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Cloud Kicks wants to implement a methodology to determine which current leads have the most in common with leads that have successfully been converted in the past. How should the consultant meet this requirement?
Correct Answer: B
Einstein Lead Scoring in Salesforce uses machine learning to analyze historical data and identify which lead attributes are most predictive of successful conversions. This tool can help Cloud Kicks by determining which current leads share similarities with leads that have historically been converted. By leveraging this scoring system, Cloud Kicks can prioritize leads with the highest likelihood of success based on past data, optimizing their lead management strategy. For more on Einstein Lead Scoring, see: Einstein Lead Scoring Overview.