Data Science and Analytics Tools - Sales Conversion Funnel Analysis

 Notes:

• What problem does it solve?
  Analyzes conversion rates at each step of a sales funnel to optimize marketing and sales strategies.

• How can businesses or users benefit from customizing the code?
  Businesses can track different steps in the sales process and optimize each stage for higher conversions.

• How can businesses or users adopt the solution further, if needed?
  Can be used to develop dashboards for sales teams to track conversion metrics regularly.

Actual Python Code:

import pandas as pd

import matplotlib.pyplot as plt

# Load data (assumed to have funnel steps and number of leads at each stage)

data = pd.read_csv('funnel_data.csv')

# Plot the funnel conversion

plt.figure(figsize=(8, 6))

plt.bar(data['Stage'], data['Leads'])

plt.title('Sales Funnel Conversion')

plt.xlabel('Funnel Stage')

plt.ylabel('Number of Leads')

plt.show()

# Calculate conversion rates between stages

for i in range(len(data) - 1):

    conversion_rate = (data['Leads'][i+1] / data['Leads'][i]) * 100

    print(f'Conversion from {data["Stage"][i]} to {data["Stage"][i+1]}: {conversion_rate:.2f}%')