10 Metrics Every E-Commerce Business Should Track Daily

Why Daily Metrics Matter in E-Commerce

E-commerce moves fast. A broken checkout flow can cost you $10K in a single day. An ad set that stops converting can burn through budget overnight. A supplier delay can cascade into a week of stockouts.

The operators who catch these problems on day one instead of day seven have a massive advantage. The difference is almost always the same: they track the right metrics, daily, automatically.

Here are the 10 metrics to watch — and what each one tells you.

1. Gross Merchandise Value (GMV)

What it is: Total dollar value of all orders placed, before returns and cancellations.

Why daily: GMV is your pulse. A 15-20% drop from your trailing average is an immediate signal to investigate — broken checkout, site outage, payment processor issue, or sudden traffic drop. You want to catch this within hours, not days.

Benchmark: Compare to same day last week (not yesterday) to account for day-of-week patterns.

2. Average Order Value (AOV)

What it is: GMV divided by number of orders.

Why daily: AOV shifts reveal changes in product mix, discount behavior, or customer segment. A sudden AOV drop often means a promo is cannibalizing full-price sales. A rise might mean your bundling strategy is working.

Typical range: Varies wildly by category. Track your own trailing 30-day average and watch for deviations greater than 10%.

3. Conversion Rate

What it is: Orders divided by sessions (or unique visitors).

Why daily: This is the single most actionable metric in e-commerce. A conversion rate drop of even 0.2% on a high-traffic site can cost thousands per day. Common culprits: slow page load times, broken images, confusing checkout flows, or poorly targeted traffic.

Benchmark: 2-3% is average for most DTC brands. Top performers hit 4-5%.

4. Return on Ad Spend (ROAS)

What it is: Revenue generated per dollar spent on advertising.

Why daily: Ad platform performance can shift overnight due to audience saturation, competitor bidding, or algorithm changes. Checking ROAS daily lets you reallocate budget before a bad campaign drains your margin.

Benchmark: 3:1 ROAS is the typical breakeven for most DTC businesses (accounting for COGS and fulfillment). Aim for 4:1+ for healthy profitability.

5. Customer Acquisition Cost (CAC)

What it is: Total marketing and sales spend divided by new customers acquired.

Why daily: Daily CAC by channel tells you which acquisition engines are efficient and which are burning cash. When CAC on a channel exceeds your first-order profit, you need to either fix the funnel or cut spend.

Watch for: CAC typically rises during competitive periods (Black Friday, holidays) and drops during organic traffic surges. Track the trend, not just the number.

6. Cart Abandonment Rate

What it is: Percentage of shoppers who add items to their cart but do not complete checkout.

Why daily: Industry average is 70%. If yours spikes above your baseline, something is broken — unexpected shipping costs, a confusing checkout step, or a payment processing error. Daily monitoring catches these issues before they become expensive.

7. Inventory Days on Hand

What it is: Current inventory units divided by average daily unit sales. Tells you how many days of stock you have left for each SKU.

Why daily: Stockouts kill revenue and tank your ad efficiency (you are paying for clicks to out-of-stock products). Monitoring days on hand daily lets you trigger reorders at the right time and pause advertising on low-stock SKUs.

Target: Depends on your supply chain lead time. If reordering takes 14 days, you want to trigger at 20-25 days of stock.

8. Gross Margin (Daily Estimate)

What it is: (Revenue minus COGS) divided by revenue.

Why daily: Margin compression is often invisible until the P&L comes out. Tracking a daily gross margin estimate (even an approximate one) surfaces problems with supplier costs, shipping rate changes, or discount over-use before they compound into a bad month.

9. Refund and Return Rate

What it is: Refund dollars (or units) as a percentage of gross revenue (or total orders).

Why daily: A spike in returns for a specific product often indicates a quality issue, a misleading product listing, or a sizing problem. Catching it early lets you fix the root cause and prevent further damage.

Benchmark: 5-10% is typical for apparel. 2-5% for most other categories.

10. Customer Lifetime Value (LTV) — Trailing 90-Day Cohort

What it is: Average revenue per customer over their first 90 days.

Why daily: While LTV is a long-term metric, tracking the 90-day trailing cohort daily shows you whether recent customers are trending toward higher or lower value. If the trend is down, investigate: are you acquiring lower-quality customers, or is your retention slipping?

Putting It Together

These 10 metrics should fit on a single dashboard. Review it every morning — it should take 60-90 seconds. Investigate anything that deviates more than 10-15% from its trailing average. Automate alerts for critical thresholds (conversion rate drops, stockout warnings, ROAS below breakeven). The companies that build this daily rhythm consistently outperform those that check the numbers weekly or monthly.