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

incrmntal
"Uncovers true ad effectiveness without user data."
Focused on Incrementality & Media Mix Modeling (MMM) and Privacy-Centric Modeling .
INCRMNTAL helps marketers measure ad impact without needing user-level data. It continuously analyzes campaigns, allowing ad spend to keep going without interruption. Using causal data science, it gauges what truly moves the needle across iOS, Android, and other channels. This approach lets marketers allocate budgets based on real impact, not assumptions.
Causal Analytics Approach
INCRMNTAL claims that its measurement platform utilizes causal data science and anomaly detection to accurately identify marketing changes and determine campaign effectiveness without relying on user-level data.
Privacy-Focused Measurement
INCRMNTAL claims that its platform enables privacy-led marketing measurement without the need for any user-level data, addressing the challenges of a privacy-first world.
Cross-Platform Capabilities
INCRMNTAL claims that its platform can measure performance across various channels, including iOS, Android, Web, TV, Influencer Marketing, and Out-of-Home, without relying on personal identifiable information (PII) or user-level data.
Standard
"Analyzes camera footage for shopper behavior insights."
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Standard AI processes security footage to reveal shopper behaviors in real-time. Retailers gain e-commerce-level tracking by understanding where customers move, linger, and interact. This tool decodes in-store experiences without adding new hardware, helping brands and stores get actionable insights for better merchandising, media impact, and customer experience.