pandas के साथ मार्केटिंग कैंपेनों का विश्लेषण
Jill Rosok
Data Scientist
सामान्य मेट्रिक्स:
$$ \text{Conversion rate} = \frac{\text{Number of people who convert}}{\text{Total number of people we marketed to}} $$
subscribers = marketing[marketing['converted'] == True]\ ['user_id'].nunique() total = marketing['user_id'].nunique() conv_rate = subscribers/total print(round(conv_rate*100, 2), '%')
subscribers = marketing[marketing['converted'] == True]\ ['user_id'].nunique()
total = marketing['user_id'].nunique()
conv_rate = subscribers/total print(round(conv_rate*100, 2), '%')
13.89 %
$$ \text{Retention rate} = \frac{\text{Number of people who remain subscribed}}{\text{Total number of people who converted}} $$
retained = marketing[marketing['is_retained'] == True]\ ['user_id'].nunique() subscribers = marketing[marketing['converted'] == True]\ ['user_id'].nunique() retention = retained/subscribers print(round(retention*100, 2), '%')
retained = marketing[marketing['is_retained'] == True]\ ['user_id'].nunique()
retention = retained/subscribers print(round(retention*100, 2), '%')
84%
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