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February 26, 2025 30 mins

In this episode, Kathryn talks with Ari Sheinkin, CMO, IBM Consulting, discussing how data and testing unleashes creative potential. Ari dives into the 'data first' principle at IBM, the importance of understanding customers through data, and how this approach impacts marketing decisions. He also talks about an exciting campaign at Grand Central Station and how AI is improving campaigns. 

Guest Quote:

  • So a lot of the data science that I'm spending time now back with my old team is the idea of buying groups.  And the complexity of the buying dynamics when you have to message and engage with 17 different stakeholders and all their influencers at the same time.  And there's some really good insight that's come out of it, for instance, for us, is if we can get to four members or more of the buying group within 60 days, that's the trigger for us. Which we never really understood before. We thought there's lots of them, let's just throw our marketing out there. But it really ends up being what we call the four plus model. Four or more members of the buying group in 60 days on message, and we see a four times increase in our conversion rates.



Episode Breakdown: 

[03:07] Alchemy Unveiled: The data science of buying committees

Buying committees are very complex and marketing to them can feel like a major challenge. Ari gives us insights into the data science that has transformed how they reach large groups of stakeholders. 

[12:26] From Nuggets to Campaign Gold: Grabbing attention in Grand Central Station

Taking the tension out of the demand problem - don’t rush straight to demand. Taking the approach to introduce yourself and share information, instead of selling, can drive engagement in an impressive way. 

[26:01] Gold Rush: There’s no tension between data and creativity 

Data should never stop someone from being creative. It should allow creativity to exist in a testable framework, allowing for experimentation. 
 

Links & Resources:

Connect with Kathryn

Connect with Ari

Learn more about Deluxe

Learn more about IBM


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