Customer Relationship Management (CRM) - Lead Scoring Engine

 

Notes:

• Problem Solved: Automatically scores leads based on engagement and fit, prioritizing sales follow-ups.

• Customization Benefits: Adjust scoring logic based on your customer persona or sales cycle.

• Further Adoption: Integrate with email systems, web tracking, or CRM platforms like Salesforce or HubSpot.

Python Code:

import pandas as pd

def score_leads(df):

    def calculate_score(row):

        score = 0

        if row['industry'] in ['tech', 'finance']: score += 20

        if row['email_opened'] > 3: score += 10

        if row['website_visits'] > 5: score += 15

        if row['demo_requested']: score += 30

        return score

    df['lead_score'] = df.apply(calculate_score, axis=1)

    return df.sort_values(by='lead_score', ascending=False)

# Example

lead_data = pd.DataFrame([

    {'name': 'Alice', 'industry': 'tech', 'email_opened': 5, 'website_visits': 7, 'demo_requested': True},

    {'name': 'Bob', 'industry': 'retail', 'email_opened': 1, 'website_visits': 2, 'demo_requested': False}

])

print(score_leads(lead_data))