WorkMagic
WorkMagic helps omnichannel brands measure the true impact of their marketing by combining incrementality testing, multi-touch attribution, and MMM into one unified platform. Its automated geo-based incrementality tests reveal what spend actually drives incremental sales across DTC, Amazon, retail, and wholesale. Instead of relying on guesswork or over-attribution from ad platforms, WorkMagic calibrates attribution models using real experimental results for maximum accuracy. Brands get a clearer view of performance, smarter budget allocation, and higher iROAS. Onboarding takes minutes, thanks to seamless integrations with Shopify, marketing channels, and marketplaces. With WorkMagic, teams finally understand what truly works—and what doesn’t—and can scale efficiently with confidence.
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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.
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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.
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Google Meridian
Google Meridian is an open source Marketing Mix Modeling (MMM) framework built by Google to help advertisers and analysts accurately measure the impact of their marketing efforts across online and offline channels without relying on cookies or user-level tracking. At its core, Meridian uses a Bayesian causal-inference model that can ingest aggregated data (spend, sales or KPI outcomes, reach/frequency, geo-level data, seasonality, and external controls) to estimate the incremental contribution each marketing channel (e.g., search, social, video, offline media) makes to overall performance, and compute return on ad spend (ROAS), response curves, and optimal budget allocation. Because it’s open source, users have full transparency into methodology and code, giving them control over model configuration, data inputs, and assumptions.
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