📅 February 12, 2026 Updated: February 12, 2026

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.

Ecommerce Analytics D2C Growth SKU Optimization Revenue Tracking Indian Ecommerce Performance Marketing
B

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 acquired

    If 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 years

    LTV = ₹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.

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