Ecommerce Analytics Every Indian Seller Should Monitor
Discover the essential ecommerce analytics Indian sellers must track—revenue trends, SKU performance, and channel attribution for smarter growth.
Bechna
Published February 12, 2026
1. Revenue Trends (Not Just Daily Sales)
Looking at daily revenue is reactive.
Tracking revenue trends is strategic.
What to monitor:
-
Weekly revenue growth
-
Month-over-month growth
-
Seasonal patterns
-
Festival spikes
-
Sale vs non-sale performance
Why it matters:
If revenue increases but profit drops, something is wrong—usually rising ad spend or discounting.
Focus on:
-
Revenue growth rate
-
Profit growth rate
-
Average Order Value (AOV)
Growth without profitability is dangerous.
2. SKU Performance (Your Real Profit Drivers)
Not all products perform equally.
Most stores have:
-
20% SKUs generating 80% revenue
-
30% SKUs barely selling
-
10% SKUs causing high returns
Key metrics to track per SKU:
-
Revenue per SKU
-
Gross margin
-
Return rate
-
Conversion rate
-
Ad spend per product
Why it matters:
You should:
-
Push high-margin winners
-
Fix high-return SKUs
-
Remove dead inventory
-
Bundle slow movers
Data helps you stop emotional product decisions.
3. Channel Attribution (Where Sales Actually Come From)
Many sellers think:
“All sales come from Instagram.”
But often:
-
Customer saw Instagram ad
-
Googled your brand
-
Returned via direct visit
-
Purchased after WhatsApp reminder
Without attribution tracking, you misallocate budget.
Track:
-
Paid ads (Meta, Google)
-
Organic search
-
Direct traffic
-
WhatsApp campaigns
-
Email campaigns
-
Marketplace vs own store
Even basic attribution helps you:
-
Scale profitable channels
-
Cut underperforming ones
Improve ROAS
4. Customer Acquisition Cost (CAC)
-
CAC tells you:
“How much does it cost to get one customer?”
Formula:
Total marketing spend ÷ New customers acquiredIf CAC > profit per order, you’re losing money.
This metric is critical for:
-
Scaling ads
-
Running discounts
Planning growth
5. Customer Lifetime Value (LTV)
-
LTV answers:
“How much revenue does one customer generate over time?”
Example:
Customer buys ₹1,000 product
Returns twice per year
Average lifespan: 2 yearsLTV = ₹6,000
If CAC = ₹400 and LTV = ₹6,000, your business is healthy.
6. Conversion Rate (CR)
Conversion Rate = Orders ÷ Visitors
If traffic increases but conversion drops:
-
Checkout friction may exist
-
Pricing might be wrong
-
Trust signals may be missing
Small improvements in CR can massively increase revenue.
7. Cart Abandonment Rate
Most ecommerce stores lose 60–80% of carts.
Track:
-
Add to cart
-
Checkout started
-
Payment completed
This helps identify friction in:
-
-
Shipping charges
-
Payment options
-
COD availability
8. Return & RTO Rate (Critical in India)
-
In India:
-
COD increases returns
-
RTO eats margins
Track:
-
COD vs prepaid returns
-
Product-specific return rates
-
Location-based RTO
Reducing returns improves profit instantly.
9. Repeat Purchase Rate
This separates real brands from temporary stores.
Repeat rate shows:
-
Brand loyalty
-
Product quality
-
Marketing efficiency
If repeat rate is low:
-
-
Improve post-purchase flow
-
Launch loyalty campaigns
Use WhatsApp reorder reminders
10. Inventory Turnover
-
Slow-moving stock blocks cash flow.
Track:
-
Days inventory outstanding
-
Stock aging
-
Best-selling categories
Healthy inventory turnover = strong cash flow.
How Smart Indian Sellers Use Analytics
Winning brands:
-
Review dashboards weekly
-
Adjust ads based on SKU data
-
Run targeted WhatsApp campaigns
-
Optimize checkout friction
-
Focus on lifetime value, not just orders
Analytics is not about numbers.
It’s about better decisions. -
Enjoyed this article?
Stay updated with the latest insights and tips from the Bechna team.