Welltok’s play for Predilytics marks its third acquisition to date following Mindbloom last year and IncentOne in 2013. The deal also gives Denver based Welltok a Boston office.
From the standpoint of Predilytics investor Flare Capital Partner Michael Greeley, the deal plays to the strengths of each of the companies, which have an overlapping client base. Each company has also recently raised money. and reflects the duality of the consumer as patient and patient as consumer.
It also illustrates an emerging trend of offensive and defensive M&A deals in the population health management space, Greeley noted in a phone interview. “The strong companies are finding each other and want to play to their strengths and the weaker businesses that are too small to go it alone.” He added, “Analytics in the market have been inadequate… Each of these companies addresses a white space in their offering.”
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Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
In response to emailed questions, Welltok CEO Jeff Margolis highlighted what the acquisition will do for the business.
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It will provide more insights on consumer intent and lead us to the right customers who will engage with CaféWell and be most receptive to optimizing their health.
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[Predilytics] understands consumer behaviors and preferences and will help us segment consumers, on behalf of population managers, before they even enter the CaféWell platform to provide a highly relevant experience, which will support engagement out the gate.
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We will be able to leverage Predilytics to provide guidance on how population health managers can best invest in health improvement programs and incentives to produce the highest health status at the lowest cost across their population.
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Predilytics and IBM Watson are essential to creating the level of personalization that we are drilling down to in CaféWell. Predilytics helps us understand consumer intent and who is most likely to be receptive and impacted, and then IBM Watson cognitive computing capabilities helps us to get to know those consumers over time and continue to refine recommendations with every interaction.
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