Adobe Launches AI-Powered Product Analytics for Experience Cloud

Adobe Launches AI-Powered Product Analytics for Experience Cloud

Adobe has announced the launch of a new AI-powered analytics solution for product teams, integrated into its Experience Cloud. This new service, dubbed Adobe Product Analytics, aims to provide product teams with direct access to key metrics throughout product lifecycles, which have traditionally been siloed and required data analyst intervention. This initiative is part of Adobe's broader update to its Customer Journey Analytics (CJA) service, which also includes AI-centric enhancements.

Context and Need for Product Analytics

Nate Smith, Adobe's director of product marketing for Adobe Analytics, highlighted that businesses have accelerated digital product development in recent years. However, in the current economic climate, they are tasked with continuing to add value, retain customers, and operate efficiently. He noted that while the initial mandate was to build "better products" defined by user adoption, companies are now realizing the need to break down internal data silos.

Customers are seeking a more integrated way to understand how their digital products contribute to revenue. Smith explained that the ownership of customer experience is converging, with all departments now playing a role, rather than it being solely the responsibility of marketing or product teams.

Addressing Data Silos

Traditionally, product teams faced a dilemma: either rely on internal data analysts or business intelligence teams for insights, or adopt standalone product analytics solutions. Both approaches often resulted in data silos, where product-specific data was disconnected from broader customer journey information. Adobe's new offering seeks to bridge this gap by providing a unified platform.

"They want the best of both worlds," Smith stated, referring to customer needs. "They want to have the ability for product teams to have — and to contribute to — cross-channel data and insights, but also to have an experience tailored to their personas and needs."

Integration and Key Features

Adobe Product Analytics is built upon the foundation of Adobe's existing Customer Journey Analytics (CJA) service. This integration ensures that product teams can leverage the comprehensive, omnichannel data capabilities already available through CJA, fostering a common language and framework across the organization.

A key feature of the new service is its guided analysis capability. This functionality is designed to assist product teams in formulating the right questions from the outset, enabling them to effectively identify patterns in user engagement over time, pinpoint areas of friction in the user journey, and ultimately optimize the product experience.

Customer Testimonial

The article includes a testimonial from Lindsey Weaver, vice president of global product analytics at Warner Bros. Discovery. She expressed enthusiasm for the new capabilities, stating, "We are excited about the new capabilities offered in Adobe Customer Journey Analytics for product teams, and the potential it will have to enable our product teams to uncover deep subscriber insights while collaborating across teams. With this unified view of the customer journey, Adobe is empowering us to better understand our subscribers and improve customer experiences across all our streaming products."

Event Promotion

Beyond the product announcement, the article also features promotional content for a "TechCrunch All Stage" event scheduled for July 15th in Boston. This event is positioned as a gathering for founders and VCs, offering strategies, workshops, and networking opportunities. Attendees can save on passes, with discounts mentioned for early registration.

Conclusion

The article is authored by Frederic Lardinois, an editor at TechCrunch, and includes standard social sharing buttons and links to related content and author information. The overall message is that Adobe is enhancing its analytics suite with AI to provide more accessible and integrated insights for product teams, addressing a critical need in the current business landscape for data-driven decision-making and improved customer experience.