Calculator Inputs
Example Data Table
| Period | Visitors | Sessions | Add to Carts | Checkout Starts | Orders | Revenue | Conversion Rate |
|---|---|---|---|---|---|---|---|
| January | 10,000 | 15,400 | 760 | 430 | 300 | $24,600.00 | 3.00% |
| February | 12,000 | 18,500 | 950 | 540 | 420 | $33,600.00 | 3.50% |
| March | 13,400 | 20,200 | 1,080 | 620 | 470 | $39,480.00 | 3.51% |
These values are sample records. Replace them with your own reporting period data for live analysis.
Formula Used
Conversion Rate = (Orders ÷ Selected Denominator) × 100
Cart Rate = (Add to Carts ÷ Selected Denominator) × 100
Checkout Start Rate = (Checkout Starts ÷ Selected Denominator) × 100
Cart to Checkout Rate = (Checkout Starts ÷ Add to Carts) × 100
Checkout Completion Rate = (Orders ÷ Checkout Starts) × 100
Average Order Value = Revenue ÷ Orders
Revenue per Visitor = Revenue ÷ Visitors
ROAS = Revenue ÷ Ad Spend
Net Revenue = Revenue × (1 − Refund Rate ÷ 100)
Gross Profit = Net Revenue × (Gross Margin ÷ 100)
p ± 1.96 × √(p × (1 − p) ÷ n), where p is conversion proportion and n is the selected denominator.
How to Use This Calculator
- Enter your reporting period so the result is easier to document.
- Choose whether you want to measure conversions against visitors or sessions.
- Input total visitors, sessions, orders, add to carts, and checkout starts.
- Enter revenue, ad spend, gross margin, refund rate, target rate, and benchmark rate.
- Click Calculate Conversion Rate to render results above the form.
- Review the metric cards, detailed tables, interpretation notes, and funnel graph.
- Use the CSV and PDF buttons to export the report for analysis or sharing.
FAQs
1. What does this calculator measure?
It measures how efficiently store traffic becomes orders. It also evaluates funnel progression, revenue efficiency, refund-adjusted value, gross profit, and statistical confidence around the observed conversion rate.
2. Should I use visitors or sessions as the denominator?
Use visitors when you want a people-based rate. Use sessions when you want a visit-based rate. Sessions are useful when repeat visits strongly influence purchase behavior.
3. Why track add to carts and checkout starts?
These stages reveal where shoppers drop off. A weak cart-to-checkout rate suggests cart friction. A weak checkout completion rate often indicates payment, shipping, trust, or form problems.
4. What does the 95% confidence interval mean?
It gives an estimated range around the observed conversion rate. Wider intervals usually mean lower certainty, often caused by smaller sample sizes or limited traffic volume.
5. What is a good ecommerce conversion rate?
There is no universal answer. Good performance depends on channel quality, device mix, product price, offer strength, geography, and brand trust. Benchmarks should be compared within similar contexts.
6. Why can conversion rate improve while revenue drops?
Conversion can rise even when revenue falls if average order value decreases, refund rates increase, or traffic shifts toward lower-priced products and promotions.
7. How do target and benchmark fields differ?
A target is your internal goal. A benchmark is an external or historical reference point. Both help frame performance, but they answer different business questions.
8. Can I use this for channel or device comparisons?
Yes. Run the calculator separately for paid search, email, organic traffic, mobile users, or desktop users. Comparing segments often reveals where optimization has the highest payoff.