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And it never gets tired. Note: Try Leadfeeder's 14-day free trial to see how we incorporate AI and machine learning for lead gen. You won't be dissapointed. AI improves lead quality: sourcing and scoring Everyone is interested in generating more leads. It’s the driving force beyond most marketing programs playing at a numbers game. The more interested prospects you have to engage with, the greater your potential for making a sale — unless the prospects aren’t relevant to your business in the first place.


Outside of simply generating leads, another crucial element of B2B sales and marketing is lead scoring. Of all the leads generated in a month, how many actually translate to sales?, the end goal of better understanding thailand telegram phone number list lead source quality and scoring is a more efficient, automated sales process. Teams can prioritize leads most worth the effort. AI comes into play here with its ability to help B2B marketers identify upfront which customers are most likely to buy.


When you consider that the average number of people involved in a B2B purchase is 6.8, this is an otherwise cumbersome process. Using AI in the lead scoring process gives companies the ability to account for behavior across numerous stakeholders. Predictive analytics bridges the gap between massive amounts of customer data and what to do with it. AI can monitor trends and patterns — making it easier for marketers to focus on the efforts that matter rather than trying to fit a one-size-fits-all approach for every lead sent their way.