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

Adelaide Metrics
"Measures media quality with attention metrics"
Focused on Ad Verification & Viewability and Performance & Attribution Analytics .
Adelaide helps marketers assess media quality by using attention metrics like AU. It evaluates cross-channel media placements, predicting which are more likely to capture attention. Marketers can use this to reallocate spend towards better-performing ads, optimizing their campaigns based on a standardized 0–100 efficiency score.
Omnichannel metric
Adelaide claims that AU is an omnichannel metric proven to measure media quality more accurately than any existing metric.
Machine learning optimization
Adelaide claims that AU uses a machine learning model trained to outperform outcomes, reducing waste and getting better results.
Programmatic activation
Adelaide claims that AU is available everywhere – display, OLV, walled gardens, CTV, linear, and podcasts – with programmatic activation through DSPs.
TripleWhale
"AI-powered insights for ecommerce growth optimization."
Focused on Performance & Attribution Analytics and Multi-Touch Attribution (MTA) .
Triple Whale helps marketers streamline ecommerce by leveraging AI to analyze data and automate decisions. It provides a cohesive platform for identity resolution, attribution, and data insights. Moby Agents act as smart analysts, refining customer segments and optimizing ad spend across channels, driving revenue from real-time, data-driven decisions.
First-party data advantage
Triple Whale claims that their use of reliable first-party data enables better marketing decisions than relying on third-party data sources.
Customer insights directly
Triple Whale claims that their Post Purchase Survey feature allows brands to gain insights directly from customers for refining strategies.
AI-driven data analysis
Triple Whale claims their AI assistant Moby provides effortless data analysis, reporting, and forecasting through natural language queries.