Synthetic customers meet synthetic CMOs (and CFOs): Evidenza clones Sharp, Ritson, Binet & Field to build annual marketing plans in minutes; Mars, EY sign-up

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The effectiveness “revolution” is colliding with the AI-spawned efficiency uprising and it’s leaping the early consensus AI use cases in marketing around automating personalised content and communications. So much so Mark Ritson choked on his Wellfleet oysters when Jon Lombardo and Peter Weinberg told him they were leaving top jobs at the LinkedIn-backed thinktank, the B2B Institute. Then they told him why. Ritson promptly joined their venture, along with what Weinberg calls “the advisory board to end all advisory boards”. Thus the synthetically-enhanced AI marketing outfit Evidenza was born.

The founders argue their new piece of “synthetic customer” tech, which starts with creating AI copies of target customers, can create an annual marketing strategy, category entry points, messaging and positioning at a fraction of the cost of traditional market research and in a fraction of the time it takes for a marketing team to do the same. They claim it completes major research projects in minutes – and have proven their digitally synthetic customers match real customer responses it took some of the world’s biggest brands long cycles to gather. “It can imitate essentially anyone by gathering and synthesizing massive amounts of data,” per Weinberg, including almost impossible-to-reach professionals, like airline chiefs, or the bosses of mining companies. Which is exactly what Evidenza did in a head-to-head test with EY Americas CMO Toni Clayton-Hine’s actual survey data – and “reached 95 per cent of the same conclusions,” per Weinberg. EY “has been a fantastic client ever since.”

But as well as synthesizing customers, the system also synthesizes marketing strategy and science: Imagine on one side a synthetic combination of Mark Ritson, Professor Byron Sharp teamed with ad effectiveness maestros Peter Field and Les Binet. Then on the other side, hundreds of synthetic CEOs, CFOs, CTOs, CIOs, CMOs and each of those functions linked to the nuances of different industries and categories. Put them all into an AI blender, and you get what Lombardo and Weinberg think is an efficiency revolution in marketing fused with the effectiveness revolution from the marketing academics. The upshot for marketers? “A finance-friendly marketing plan that used to take months now takes maybe minutes, but more likely, a day,” per Weinberg. According to Lombardo that’s good news even for traditional market researchers. “Everyone is going to get better. Average is over.” So what’s left for the humans? The synthetic duo say the smart stuff - experience, strategic frameworks and brand and category nuance, for instance - that makes the machines do better.

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