Customer Insights Based on Revenue

Customer-level analysis helps identify which customers contribute the most to overall revenue. This is important for understanding customer value and prioritizing key accounts.

Code:

# Analyze revenue by deal size

top_customers = df.groupby('CUSTOMERNAME')['SALES'].sum().reset_index().sort_values(by='SALES', ascending=False).head(10)

top_customers

plt.figure(figsize=(5,2))

sns.barplot(

data=top_customers,

x='CUSTOMERNAME',

y='SALES'

)

plt.title("Top 10 Customers by Revenue")

plt.xticks(rotation=75)

plt.ylabel("Total Sales")

plt.show()

Insights:
The chart highlights the top revenue-generating customers. It shows that a small number of customers often account for a large share of sales. This insight is useful for customer retention strategies, targeted marketing, and relationship management.