Quick answer
Add-to-Cart Rate is calculated as:
Add-to-Cart Events / Product Page ViewsUse this Excel version when your inputs are on row 2:
=IFERROR(B2 / C2,0)What is Add-to-Cart Rate?
Add-to-Cart Rate measures one outcome compared with a base number. It is useful because it turns raw counts into a comparable percentage or ratio, so teams can compare periods, channels, products, or locations fairly.
Ecommerce KPIs connect website behavior, checkout performance, repeat purchases, returns, and revenue.
Real-life example
Imagine an ecommerce manager reviewing store performance. The team adds the inputs for Add-to-Cart Rate to an online store dashboard, calculates the KPI for the current month, and compares it with the previous month and target. In the sample below, the result is 14.0%. That number becomes useful when everyone uses the same formula each month.
| Excel cell | Input | What it means | Sample value |
|---|---|---|---|
| B2 | Add-to-Cart Events | the input value used by the KPI formula | 4,200 |
| C2 | Product Page Views | the input value used by the KPI formula | 30,000 |
| Result | Add-to-Cart Rate | Output of the KPI formula | 14.0% |
How to calculate Add-to-Cart Rate in Excel
- Create one row per reporting period, team, product, campaign, location, or customer segment.
- Add one input per column. Do not combine inputs in the same cell.
- Paste the Excel formula in the KPI result column.
- Format the result as Percentage.
- Copy the formula down the table and compare the result against target, previous period, and trend.
- Use the same date range for every input.
- Confirm that the denominator is not blank or zero.
- Document whether the KPI is calculated before or after discounts, refunds, taxes, returns, or cancellations.
- Keep the definition stable so reports remain comparable over time.
Power BI DAX measure
If you also report this KPI in Power BI, create a measure instead of hard-coding the calculation in a visual. Replace the measure names below with the names used in your model.
Add-to-Cart Rate = DIVIDE([Add-to-Cart Events], [Product Page Views], 0)For best results, build base measures first, such as revenue, cost, customers, orders, or tickets, and then build the KPI measure from those base measures.
How to read the result
Higher is usually better, because this KPI normally represents revenue, efficiency, quality, retention, productivity, or successful outcomes.
Do not read the KPI alone. A single value can be misleading without a target, trend, segment, and business context. For example, the same result may be good for one product line but poor for another.
Useful comparisons
- Current month versus previous month.
- Actual result versus target or budget.
- By channel, product, customer segment, team, or location.
- Rolling average over several periods to smooth one-off spikes.
Common mistakes
- Mixing time periods, such as monthly cost with quarterly revenue.
- Using a total when the KPI should be segmented.
- Changing the formula definition after the dashboard is already in use.
- Comparing two teams that collect the inputs differently.
- Ignoring blanks, zeros, refunds, cancellations, or duplicate records.