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They’re both reliant on not only the leads

Posted: Sat Dec 28, 2024 8:29 am
by Liton920@
According to a Salesforce study, B2B marketers 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 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. Other vanity metrics and estonia business email database KPIs are irrelevant. AI in sales and marketing is relevant to both sides of the coin for better understanding a customer base.


However, it’s even more so the case for B2B companies operating off longer and more complex buying cycles. Machine learning can provide deep customer insights and help accelerate a customer’s decision-making process. Deepak Agarwal, VP Artificial Intelligence at LinkedIn, says, > “At LinkedIn, AI is like oxygen. We’ve been using it for over a decade to create the member experiences that people value most on our platform.