SkyPoint Cloud launches product with predictive insight

Customer data platform SkyPoint Cloud today announced the launch of SkyPoint Predict, predictable customer insight driven by artificial intelligence (AI). SkyPoint combines fragmented customer data from multiple systems and applications into comprehensive “customer 360” profiles. SkyPoint Predict creates an enhanced customer experience while giving business and technology users the tools to secure, manage and access this data.

With today’s launch of SkyPoint Predict, the platform automatically enriches customer profiles with behavioral insights. Equipped with predictive analytics on each customer, brands can deliver personalized experiences, detailed segmentation and personalization; support advanced analysis; and do more to keep customers engaged.

For consumer brands, this means more loyal customers and higher lifetime value. For healthcare brands, this means more timely and more personal intervention to promote patient empowerment.

Now users can identify a customer’s predicted customer lifetime value (CLV), churn propensity – the speed at which customers stop trading a device – and product preferences. No model building or manual tuning is required on the part of the user.

Tisson Mathew, SkyPoint’s founder and CEO, said: “Predictive insight enables companies to anticipate customer needs and deliver experiences that drive engagement, improve health and build long-term loyalty.”

Predictive insight drives engagement

In an attempt to create a database with a brain, this latest launch from SkyPoint AI makes it a core part of profile enrichment. Predictive insight transforms data about an individual customer into assets that can then be used for population-level analyzes, segmentation and personalization of the customer experience.

SkyPoint has used machine learning in other parts of its platform, particularly in its proprietary identity resolution technology, which relies on algorithmic coupling of customer records with incomplete or inaccurate information. SkyPoint combines fragmented customer data with customer profiles and then gives users secure access to that data.

Two core infrastructure investments enable SkyPoint to deliver adaptive predictable insights. The first is SkyPoint’s use of open data standards, including the Common Data Model (CDM) and Fast Health Interoperability Resources (FHIR), which enforce well-defined semantics around business concepts. The other is an autonomous AI pipeline, supported through a partnership with Databricks.

“AI enables brands to see the people in their data and connect with them on a human level, even on a massive scale,” said Joelle Poe, Chief Product Officer at SkyPoint.

AI-powered profile enrichment

Consumer rights are expanding and the list of data protection legislation is getting longer every year, from opt-out models like CCPA and CPRA to opt-in models like GDPR. Through a self-service privacy center, DSR automation, real-time data cards and a zero-confidence data box, SkyPoint claims that it will facilitate privacy by making consumer data and preferences accessible, centralized and action-oriented.

SkyPoint’s clients include healthcare, e-commerce and retail, hospitality and sports and media brands, including Wyld, Vivante Health, Ace Hotel and Portland Timbers.

Chris Thompson, Director of CRM and Analytics at Portland Timbers, said: “SkyPoint connects to all of our data and technology. I can put together different audiences and insights to understand what our fans want and need. By having information on one easily accessible place, SkyPoint helps our team work effectively to overcome problems and produce results. “


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