Funnel & CRO
Trace where users drop off in your product tour and activation loop.
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- Claude, via MCP
How do you measure product tour effectiveness?
Multiply users through each step's completion rate, then by the share of finishers who activate. With 1,000 users starting and steps completing at 80%, 62% and 70%, 347 finish (35%); at 55% activation, 191 activate. The step with the lowest rate is the first to fix.
Only 35% finish the tour, and Step 2 is where most fall out. Shorten it, defer optional steps, and make sure the aha moment lands before you ask for effort.
The best tours are short and get users to one real win fast. Every extra step is a place to quit, measure activation, not just completion.
About this calculator
A product tour that loses half its audience by step two never gets the chance to prove the product's value. This grader walks your tour step-by-step, using your own completion rates at each stage, to show final completion, downstream activation, and exactly which step is bleeding the most people, the step worth fixing before any other part of onboarding.
How to use it
- Enter tours started per month and the completion rate for each of the three steps in sequence (step 1, step 1→2, step 2→3/finish).
- Enter the share of finishers who go on to activate, reach the product's real "aha" moment.
- Read completion count and rate, activated users, the single biggest drop-off step, and the full start-to-activation conversion.
Methodology
Each step's completion is chained multiplicatively: after step 1 = started × step1 rate, after step 2 = that × step2 rate, completed = that × step3 rate. Activated users = completed × activation rate. Each stage compounds on the previous one, so a weak middle step drags down everyone who reaches the end, not just its own conversion.
The biggest drop-off is simply whichever of the three step rates is lowest, flagged directly as the priority fix rather than requiring you to compare three numbers yourself.
A completion rate of 40%+ is graded as healthy; below that, the verdict recommends shortening or deferring optional steps rather than assuming the content itself is the problem, since long tours lose people regardless of how good any individual step is.
Tour completion and activation
After step 1 = Started × Step 1 rate After step 2 = After step 1 × Step 2 rate Completed = After step 2 × Step 3 rate Completion rate = Completed ÷ Started Activated = Completed × Activation rate
- Started
- Users who began the product tour or onboarding checklist.
- Step rates
- Share of users reaching each step who complete it.
- Activation rate
- Share of tour finishers who reach your activation event, the action that predicts retention.
Step losses multiply, so a weak middle step hurts everyone after it. The tool calls 40% completion healthy; that is its own threshold. Activation matters more than completion: a short tour that leads users to the activation event is better than a long one they finish without doing anything.
Worked example: a three-step onboarding tour
A B2B app shows new users a three-step tour. Of 1,000 users who start it, 80% complete step 1, 62% of those complete step 2 and 70% of those finish. 55% of finishers then reach the activation event.
- After step 1 = 1,000 × 80% = 800.
- After step 2 = 800 × 62% = 496.
- Completed = 496 × 70% = 347.
- Completion rate = 347 ÷ 1,000 = 34.7%, below the 40% threshold.
- Activated = 347 × 55% = 191.
- Lifting step 2 to 75% raises completion to 42% and activation to 231 users.
Step 2 loses the most people. Shorten it, make it optional, or move it to later when the user needs it. Then check whether activated users stay with the product usage frequency grader.
What makes a good product tour?
A good tour gets users to their first useful result as quickly as possible:
- Few steps: each step loses people, so keep only what is needed for the first result.
- Action, not explanation: steps that make the user do something beat steps that describe features.
- Skippable: experienced users should be able to skip without losing their way.
- Measured on activation: the goal is the activation event, not tour completion.
Product onboarding in India vs the US
Indian users of B2B software often prefer guided help, such as a short call or a WhatsApp support chat, alongside in-app tours. Offering both raises activation. Tours in Hindi or regional languages can help products aimed at small businesses outside major cities.
US users of self-serve products tend to expect to get started without help, so in-app tours and checklists carry more of the onboarding work. For larger accounts, onboarding calls still matter. Check whether the product suits self-serve at all with the PLG feasibility grader.
Common product tour mistakes
- Showing every feature instead of the path to the first result.
- Measuring completion rather than activation.
- Forcing the tour on returning or experienced users.
- Placing setup-heavy steps early, where they cause the most drop-off.
- Never updating the tour after the product changes.
FAQ
Activation, ultimately, since completing a tour without reaching the product's real value moment doesn't retain users. But completion is the gate activation has to pass through, so a low completion rate caps your activation rate no matter how good the aha moment is once someone gets there.
Early drop-off usually means the tour asked for too much commitment before demonstrating any value, consider moving a smaller, faster win earlier and deferring setup-heavy steps until after that initial payoff.
There's no universal number, but shorter tours that get to one genuine win fast consistently outperform longer, feature-complete walkthroughs. Every additional step is another point where a user can quit before ever seeing the product deliver value.
An early action that predicts a user will keep using the product, such as creating a first project or inviting a colleague. Find it by comparing retained and churned users' early behaviour.
Usually yes, because losses early in the tour reduce the number of users every later step can work with.
Numbers looking off?
If the model says one thing and the pipeline says another, that gap is usually where the revenue is. A 30-minute call finds it.
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