How Machine Learning Drives Act-On’s B2B Marketing Automation
“Machine learning” for some is a buzz word that may or may not have substance behind it. Defined as a field of computer science, machine learning gives computers that use algorithms the ability to learn from and to make decisions without programming based on data.[i] In this interview with Michelle Huff CMO of ACT-On we learn how ACT-On is using ML to drive decisions that help their users sell more. The host is Jim Obermayer.
About our Guest Michelle Huff
Michelle is Act-On’s Chief Marketing Officer, and oversees the company’s brand, demand, and customer expansion marketing efforts. Michelle comes to Act-On with 17+ years’ experience helping market leading companies, including Salesforce and Oracle, connect customers with technology solutions to grow their business. Most recently, Michelle was GM of Salesforce’s Data.com division after having served as the VP of Marketing for the group. Prior to her tenure at Salesforce, Michelle was a Senior Director at Oracle and a Senior Product Marketing Manager at Stellent (acquired by Oracle). She holds a B.A in Business Administration from the University of Washington.
About Act-On:
Act-On Software is a marketing automation company delivering innovation that empowers marketers to do the best work of their careers. Act-On is the only integrated workspace that powers the customer experience from end-to-end, from brand awareness and demand generation, to retention and loyalty. With Act-On, marketers can drive better business outcomes and see higher customer lifetime value. Act-On is squarely focused on the success of its customers and offers consultant-level quality with everyday customer support. Act-On has been recognized for its superior product and rapid business growth by Deloitte, Forbes, and Inc. Magazine. For more information, visit Act-On Software.
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