In the same way that Ginger Rogers did everything Fred Astaire did, but backwards and in heels, B2B marketers do everything that B2C marketers do with more complex data and fewer information sources. Tech can help. Demandbase just announced Buying Group AI, which uses you-know-what to identify buying team members and their roles. It’s in beta for now.
When we saw this report that 99% of CIOs and CTOs plan to spend more on generative AI, we almost handed it over to our Department of the Obvious, but it was their nap time. Fortunately, the JetRockets survey also had some non-obvious results: 50% think generative AI should be regulated and 92% are training their existing staff in generative AI rather than replacing them.
Leadspace also has some AI-powered help for B2B marketers. They have released Revenue Radar, which uses “four-signal AI” to identify the companies most likely to buy. Sounds like lead scoring but it uses intent data and identifies the best contacts within the selected accounts.
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.