Compare Earnest Analytics to Celebrus head to head on Blurbs

Blurbs comparison of Earnest Analytics 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

Earnest Analytics

"Transforms raw data into actionable consumer insights"

Earnest Analytics helps marketers by using comprehensive consumer data sources to predict trends, benchmark competitors, and track performance. It provides real shopper data, cutting down on guesswork and offering a clear view into customer behaviors and market changes. A toolbox for informed, data-driven decision-making without unnecessary complications.

High accuracy revenue predictions

Earnest Analytics claims that their data has a 90% accuracy rate for revenue surprises, setting them apart in the market.

Analyst-validated data context

Earnest Analytics claims that their industry expert analysts track and validate data for skews, offering more than just numbers.

Real-time consumer insights

Earnest Analytics claims their data allows for real-time marketing and merchandising adjustments, avoiding reliance on quarterly reports.

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.