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- Salesforce predictive lead scoring leverages data science and machine learning to analyze data and determine shared traits among leads that converted in the past and those that didn’t. It creates and tests predictive scoring models to identify the leads you should prioritize, helping focus efforts on prospects most likely to become customers123.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Predictive lead scoring leverages data science and machine learning to analyse data and determine shared traits among leads that converted in the past and those that didn’t. It creates and tests predictive scoring models to identify the leads you should prioritise, getting rid of the guesswork.www.salesforce.com/eu/blog/predictive-lead-scorin…Salesforce analyses (machine learning) your Lead data to identify characteristics of ‘successful’ (converted) Leads. Salesforce then gives Leads a score of 0-100, helping with prioritisation. This focuses efforts on prospects who are most likely to become customers.sfdcpenguin.com/blog/einstein-lead-scoring-predict…For predictive lead scoring, Salesforce offers a feature known as Sales Cloud Einstein. Einstein does a lot of things, including automatically logging sales interactions (e.g., emails and phone calls, but the main value comes in it's predictive lead scoring capabilities.hightouch.com/blog/lead-scoring-and-account-scori…
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