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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.

InMarket
"Links brands with consumers in real time"
Focused on Audience Targeting & Data Activation and Customer & Market Intelligence .
InMarket enhances marketing by using real-time data to connect brands and consumers right when it matters. They optimize ad spending and drive measurable growth through real-time marketing techniques. InMarket's platform enables marketers to effectively bridge consumer intent with actual purchases, creating seamless connections across various media channels.
Data-Driven Insights
INMARKET claims that their platform is powered by 60+ Petabytes of data to help discover what matters most for actionable consumer insights.
Real-Time Optimization
INMARKET claims that their real-time optimization engine improves in-flight media effectiveness by up to 10x compared to industry benchmarks.
Precise Targeting
INMARKET claims that their AI-Driven Predictive and Real-Time Omnichannel Activation generates average CTRs 5x higher than industry benchmarks.
Daasity
"Centralizes and analyzes consumer brand data seamlessly."
Focused on Performance & Attribution Analytics and Data Infrastructure & Enrichment .
Daasity unifies all your disparate data sources into a central hub for comprehensive analysis. It distills complex eCommerce and retail data into actionable insights, allowing precise market forecasting and strategic planning. Teams gain a unified platform to enhance collaboration and accelerate informed decision-making without cumbersome data management headaches.
Unified Data Control
Daasity claims that it unifies omnichannel data streams, providing a clear view of operations, helping uncover opportunities for growth.
Customized Insights Delivery
Daasity claims that it can send key reports directly to your inbox, ensuring that you're always up-to-date with crucial data insights.
Scalable Reporting Solution
Daasity claims that its platform supports multimillion and multibillion-dollar brands, adapting to any scale and data complexity.