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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Bliss Point by Tinuiti
Bliss Point by Tinuiti is a patented, AI- and machine-learning-powered marketing measurement and decision platform that centralizes and unifies performance insights across a brand’s full media mix, including online, offline, brand, creative, and customer data, so marketers can uncover what drives growth and eliminate wasted spend. It combines multiple advanced tools into one measurement suite, such as Rapid Media Mix Modeling (rMMM) for fast, transparent causal media analysis, Always-On Incrementality Testing to continuously validate the true impact of channels, Brand Equity measurement to link media investments to brand outcomes and revenue, Creative Insights to identify high-impact creative attributes, Geo Media Mix Modeling to optimize by location, and Customer Insights that turn first-party data into detailed demographic segmentation and penetration analysis.
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Data Poem
Data Poem is the Enterprise Decision AI company. Most large organisations run on dozens of disconnected models and dashboards that describe what happened but cannot say what to do next. POEM365, its Large Causal Foundation Model, unifies them into one causal system, mapping how every driver of spend, demand and price moves revenue. Pre-trained on 250 billion transactions and five trillion dollars of spend data, it deploys in around six weeks. Fortune 500 brands in CPG, retail, automotive and e-commerce use it to forecast revenue, plan budgets, optimise campaigns and grow.
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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.
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