Phân tích dữ liệu thương mại điện tử cho người mới
Biến con số thành quyết định — các chỉ số then chốt (CAC, LTV, AOV, tỷ lệ chuyển đổi) mà mọi người bán đều phải theo dõi, cùng các công cụ miễn phí để đo lường chúng.
The 4 metrics that decide everything
| Metric | Formula | What it tells you |
|---|---|---|
| AOV (Avg Order Value) | Revenue ÷ Orders | Should you raise prices or upsell? |
| CAC (Customer Acquisition Cost) | Ad spend ÷ New customers | Is advertising profitable? |
| LTV (Lifetime Value) | Avg orders × AOV × Repeat rate | How much is a customer worth? |
| CVR (Conversion Rate) | Orders ÷ Visitors | Is your listing good enough? |
The golden rule: LTV > 3× CAC. If a customer costs $10 to acquire (CAC), they should bring $30+ over their lifetime (LTV). Below 3×, you're burning money.
Where to find your data (free tools)
- Amazon Seller Central → Business Reports: daily units, conversion rate, session data, Buy Box %. Free for all sellers.
- Shopee Seller Center → Business Insights: views, conversion, traffic sources.
- Shopify Analytics → Dashboard: revenue, traffic, conversion, repeat rate. Free on all Shopify plans.
- Google Analytics 4 → for Shopify/DTC. Tracks traffic source, user journey, funnel.
- Helium 10 / Jungle Scout → Amazon product research + competitor data (paid).
Reading Amazon Business Reports
- Detail Page Sales & Traffic → find your top ASINs. The 80/20 rule: 20% of products make 80% of revenue. Double down on winners.
- Session percentage → which products get the most traffic. High traffic but low sales = listing problem (fix images/copy/price).
- Unit Session % (conversion) → below 10% means your listing isn't converting. Above 15% is excellent.
- Buy Box % → if below 90%, you're losing the Buy Box (price too high or out of stock).
Weekly review routine (30 min)
- Revenue vs last week → trending up or down? Investigate drops.
- Top 5 keywords (search term report) → are customers finding you for the right terms?
- ACOS / TACOS → ad efficiency. Rising ACOS with flat sales = optimize campaigns.
- Inventory days → will you stock out in 30 days? Reorder now if so.
- Return rate → spikes mean a quality issue. Check recent reviews for patterns.
Common data mistakes
- Looking at revenue, not profit → $10k revenue with $9k cost = $1k profit. Track margin, not top line.
- Ignoring LTV → a $20 CAC looks bad until that customer buys 5 times ($150 LTV).
- Not tracking ad-attributed vs organic → if sales only come from ads, you have no organic moat. Build reviews + ranking.
- Analysis paralysis → 5 key metrics, weekly review, act on patterns. Don't drown in data.
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