New features include a no-code interface for connecting Celebrus to any external application and enhanced content detection for measurement and modeling

D4t4 Solutions Plc, a leading innovator in customer data, management, and analytics, today announced the latest version of its Celebrus Customer Data Platform (CDP), which includes an easy-to-use API Connector and improvements to measure how visitors interact with targeted content, to help organizations find greater value in their data and integrate it throughout their technology stacks.

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With a no-code interface, the Celebrus API Connector addresses some of the most frequent sources of frustration in integrating data across enterprise platforms and applications, which too often prevent seamless data orchestration.

“Data is only valuable if you can use it, and when it comes to integrating digital data across multiple technologies, many organizations are frustrated with how difficult and time consuming it can be to piece their data together,” said Bill Bruno, CEO of D4t4 Solutions. “Connecting multiple systems using out-of-the-box APIs often requires complex coding, customization and maintenance. We’ve eliminated that hassle with the Celebrus API Connector, which generates all the code necessary to create a fully functional API that can be quickly implemented and tested, enabling faster time to value with real-time results.”

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In a recent survey conducted by Forrester, 61% of organizations said that capturing and making sense of digital customer data is difficult for them, and 55% admit understanding customers across all touchpoints and lifecycle stages is difficult. The downstream impact of poor data capture, integration and contextualization is that activation technologies, such as campaign management or decisioning, can never reach their true potential.

Consumers also demand a personalized experience, but what many organizations do not realize is that their offers and content personalization efforts may never truly reach the consumer in the intended manner. Visibility Detection 2.0 addresses these challenges by generating accurate insights into how visitors interact with targeted content, with common benefits including:

• More accurate predictive analytics models for real-time decisioning and outbound marketing
• Improvements to marketing mix modelling or multi-touch attribution models to drive better return on marketing spend
• Better funnel reporting to accurately compare the performance of different pieces of content and messaging
• Enhanced compliance and auditability for whether customers have reviewed terms and conditions and regulatory content

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