B2C markets have had an easier

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Both technologies show no signs of slowing down. And from fashion to heavy equipment and construction, every industry has been forced to adapt; assessing and reinventing processes to avoid becoming obsolete. Generally speaking,go at incorporating machine learning and AI. AI in B2B businesses, on the other hand, has been slower to gain traction — despite the benefits.


This is now changing. According to a Salesforce study, B2B marketers honduras cell phone number list acknowledge AI as the technology they’re most likely to implement in 2020. This is certainly interesting, as only 10 percent of B2B marketers are using it today. In honor of the new decade, I thought the only logical course of action to take a look into where today’s B2B technology lies.


The case for AI and machine learning in B2B marketing and sales From a marketing standpoint, there’s overlap in the way B2B and B2C companies do business. They’re both reliant on not only the leads they’re generating but their qualified lead volume. If the end goal is to drive more revenue, success is a direct factor of whether what you’re selling is aligned with the people most likely to buy.