Drop Off Rate Calculator
Drop-off rate is the share of people who start a step and never finish it: visitors who reach a signup form but never submit it, shoppers who begin checkout but never pay. Enter how many users started a step and how many completed it, and this calculator returns the percentage who dropped off, the number lost, and the completion rate that remains.
Quick Answer
- Quick Answer
- How to use the drop-off rate calculator
- The drop-off rate formula
- Worked example: a signup step that loses 4 in 10
- What is a good drop-off rate?
- Drop-off rate vs bounce rate, churn and exit rate
- Measure per step or across the whole funnel?
- What this calculator covers, and why each part matters
- Frequently Asked Questions
- Add This Calculator to Your Website
- References
How to use the drop-off rate calculator
Two counts from the same step and the same period are all the tool needs.
- Count the starters. Enter everyone who began the step in Initial Users: page views for a landing page test, form opens for a signup test, checkout starts for a payment test.
- Count the finishers. Enter everyone from that same group who completed the step in Final Users. Mixing periods or groups is the one error that ruins this metric, so pull both numbers from the same report and date range.
- Read all three outputs. The headline is the drop-off percentage, but the users-lost count tells you the size of the prize and the completion rate is the figure most dashboards already track. If the final count is bigger than the initial count, the tool stops and tells you, because one of the two numbers is wrong.
The drop-off rate formula
Drop-off rate is the users lost at a step, divided by the users who entered it, expressed as a percentage.
Users dropped off = Initial Users − Final Users
Completion rate = 100% − Drop-off rate, which is the same as Final Users ÷ Initial Users × 100.
The denominator is always the starters at that step, never the visitors at the top of the whole funnel. That choice is what makes step-level drop-off useful: a checkout step that loses 40% of the people who reached it has a checkout problem, whatever happened upstream. Government digital services treat the mirror image of this metric as a headline measure: the UK Government Digital Service's list of data services must publish includes completion rate, the share of users who finish a transaction they started.
Worked example: a signup step that loses 4 in 10
The pre-filled values are this example, taken from a signup page test: 1,200 users reached the registration page and 720 completed the form.
Users lost: 1,200 − 720 = 480 users dropped off at this step.
Drop-off rate: 480 ÷ 1,200 × 100 = 40.00%.
Completion rate: 100 − 40 = 60.00%, the share who got through.
Four in ten starters leaving a signup form usually points at friction inside the step itself: too many fields, a password rule revealed too late, or a phone number demand with no explanation. It rarely points at traffic quality, because these users already arrived and started.
What is a good drop-off rate?
It depends on the step, but the bands below are a sane starting point for judging any single step.
| Drop-off rate | Verdict | How to read it |
|---|---|---|
| 0% to 20% | Low | Healthy for most steps. Late-funnel steps like payment should live here. |
| Over 20% to 50% | Moderate | Common at early steps where intent is still forming. Worth investigating anywhere money changes hands. |
| Over 50% | High | The step itself is the problem until proven otherwise: friction, errors, price shock or a broken mobile layout. |
Context matters more than any band. Checkout is the extreme case: the Baymard Institute's long-running cart abandonment rate statistics, averaged across dozens of studies, put overall cart abandonment near 70%, which is why a payment step at 40% can be good news while a confirmation step at 40% would be a fire. Baymard's checkout usability research ties most of that loss to fixable flow problems rather than to shoppers simply changing their minds.
Drop-off rate vs bounce rate, churn and exit rate
Four metrics get confused with each other because all of them describe people leaving.
Drop-off rate is tied to a step in a sequence: of the people who entered this step, how many never reached the next one. Its mirror image is the completion rate, and the two always add up to 100%. A bounce rate is different: it counts single-page sessions with no second interaction, whether or not a process was ever started. Churn rate works over time rather than over steps, measuring customers who stop using a product during a period. Exit rate counts everyone who left from a page, including people who arrived there mid-journey and were never part of your funnel at all.
The practical rule: if someone started something and did not finish it, you want drop-off. The closest cousin in ecommerce is the abandon rate, which applies the same idea specifically to carts and checkouts.
Measure per step or across the whole funnel?
Both numbers are honest. They answer different questions, and picking the wrong one hides the leak.
Per step (recommended)
- Names the exact step that leaks, so fixes have an address.
- Rates are comparable across redesigns of that one step.
- Needs a count at every step, which takes setup.
- A small rate at each of six steps still compounds: 10% lost six times leaves only about 53%.
Whole funnel
- One number for reporting: starters at the top vs finishers at the bottom.
- Good for tracking a quarter's overall progress.
- Cannot tell you where to fix anything.
- Blames the funnel as a whole for what is usually one bad step.
Run the whole-funnel figure for the report, then run this calculator once per step to find where the loss concentrates. The step with the highest rate, not the biggest raw count, is normally the first fix, a point the Nielsen Norman Group makes in its work on conversion rates and funnel measurement.
What this calculator covers, and why each part matters
This calculator turns two counts – users who started a step and users who finished it – into the drop-off rate, the completion rate, and a verdict on the step, with the counts echoed back so the result can be checked.
- Four numbers, not one. The rate, both raw counts echoed back, the users lost, and the completion rate. Of 1,200 users who started this step, 720 finished it: drop-off rate is 40.00%, 480 users were lost at this step, and the completion rate is 60.00%.
- A verdict band for a single step. The band says whether the figure is low, moderate or high for a single step: 40% rates as Moderate – normal for an early funnel step, worth investigating on a payment or signup step.
- The impossible input caught and explained. A final count larger than the initial count is caught and explained instead of computed: you do not get a negative drop-off rate presented as a real answer.
- Two complements, shown together. The drop-off rate and the completion rate are complements; showing both keeps dashboards from mixing them up.
Frequently Asked Questions
Subtract the users who completed the step from the users who started it, divide by the starters, and multiply by 100. With 1,200 starters and 720 finishers: (1,200 − 720) ÷ 1,200 × 100 = 40.00%.
Under 20% is healthy for most steps, 20% to 50% is moderate and common early in a funnel, and over 50% means the step itself needs work. Judge by step type: a payment step should sit far lower than a first page view, where intent is still forming.
No. Bounce rate counts sessions that ended after a single page with no further interaction. Drop-off rate measures a step in a sequence: of the users who started that step, the share who never completed it. A user can drop off after several engaged pages, and a bounced user may never have started anything.
Churn is measured over time: the share of customers who stop using a product during a week, month or contract period. Drop-off is measured over a step: the share who start a form, checkout or onboarding flow and do not finish it. Drop-off is about a process, churn is about a relationship ending.
Because more finishers than starters is impossible for the same step, group and period, so one of the counts is wrong: usually the two numbers came from different date ranges or different segments. A negative drop-off rate would hide that data error, so the tool flags it instead.
Yes. A whole-funnel rate tells you that you are losing people but not where. Running each step separately shows which single step has the highest loss rate, and that step is almost always the cheapest conversion win available, because its audience already arrived and started.
Yes, anywhere a group moves through a step: course lessons started vs finished, job applicants who begin vs submit an application, patients who book vs attend, or trial users who start vs complete setup. The two counts and the same formula apply unchanged.
Add This Calculator to Your Website
References
- Baymard Institute, "49 Cart Abandonment Rate Statistics" - the long-running average of overall cart abandonment across dozens of studies, used here as checkout context. Baymard Institute: Cart Abandonment Rate Statistics. Accessed October 2026.
- Baymard Institute, "Checkout Usability" research - the evidence that most checkout loss comes from fixable flow problems such as forced account creation and long forms. Baymard Institute: Checkout Usability. Accessed October 2026.
- Nielsen Norman Group, "Conversion Rates" - how conversion and completion metrics are defined and why step-level measurement finds the fixable problem. Nielsen Norman Group: Conversion Rates. Accessed October 2026.
- UK Government Digital Service, Service Manual, "Measuring success" - how public services define and track completion of user transactions. GOV.UK Service Manual: Measuring Success. Accessed October 2026.
- UK Government Digital Service, Service Manual, "Data you must publish" - completion rate listed as one of the four mandatory performance measures for government services. GOV.UK Service Manual: Data You Must Publish. Accessed October 2026.
- Interaction Design Foundation, "Conversion Rates" - the relationship between conversion, completion and abandonment metrics in user experience work. Interaction Design Foundation: Conversion Rates. Accessed October 2026.