Introduction
In today’s data-driven marketing landscape, incrementality testing has become essential for brands seeking to prove the true, causal impact of their advertising spend. As cookies disappear and platform-reported metrics become less reliable, incrementality experiments, like geo-testing and holdouts, deliver unbiased, actionable insights that go far beyond what ad platforms report.
This guide ranks the top 10 incrementality testing companies and software platforms for 2024-2025, with detailed ratings, setup times, pros and cons, and trusted sources to help you make the best decision for your marketing measurement needs.
1. Measured
Overview
Measured is widely recognized as the industry leader in incrementality-based measurement. The platform automates geo-testing, multi-tactic experiments, and integrates with advanced Causal Media Mix Modeling (MMM) and attribution data for a unified, privacy-safe view of marketing impact. Measured is trusted by hundreds of top enterprise brands and is known for its scientific rigor, speed, and actionable reporting.
Pros
- Fast onboarding: 2–4 weeks to get started.
- Automated geo-testing: Platform handles market selection, test deployment, and monitoring.
- Multi-channel support: Digital, TV, offline, walled gardens, and more.
- MMM integration: Calibrate media mix models with real-world incrementality data.
- Actionable dashboards: Executive-ready, with clear recommendations.
- Expert support: Decades of experience, hands-on guidance.
- Privacy-first: No user-level tracking required.
- Transparent pricing: Plans include cross-channel incremental ROAS reporting and AI-powered recommendations.
- SOC 2 Type 2 & ISO 27001 Certified: Ensures data security and compliance.
Cons
- Best for mid-market and enterprise: May be more than needed for very small brands.
- Requires access to clean sales/conversion data.
Setup Time
- Initial onboarding: 2–4 weeks
- First actionable insights: 4–6 weeks
2. Neustar (TransUnion)
Pros
- Identity graph: Connects incrementality to people-based data.
- Integrated analytics: MMM, Multi-Touch Attribution (MTA), and incrementality.
- Enterprise-grade: Strong support and consulting.
Cons
- Complex setup: Requires data integration.
- Enterprise pricing.
Setup Time
- Initial onboarding: 2–4 months
- First actionable insights: 3–5 months
3. Rockerbox
Pros
- Easy setup: Fast onboarding for digital brands.
- MTA: Combines with incrementality for a holistic view.
- User-friendly dashboards: Clear, actionable insights.
Cons
- Limited offline support: Focused on digital channels.
- Less advanced for complex, multi-market geo-testing.
Setup Time
- Initial onboarding: 2–3 weeks
- First actionable insights: 3–5 weeks
Sources
4. Haus
Pros
- Modern, experiment-driven: Focus on causal measurement.
- Fast setup: Weeks, not months.
- Scenario planning: Good for “what-if” analysis.
Cons
- Less mature: Newer platform, fewer enterprise case studies.
- Limited offline support.
Setup Time
- Initial onboarding: 2–4 weeks
- First actionable insights: 3–5 weeks
Sources
5. Recast
Pros
- Open-source option: Transparency and flexibility.
- Fast setup: Weeks, not months.
- Affordable: Lower cost than enterprise solutions.
Cons
- Initial onboarding: 2–4 weeks
- First actionable insights: 3–5 weeks
Setup Time
- Initial onboarding: 2–4 weeks
- First actionable insights: 3–5 weeks
Sources
6. Meta (Facebook) Lift Studies
Pros
- Native to Meta: Easy to set up for Facebook/Instagram.
- No extra cost: Included with ad spend.
- Good for campaign-level lift.
Cons
- Walled garden: Only for Meta platforms.
- Limited transparency: Black-box methodology.
- No cross-channel view.
Setup Time
- Initial onboarding: 1–2 weeks
- First actionable insights: 2–4 weeks
Sources
7. Google Conversion Lift
Pros
- Native to Google: Easy for Google Ads users.
- No extra cost: Included with ad spend.
- Good for video/display lift.
Cons
- Walled Garden: Only for Google platforms.
- Limited transparency: Black-box methodology.
- No cross-channel view.
Setup Time
- Initial onboarding: 1–2 weeks
- First actionable insights: 2–4 weeks
Sources
8. Analytic Partners
Pros
- Custom experiments: Deep consulting and analytics.
- Scenario planning: Robust tools.
- MMM integration: Unified measurement.
Cons
- Enterprise focus: Not ideal for SMBs.
- Longer setup: 2–4 months to launch.
Setup Time
- Initial onboarding: 2–4 months
- First actionable insights: 3–5 months
9. ScanmarQED
Pros
- MMM and incrementality: Software for both.
- Training and support: Good onboarding.
- Customizable: Flexible for different industries.
Cons
- Requires in-house expertise: Not fully managed.
- Longer learning curve.
Setup Time
- Initial onboarding: 4–8 weeks
- First actionable insights: 6–10 weeks
10. Marketing Evolution
Pros
- Unified measurement: MMM, attribution, and incrementality.
- Scenario planning: Good for optimization.
- Enterprise support: Consulting and onboarding.
Cons
- Longer setup: 2–4 months.
- Enterprise pricing.
Setup Time
- Initial onboarding: 2–4 months
- First actionable insights: 3–5 months
Conclusion
Questions to Ask an Incrementality Testing Partner
Business fit: Does the solution scale for your size and complexity: enterprise, mid-market, or emerging brand?
Speed to insight: How quickly can the partner deliver statistically significant, decision-ready results?
Data readiness: Is your transaction and marketing data clean, accessible, and in a usable format?
Level of service: Do you need a fully managed solution, a self-serve platform, or a hybrid approach?
Budget alignment: How does pricing compare across enterprise consultancies, SaaS platforms, and other options?
Integration with MMM: Can the solution calibrate Media Mix Modeling with in-market incrementality results for a triangulated measurement approach?
Summary
Measured leads the pack for brands seeking fast, automated, and scientifically rigorous incrementality testing with actionable insights. For DTC and digital brands, Rockerbox and Recast offer agile solutions, while enterprise consultancies like Neustar and Analytic Partners provide deep expertise for complex needs. Native tools from Meta and Google are useful for single-channel lift, but lack cross-channel and causal rigor.
No matter your choice, prioritize partners that deliver not just data, but true, causal insights you can act on, quickly. For more information on Measured, please check out our Platform Overview and book a demo with a Measured expert today.