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Learn about how these Ad Measurement & Attribution vendors stack up against each other by checking out our blurbs, claims, and case studies.

Lifesight
"Unifies marketing data for measurement insights."
Focused on Incrementality and Media Mix Modeling (MMM) .
Lifesight helps marketers aggregate data from various channels to accurately measure attribution and incrementality. Its platform allows marketing strategies to be adjusted in real-time with AI-powered insights. This makes it easier to determine which strategies contribute to actual growth, eliminating unnecessary spending and focusing on what's truly effective.
Unified Measurement Methodologies
Lifesight claims that their platform uses a unified approach by combining marketing mix modeling, incrementality testing, and causal attribution to provide a holistic understanding of marketing performance.
AI-Powered Insights
Lifesight claims that they offer AI-driven actions enabling marketers to gain clear insights, optimize budgets, and drive growth in real-time.
Privacy-First Design
Lifesight claims that their platform is built for the privacy-first era, allowing real-time optimization while maintaining user privacy.
ReCast
"Unifies planning, experimenting, validating marketing performance."
Focused on Incrementality and Media Mix Modeling (MMM) .
Recast helps marketers cut through noise by offering transparency and rigor in marketing measurement. It provides tools for planning, experimenting, and validating marketing efforts. Its focus is on statistical accuracy and quality in marketing mix modeling, allowing companies to make informed budgeting and strategy decisions.
Rigorous process
Recast claims that it has the world's most rigorous marketing mix modeling (MMM) platform that focuses intensely on accuracy, radical transparency and model quality.
Highly accurate models
Recast claims that their process holds every model to an unparalleled performance standard before and after delivery, ensuring high accuracy.
Transparent approach
Recast claims to be radically transparent by openly publishing forecast accuracy & all model docs, emphasizing transparency throughout their process.