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Analyzing Potential Leads Data to Improve Marketing StrategiesBy Sarvesh Patil, Sambhaji Telang, Amruta Chatale, Pratiksha Patil, Prajakta Jadhav
Abstract: To develop a lead scoring model using multiple machine learning models and create a user-friendly web application, the first step is to clearly define the problem and collect relevant data from various sources such as CRM, website, social media, email campaigns, etc. After cleaning and pre-processing the data, identify the essential features that can affect the lead score and split the data into training and testing sets. Next, select a …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 18–25 Read article →