Data and process integration vendor SnapLogic had two announcements yesterday: AI-powered workflows to automate IT integration projects and self-service machine learning. SnapLogic argues that “machine learning is an integration problem” because of all the data preparation and movement involved. It’s an odd perspective but it does illustrate automation of yet another process that once required highly skilled humans.
Here’s a rare treat, Dear Reader: three items about Customer Data Platforms. We’ll start with news that B2B CDP Leadspace has launched a native Salesforce integration making Leadspace’s contact data, intent signals, and predictive modeling scores available directly within the Salesforce CRM interface.
Where’s all the money coming from for these new tools? Gartner estimates that technology expanded its share of total marketing budgets to 29% in 2018, up from 22% in 2017. But don’t take this too seriously: the figure was 27% in the 2016 study. With a relatively small sample of “over 600” marketing leaders, the statistical significance of these shifts is doubtful. But the larger truth is clear: marketers spend a lot of money on tech.
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.