Appboy assembles customer data and executes cross-channel campaigns as customers move through different lifecycle stages. They’re big, processing more than 750 million active users per month. They’re getting bigger, having just raised a $50 million Series D, bringing total funding to $95 million. They’re getting more open, having recently announced connectors to feed data to Customer Data Platforms mParticle and Segment, as well as Amplitude and Amazon Redshift.

Chances are you also haven’t given much thought to physical product packaging, unless that’s your specialty. But the folks at Danaher have, since they own and several businesses related to it. They sponsored a CMO Council survey that found 66% of marketers believe their customers are very sensitive to alignment between physical and digital experience. Oddly enough, they didn’t ask how many actually achieve such alignment. But they did find that changes to physical presentation take much longer than digital changes. Duh.

Unauthorized training data isn’t an existential threat to generative AI but it’s certainly a headache for users and developers alike.  Most developers are trying to exclude materials that creators have explicitly labeled as unauthorized and citing “fair use” as justification for copying everything else.  Getty Images has taken an opposite approach, building its gen AI tool only on materials that are explicitly licensed.  It’s possible that tracing the provenance of training data will become a standard, similar to how organic food producers trace the origins of their ingredients.