Growth
Free webinar funnel and revenue calculator
By Charles Summers · Updated · Free, no signup
Short answer
This walks a webinar funnel stage by stage with absolute numbers at every step: visitors to registrants, registrants to attendees, attendees who stay for the offer, and buyers. It reports revenue, cost per registrant, cost per attendee and cost per customer when you supply a promotion budget, then re-runs the whole funnel four times, improving one stage by ten percentage points each time, to show which single fix adds the most revenue. Because the funnel multiplies, that is always your weakest rate.
Use the webinar funnel calculator
What does this tool actually do?
This walks a webinar funnel stage by stage with absolute numbers at every step: visitors to registrants, registrants to attendees, attendees who stay for the offer, and buyers. It reports revenue, cost per registrant, cost per attendee and cost per customer when you supply a promotion budget, then re-runs the whole funnel four times, improving one stage by ten percentage points each time, to show which single fix adds the most revenue.
It runs entirely in your browser. Nothing you type is sent to a server, no account is required, and there is no usage limit, because there is no cost per run to control.
The funnel multiplies, which decides where the money is
A webinar funnel is four rates multiplied together. Revenue is visitors times registration rate times show-up rate times stay-to-offer rate times offer conversion times deal value, and nothing about that structure is negotiable. The useful consequence is that improving any stage by a given proportion has exactly the same effect on revenue as improving any other stage by that proportion. Ten percent more registrants and ten percent better offer conversion produce identical totals.
Improvements measured in percentage points behave very differently, and this is where most webinar post-mortems go wrong. Adding ten points to a rate of 5% multiplies that stage by three. Adding ten points to a rate of 60% multiplies it by about 1.17. So an equal-sized improvement, expressed the way people actually talk about these numbers, is worth roughly seventeen times more when applied to your weakest stage. The output runs this comparison explicitly rather than asserting it, because seeing the four revenue figures side by side is what changes anyone's mind about where to spend the next fortnight.
The honest caveat is that equal point improvements are not equally achievable. Moving show-up from 40% to 50% is a known problem with known solutions: reminder sequences, calendar holds, a shorter gap between registration and event. Moving offer conversion from 4% to 14% is a different order of difficulty, because it depends on the audience being right, the offer being right and the presentation earning the pitch, and many webinars will never get there at any effort. So read the ranking as where the leverage is, then apply your own judgement about what is movable. Leverage tells you where to look; feasibility tells you what to do.
Registration to attendance is the biggest single leak, and it is largely logistics
Across most reported experience, live webinar show-up rates cluster somewhere in the region of a third to a half of registrants, with warm in-house lists at the top of that range, partner and co-marketed audiences in the middle, and cold paid registration at the bottom. The variance is enormous and driven mostly by how the registrant arrived: someone who filled in a form because they follow your work behaves nothing like someone who clicked a paid ad while browsing. If you are benchmarking, benchmark against your own last five events segmented by source, not against a published average that blends all of them.
The mechanical causes of non-attendance are boring and therefore fixable. Lead time is the biggest one: registrations taken three weeks out attend at a visibly lower rate than registrations taken in the final three days, because intent decays and calendars fill. That single fact argues for a shorter promotion window with heavier late pressure, rather than the four-week drip most teams default to.
The rest is execution, and the list is short enough to audit before your next event:
- Calendar file on the confirmation page, not just in the email. A registration that never becomes a calendar entry is competing with whatever else lands in that hour.
- A reminder the day before and one 15 to 30 minutes before. The same-hour reminder is consistently the highest-yield message in the sequence and is the one most often missing.
- The join link in every reminder. Making someone search their inbox at the start time is a self-inflicted drop.
- SMS for high-value cohorts. Open rates are far above email, so it is worth the friction of asking for the number when the deal value justifies it.
- Time zone stated explicitly and correctly. An international audience loses a slice of attendance purely to arithmetic errors that cost nothing to prevent.
The stay-to-offer rate is the one nobody measures
Most teams track registrations and attendance and then jump straight to sales. The stage in between, what proportion of attendees are still present when the offer is made, is where the content and the commercial intent either reconcile or fight. Webinar platforms all report attendance duration, so this number is available; it is simply not on anyone's dashboard.
It is worth measuring because it responds to structure rather than effort. Attendees leave when the value they came for has been delivered and the remaining time appears to be a pitch, so the standard fix is to stop back-loading the good material. Tell people at the start what the agenda is and when the offer will come, deliver something genuinely useful in the first ten minutes so nobody feels the session was bait, and place the best single insight after the point where you make the offer rather than before it. The Q&A is the other lever: announcing live Q&A at the end holds a meaningful share of people through the commercial section, and it costs nothing.
Live versus automated changes this stage more than any other. Recorded evergreen webinars can outperform live ones on volume and cost per registrant, because they run continuously and need no presenter, but they typically hold a smaller share of the audience through to the offer, because the interactivity that keeps people watching is simulated and audiences increasingly recognise it. If you run both, track this rate separately for each, because a blended figure will hide the trade you are actually making.
Cost per attendee is the number that governs paid promotion
Cost per registrant is the metric every paid campaign optimises towards, and it is the wrong one. You cannot sell to a registrant who does not arrive, so the meaningful denominator is attendees, and the gap between the two metrics is a factor of two or three at typical show-up rates. A channel delivering registrants at half the cost of another can easily be the more expensive channel per attendee, and if you are optimising ad spend on registration cost you will systematically shift budget towards the audiences least likely to turn up.
Work out the ceiling before you buy anything. Take your deal value, multiply by the proportion of attendees who eventually buy (stay-to-offer times offer conversion), and that is the revenue an attendee is worth. Divide by whatever multiple your business requires on acquisition spend, and you have a maximum allowable cost per attendee. Multiply back up by your show-up rate to get the maximum cost per registrant to hand to whoever runs the ads. That chain takes two minutes and is the difference between a promotion budget that has a governing constraint and one that has a wish.
Two accounting notes that change the answer. First, the promotion budget is not the whole cost: presenter time, production, the platform licence and the follow-up sequence are real, and on a small event they can exceed the media spend. Second, revenue does not all land on the day. Webinar-sourced pipeline typically closes over weeks or months, and a share of it closes because of the follow-up sequence rather than the event, so a same-day ROAS figure understates the programme while a fully attributed one takes a quarter to settle. Decide which one you are reporting before the event, not after you have seen it.
Numbers worth knowing
| Metric | Typical | What it means |
|---|---|---|
| Registration page conversion | wide, and source-dependent | Warm list and email traffic convert several times better than cold paid traffic to the same page. A blended figure across sources tells you almost nothing actionable. |
| Live webinar show-up rate | commonly a third to a half | Warm in-house lists sit at the top of that band, cold paid registration at the bottom. Segment by acquisition source before comparing yourself to anything. |
| Effect of registration lead time | later registrants attend more | Intent decays and calendars fill. This argues for a shorter promotion window with heavy late pressure rather than a four-week drip. |
| Same-hour reminder | highest-yield message in the sequence | A reminder 15 to 30 minutes before start, with the join link in it, is the single most commonly missing piece of webinar operations. |
| Cost per attendee vs cost per registrant | a factor of 2 to 3 apart | At typical show-up rates. Optimising paid spend on registration cost pushes budget towards the audiences least likely to turn up. |
Mistakes that quietly cost you results
- Optimising paid promotion on cost per registrant
- Use cost per attendee. At a 40% show-up rate the two differ by two and a half times, and the channel with the cheapest registrations is frequently the one with the worst attendance, so registration-cost bidding actively selects for people who will not turn up.
- Working on the stage with the most obvious room for improvement
- Rank the stages by what ten points is worth, which the output does. Because the funnel multiplies, ten points on a 5% offer conversion is worth roughly seventeen times ten points on a 60% show-up rate, even though the second looks like the bigger problem.
- Never measuring how many attendees are still there for the offer
- Every platform reports attendance duration, so this number already exists. It is the stage that reveals whether your content and your pitch are fighting each other, and it responds to running order and an announced Q&A rather than to more effort.
- Promoting for four weeks with an even drip
- Registrations taken three weeks out attend at a visibly lower rate than those taken in the final days, because intent decays. A shorter window with heavier late pressure converts the same media budget into more attendees, not just more registrants.
- Judging the event on same-day revenue
- Webinar-sourced pipeline closes over weeks, and a meaningful share of it closes because of the follow-up sequence rather than the event itself. Decide before the event whether you are reporting same-day or fully attributed revenue, because the two differ by a lot.
What does the output look like?
This is the exact output the tool produces from the example inputs. It is generated by the same code that runs when you click the button, so what you see here is what you get.
Frequently asked questions
How does it decide which stage to fix first?
It re-runs the entire funnel four times, each time adding ten percentage points to one rate and leaving the others alone, then ranks the four resulting revenue figures. Because the funnel is a product of its rates, adding ten points to a rate of r multiplies revenue by (r + 0.10) divided by r, so the weakest stage always wins arithmetically. Showing the four totals rather than stating the rule makes the size of the gap visible, which is usually larger than people expect.
Is the weakest stage always the right thing to work on?
It is always where the leverage is, which is not the same as where the work should go. Ten points of show-up rate is a solved problem with known tactics: reminder sequences, calendar files, a shorter promotion window. Ten points of offer conversion may be unachievable at any effort if the audience or the offer is wrong. Use the ranking to see the size of each prize, then apply your own judgement about which prize is actually collectable this quarter.
Why report cost per attendee rather than cost per registrant?
Because you cannot sell to someone who did not turn up, and at typical show-up rates the two figures differ by a factor of two to three. Optimising paid campaigns on registration cost systematically shifts budget towards audiences with the lowest intent, which is exactly the audience least likely to attend. Cost per attendee is the number that ties promotion spend to something the event can actually convert.
What is a realistic show-up rate?
Commonly somewhere between a third and a half for live events, but the variance by source is so large that the average is nearly useless as a target. Warm in-house lists sit at the top of that band and cold paid registration at the bottom, often well below it. Segment your own last few events by acquisition source and use that instead; it is the only benchmark that accounts for how your registrants actually arrived.
Does this work for automated or evergreen webinars?
The arithmetic is identical, but run them as separate models rather than blending. Evergreen webinars typically produce cheaper registrants because they run continuously without a presenter, and typically hold a smaller share of the audience through to the offer, because simulated interactivity holds attention less well. Blending the two hides exactly the trade-off you are trying to evaluate.
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