Compare InMarket to Celebrus head to head on Blurbs

Blurbs comparison of InMarket and Celebrus

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

Full Blurb

InMarket

"Links brands with consumers in real time"

Focused on Audience Targeting & Data Activation .

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.

Full Blurb

Celebrus

"Capture and activate digital identity data real-time"

Celebrus simplifies capturing and activating digital identity data across channels in real-time. It stitches together insights from logged-in, anonymous, or even offline actors, ensuring marketers have a comprehensive view. The platform's no-tagging-required approach minimizes data gaps, making personalization accurate and responsive.

True live-time data activation

Celebrus claims that it captures and activates first-party data in true live-time, offering a complete one-to-one identity map.

Advanced fraud solution

Celebrus claims that it provides the world’s most advanced, comprehensive fraud solution by integrating extensive data capture and behavioral biometrics.

Scalable data infrastructures

Celebrus claims that its Cloud infrastructure modernizes systems to scale effectively, reducing data analysis burdens and enhancing real-time data access.