Compare the Top Incrementality Testing Tools in the USA as of January 2026

What are Incrementality Testing Tools in the USA?

Incrementality testing tools help marketers measure the true causal impact of their advertising and growth campaigns by isolating what results would have happened without the marketing effort. These tools run controlled experiments—such as holdout groups, geo-testing, or matched-market tests—to determine whether an action actually drives incremental revenue, conversions, or lift. They cut through attribution noise by focusing on statistically valid comparisons rather than last-click or multi-touch modeling alone. Modern incrementality platforms use machine learning to automate experiment setup, validate sample sizes, and deliver reliable, real-time reporting. With these tools, teams can optimize budgets, improve ROI, and eliminate wasted ad spend with confidence. Compare and read user reviews of the best Incrementality Testing tools in the USA currently available using the table below. This list is updated regularly.

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    Skai

    Skai

    Skai

    Introducing the engine for full-circle intelligence, deeper customer connections and insights-driven success, from concept to commerce. Make smarter, predictive decisions at every turn with all the data you need and faster time-to-insight. Our rich data solutions provide AI-contextualized actionable intelligence about consumer sentiment, market trends, competition and more. Customer interactions happen everywhere. Maximize every touchpoint with the the broadest reach and gain the power to engage across all critical retailers, DTC channels, search engines, social media and more. Get more return from your ad spend with flexible, robust and cross-channel performance media activation. Skai’s™ solutions are industry-leading, with seamless ecosystem integrations, for data-driven campaigns and results that exceed KPIs.
  • 2
    Lifesight

    Lifesight

    Lifesight

    Lifesight is a unified marketing measurement platform that helps marketers move away from inaccurate measurement techniques and enables them to measure their full-funnel marketing using modern measurement methods like marketing mix modeling, incrementality testing & causal attribution - Helping them make better decisions that result in sustainable & profitable growth.
  • 3
    Haus

    Haus

    Haus

    ​Haus is a marketing science platform that enables brands to measure the precise business impact of their advertising efforts, both online and offline, through automated incrementality experiments. It offers products like GeoLift for geo-based incrementality testing, Causal Attribution for day-to-day incrementality reporting, and the upcoming Causal MMM for incrementality-powered media mix modeling. These tools allow users to design and launch experiments in minutes, obtain results in as little as two weeks, and optimize marketing investments with daily incrementality reporting. Haus emphasizes privacy-durable solutions that do not rely on pixels, cookies, or personally identifiable information, ensuring compliance with evolving privacy regulations.
  • 4
    Crealytics

    Crealytics

    Crealytics

    At Crealytics, challenging the status quo isn’t a tired cliché. It’s a key tenet of our company values. We help brands and retailers to activate their customer data. As a result, they master their paid media performance and acquire more new, loyal customers. Through performance advertising and marketplace solutions, we service over 60 eCommerce brands – including ASOS, Urban Outfitters and Foot Locker. Increase performance through improved measurement and data activation. Optimize biddable media to CLV master incrementality testing enhance marketplace offerings. Maximize brand relationships with smarter sponsored product Ads, build custom private marketplaces, integrate search, PLA & display programs, leverage dedicated sales support. Pinpoint customer values rely on precise calculations. We measure the exact value of every customer engagement, and then determine their contributed value after returns. Finally, we add a predicted lifetime value to their order margin.
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