Customer journey platform Kitewheel was a bit more specific, announcing new journey measurement capabilities based on letting users identify journey steps as journey objectives. They also announced a new ID manager that can resolve identities across systems to create unified customer profiles.
I can’t find any reason to mention that today’s date of 9-19-19 is a palindrome, so I guess I won’t. I will note the news is all about self-service, starting with a new machine learning function in Tealium’s AudienceStream CDP. The new feature natively reads data gathered by AudienceStream, creates predictive models, and shares the resulting model scores through Tealium’s integrations. All without anyone writing a single line of code.
In more news from the personalization front, Dynamic Yield has added profiles based on attributes of products that users have browsed. This supplements profiles based on actual purchases. The segments can be deployed across any channel where a customer has been identified.
GrowthLoop will use TransUnion identity data to improve U.S. consumer match rates on client files sent to advertising media such as Facebook and Google Ads. The data should also help clients to find matches among records within their files, building more accurate customer profiles. GrowthLoop calls itself a “composable CDP”, meaning it works with data assembled in external data warehouses.