Customer Analytics
Customer Analytics helps you understand who your customers are, how often they return, and how much they spend. This data is essential for building loyalty programs and making informed business decisions.
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Walk-in customers (without a linked profile) are NOT included in customer analytics. Only registered customers appear in these reports.
Three Analysis Tabs
1. Overview
A snapshot of your customer base:
| Metric | What It Shows |
|---|---|
| Total Customers | How many customers are registered |
| New Customers | Added in the selected period |
| Returning Customers | Customers who made repeat purchases |
| Avg. Customer Lifetime Value | Average total spending per customer |
2. Retention
Shows how many customers come back and how often:
| Metric | What It Shows |
|---|---|
| Retention Rate (%) | Percentage of past customers who returned |
| Repeat Customer Count | Customers with 2+ purchases |
| Churn Rate | Percentage of customers who haven't returned |
A visual chart shows customer retention trends over time.
3. Spending
Shows how much customers are spending:
| Metric | What It Shows |
|---|---|
| Total Customer Spending | All money from registered customers |
| Average Spending | Total ÷ number of customers |
| Highest Spender | Your best customer by total spending |
| Spending Distribution | How many customers in each bracket (₹0-500, ₹501-1000, etc.) |
Example: Improving Customer Loyalty
Owner Priya wants to improve customer loyalty.
- Overview: Total: 250 customers, New: 45 this month, Returning: 120
- Retention: Rate: 65% — decent, but room to improve
- Spending: Average: ₹850, VIP customer at ₹8,500
Actions:
- Create a loyalty program targeting 75%+ retention
- Offer upsell discounts to move ₹500-1000 customers to higher tiers
- Give special attention to the VIP customer
Coming Soon
- Branch Performance Analysis — Compare performance across multiple branches
- Employee Performance Analysis — Track which staff members generate the most revenue