Leaks lineRide time 6 minUpdated

Funnel leak analysis for adult businesses: find the stop that loses most

Every funnel leaks. The useful question is where it leaks most, and why. This guide shows how to measure each stop, compare drop-off between them, and use recordings and customer feedback to find the cause, with a worked example using placeholder numbers.

Illustration of a metro line with the stops measure, find and fix

Stop 1Define the stops

Write down each step between arriving and buying, as events your analytics can count. A typical adult store might use: landing page view, product view, add to cart, checkout started, payment submitted, order confirmed. Name them once and use the same names everywhere, or the numbers will not line up.

Stop 2Measure drop-off between stops

Divide each stop by the one before to get the share of people who carried on. The stop with the lowest share is the first place to look. Placeholder numbers, for illustration only:

StopPeopleCarried on from previous stop
Landing page view[A]start
Product view[B][B / A]
Add to cart[C][C / B]
Checkout started[D][D / C]
Order confirmed[E][E / D]

Split the same table by traffic source and device. A stop that looks fine overall can hide a leak on mobile or on one channel, as our guide to traffic vs qualified leads explains.

Stop 3Find the cause

Numbers show where people leave, not why. For the leakiest stop, watch a sample of session recordings, read support messages and reviews, and ask a one-question survey at that step. On adult sites the causes frequently come down to doubt: about the total cost, about privacy, or about whether the product is safe.

Checkout forms are a frequent culprit. Baymard Institute's research found the average US checkout has around 23 form elements, against an ideal of about 12 to 14. Every field that is not needed is one more reason to stop.

Stop 4Fix, then check

Change one thing at the leakiest stop, then compare the carry-on share before and after over a comparable period, or run an A/B test if traffic allows. Keep a log of what changed and when, so later readers of the numbers know why they moved. The landing page side of the fixes is in our guide to landing page CRO.

Stop 5Protect privacy while you measure

Analytics on an adult site handles sensitive behavior. Mask form fields and payment details in recordings, leave account areas out, collect no more than you need, and say in your privacy policy what you record. Measurement that customers would object to is not worth the insight. The full service is described on conversion optimization.

Stop 6Stop 6: leaks after the order

The funnel does not end at the order confirmation. Customers leak away after buying too: a parcel that arrives late or looks wrong, a product with no care instructions, a return that is hard to arrange, or no reason to come back. Add these stops to the map: order delivered, first use, review left, second order. The gap between first and second order is often the most valuable leak to fix, because those customers have already shown they will buy from you. A short post-purchase email with care instructions, and a check that the parcel arrived as promised, closes much of it. The traffic feeding the top of the map is compared in our guide to traffic vs qualified leads.

Stop 7Stop 7: compare phones and computers

Split every stop by device before deciding where the leak is. A checkout that works well on a computer can fail on a phone because a field hides behind the keyboard or a payment button needs a second tap. Many adult shoppers browse on phones in private windows, which also forget carts and logins, so a leak that only shows on mobile is common and easy to miss in combined numbers.

Stop 8Stop 8: leaks we often find on adult stores

  • An age gate that reappears on every page or loads slowly on mobile.
  • Shipping costs and delivery times shown only at the last step.
  • No word on discreet packaging or the billing name until after payment.
  • Card payments declined with no explanation and no second method offered.
  • Product pages that leave out material, size or care, sending shoppers away to check elsewhere.

Stop 9Stop 9: fix the leak that is worth most

The leakiest stop is not always the one to fix first. Multiply the number of people lost at each stop by what they would have been worth, and work down that list. Losing half the visitors on a page few people reach can matter less than losing a small share at checkout, where everyone has already chosen to buy. A short worked note for each candidate, with the people lost and the likely value, makes the choice easy to explain.

Stop 10Stop 10: how often to look again

Run the full leak analysis every quarter, and a quick check of the main stops every month, ideally on the same day each month so the numbers stay comparable. Look again straight after any change to the site, the checkout, the payment provider or the age verification set-up, since these are when new leaks appear. The pages behind each stop are tuned on conversion optimization, and the automated emails that catch people between stops are mapped on marketing funnels.

Stop 11Stop 11: a worked example

Illustrative numbers. Of 10,000 monthly visitors to a store, 3,000 view a product, 600 add to cart, 420 start checkout and 250 complete an order. The biggest share lost is between landing and product view, but those visitors have shown the least intent. The drop from 420 checkouts to 250 orders loses 170 people who had already decided to buy. If the average order is worth $60, recovering even a quarter of them is worth about $2,500 a month, which usually makes checkout the first place to look, followed by the product pages. Run the same arithmetic for your own store before deciding; sometimes a slow product page loses more value than checkout does, especially when most visitors arrive on phones.

Stop 12Stop 12: tools you need, and tools you do not

Most leak analysis needs only three things: analytics with the stops set up as events, a way to watch a small number of anonymized session recordings, and a short survey that can appear at one step. Expensive suites add little until those basics are in place. Whatever you use, check its terms accept adult businesses, mask personal details by default, and keep recordings for as short a time as your work allows. A tool that captures everything about every visitor creates a privacy risk larger than the leak it helps you find. Start small: one funnel report, a dozen recordings of the leakiest step and three survey answers will usually explain more than a month of raw data.

Stop 13Sources and further detail

Reference links to the publishers named in this guide, for anyone who wants the full text.

Last stopQuestions

01Which analytics tool do we need?
Any tool that can record custom events and build a step-by-step funnel report. What matters is that the same events are defined the same way everywhere.
02Are session recordings a privacy risk on adult sites?
They can be. Mask all form fields and payment details, avoid recording account areas, disclose recordings in your privacy policy, and keep them only as long as you need.
03How often should we re-run the analysis?
Monthly for a fast-changing site, quarterly otherwise, and always after a big change to the site or traffic mix.
04Which leak should we fix first?
The one worth the most, not always the leakiest. Multiply the people lost at each stop by what they would have been worth, and start at the top of that list.
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