Data clean rooms are secure environments where multiple parties can analyze and share data without exposing raw data to each other. They enable collaborative analysis while ensuring privacy, compliance with data protection regulations, and strict access controls. These rooms use privacy-enhancing technologies to anonymize or aggregate data, allowing companies to gain insights from combined datasets without compromising individual privacy or proprietary information. The typical users include advertisers, publishers, data providers, and tech companies seeking to perform joint data analysis for marketing, research, and business intelligence.
Incrementality Measurement Platforms are specialized analytics systems that help brands determine the true, causal impact of their marketing efforts. Instead of relying solely on correlation‑based metrics (like clicks or last‑touch attribution), these platforms use controlled experiments—such as geo‑tests, audience splits, and synthetic control models—to isolate the incremental lift generated by an ad campaign. This allows marketers to clearly see which channels, tactics, or audiences are genuinely driving additional conversions, revenue, or engagement, rather than simply capturing activity that would have happened anyway. The typical customers include digital-first brands, e‑commerce companies, and performance‑marketing teams seeking precise measurement of marketing ROI.