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  2. 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-scoring-ai-sales-marketing/
    www.salesforce.com/eu/blog/predictive-lead-scoring-ai-sales-marketing/
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  3. People also ask
    How do you score a lead in Salesforce?However, for successful Salesforce lead scoring you have to take into account different types of interactions, not only emails. If a lead is interested in your products, their interactions will include emails communication as well as website browsing on products pages.
    Why is Predictive Lead Scoring so important?These predictive capabilities mean your reps not only get leads scored more quickly and at scale, but in such a way that reps become more confident in the score they’ve been given. Lead scoring can become as granular and nuanced as you want.
    How to use Einstein lead scoring in Salesforce classic?When you accumulate enough lead data, Einstein builds a scoring model with your data and uses the model with the better results. Using the Lightning App Builder, make sure that the Einstein Lead Scoring component was added to Lightning pages for leads. In Salesforce Classic, add the Lead Score field to lead page layouts.
    How do sales CRMs use AI to generate predictive lead scores?While the traditional method of lead scoring was labor-intensive—especially collecting data for each lead—today's sales CRMs increasingly automate data collection, while using AI to generate predictive lead scores.
     
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