Recast
Ridding the world of wasted marketing spend through privacy-friendly attribution, modern Bayesian statistics, and automated data pipelines. Most clients using Recast can improve their blended ROI by 10% within 6 months, achieving faster and more efficient growth. Recast does not use any user-level or cookie data, so it is easy to set up and will not be affected by changing privacy regulations that affect other measurement methodologies. Recast helps optimize your marketing performance by accurately measuring the true impact of your marketing in real time. Built to help modern marketers adjust spend based on real-time performance. Confidence intervals for every ROI, saturation curve, and time shift estimate. Predicts where the next dollar will be most effective because they are different and impactful concepts. Recast’s fully Bayesian model lets us incorporate your business context right into the code.
Learn more
Measured
Measured provides marketing attribution & cross-channel view across all media channels, PLUS media incrementality testing. Turn on 100+ audience level experiments across Google, Facebook and on 70+ integrated media platforms. Identify Media Waste, Test for Scale. Capture up to 30% marketing efficiency. Powered by incrementality measurement.
Ask us for a FREE demo today!
Solutions provided:
- Marketing Attribution, Cross-Channel View of Marketing Spend
- 70+ integrations on major media platform like Google, Facebook, Verizon Media, Criteo, AdRoll, SnapChat, YouTube, and more!
- Run always-on, A/B, incrementality tests seamlessly
- Integration is easy, be up and running in less than 24 hours
- Understand maximum, efficient spend levels without an expensive stress test
Learn more
Stella
Stella is a marketing-measurement platform built to give marketers clear, scientifically sound insight into which ads, campaigns, and media channels actually drive incremental revenue. It includes three core tools; Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). With Incrementality Testing, Stella runs geo-holdout studies (or inverse holdouts) to compare performance between test and control regions, isolating the causal impact of your ads rather than relying on attribution alone. It automatically handles complex statistical analyses (causal inference, confidence intervals, MAPE/R² checks), letting you see what would have happened without a campaign and therefore revealing the true “lift” generated by each ad. Its Media Mix Modeling tool uses a proprietary Bayesian MMM to decompose historical marketing spend and external factors (like seasonality, promotions, holidays, weather, etc.) to estimate each channel’s contribution to sales.
Learn more
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.
Learn more
