Personalization is probably the main way that consumers interact with AI-based marketing. This Optimove survey finds just 26% feel “very positive” about it, while another 27% think it’s beneficial but have some reservations, 28% have objections, and 19% are neutral. Concerns about data use and being watched head the list of objections to AI; only 15% of respondents had no concerns at all.
Efficiency, segmentation, and research top marketing leaders’ list of items to improve, in this Aptitude8 survey, but improving the data hygiene these all rely on ranks last. Seems to be a bit of a disconnect. Also interesting: personalization is the least common use of AI (25%). Measurement (47%) and research (43%) head the list and content creation (38%) is somewhere in the middle.
Consumers may be lukewarm about AI, but they are passionate about their apps. Cisco finds that 88% have stopped using an app due to performance issues in the past year and 76% are trying to limit the number of apps on their devices. Two-thirds (66%) now want to use only the best apps and expect an exceptional digital experience as a standard. How exceptional can be standard, I don’t know.
Amperity has launched Lakehouse CDP, which delivers CDP functions within “lakehouse” data stores including Snowflake and Databricks. Amperity tools for data modeling, data quality, identity resolution, generative AI, segmentation, and performance measurement will send all results to a company’s own lakehouse rather than a separate Amperity-managed database. Modules can be used independently but the real benefit here is that Amperity is one of the few “composable” CDP vendors who offer a complete set of pre-integrated CDP functions.