Salesforce is claiming a bit more Account Based Marketing turf with a pair of new features. One uses Einstein AI to find and prioritize key accounts. The other, more intriguingly, lets marketers create “personalized ABM campaigns for every buyer within top-tier accounts…even if they do not have any contacts for that account”. That’s either really hard or really easy. I think what they mean is the campaigns are ready to go when a contact does show up.
Bees to honey or sharks to blood? Either way, adtech vendors keep swarming to replace lost customer identifiers. In today’s news: ad platform LoopMe reports its predictive models for inflight campaign optimization work 96% as well when identifiers are removed, apparently because they look at real-time behaviors rather than history. MetricWorks has combined econometrics and automated experiments to measure the incremental impact of mobile marketing campaigns. Amobee and InfoSum are partnering to enhance Amobee’s audience targeting with InfoSum’s privacy-safe audience data.
It’s probably inevitable that every targeting technique will now be described as cookie alternative. Here we have Epsilon and Verizon Media touting a ten-year-old program that tracks consumers with a combination of transactional data assembled by Epsilon and Verizon Media’s massive first-party data sets. What’s seems to be new is tighter integration between the two sets of identifiers.
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.