketing (treatment group). After 6 months, the treatment group has 20% higher conversion rate than the control group. The incrementality lift is 20%, meaning content marketing caused a 20% increase in conversions. The company uses this to justify content marketing investment and optimize content strategy.
Common Use Cases
- Measuring true marketing ROI
- Evaluating brand marketing impact
- Optimizing budget allocation
- Justifying marketing investments
- Measuring impact of awareness campaigns
- Evaluating new marketing initiatives
Common Mistakes to Avoid
- Not using proper experimental methods to measure incrementality
- Using insufficient sample sizes for incrementality testing
- Not accounting for external factors in incrementality measurement
- Measuring incrementality for too short a time period
- Not tracking incrementality trends over time
Frequently Asked Questions
How is incrementality different from attribution?
Attribution assigns credit based on observed touchpoints. Incrementality measures true causal impact using experimental methods. Attribution can overstate impact; incrementality provides accurate measurement of what marketing actually caused.
How do you measure incrementality?
Measure incrementality using: holdout groups (control group with no marketing vs. treatment group with marketing), A/B testing (random assignment to treatment and control), and controlled experiments. Calculate incrementality lift as difference in outcomes.
Why is incrementality important?
Incrementality provides the most accurate measurement of marketing ROI by isolating causal impact. It enables accurate budget allocation, justification of marketing investments, and data-driven decisions about scaling or reducing activities.