Most hotel tech founders know something is leaking. Very few can tell you which leak is the expensive one.
That distinction is not academic. Fixing the wrong leak costs you a quarter, burns the team's appetite for change, and often makes the numbers temporarily worse, which teaches everyone that change does not work.
I spent 14 years at eZee Technosys, now YCS, across support, global sales and enterprise sales, on products that run in more than 33,000 hotels. The same four leaks turn up in almost every hotel tech company I have since worked with, and the ranking is almost never what the founder expected.
Leak one: demand
The symptom is traffic that does not convert, or no traffic at all. The diagnosis most founders reach for is that they need more marketing. The actual problem is usually that the wrong people are arriving.
Run this test. Take your top twenty organic landing pages and tag each as hotelier-intent or vendor-intent. A page about choosing a channel manager is hotelier-intent. A page about hotel tech marketing strategy is vendor-intent.
If most of your sessions land on the second kind, you are visible to your competitors and invisible to your buyers. Your content is being read by people who will never buy, and the engagement metrics look fine, which is what makes this leak so persistent.
Why this one gets over-fixed
Demand is the cheapest leak to fix and the most visible, so it absorbs attention out of proportion to its cost. Traffic can be bought, measured weekly and reported upward. That makes it satisfying to work on regardless of whether it is the binding constraint.
Before investing here, check whether the traffic you already have is converting. If it is not, more of it changes nothing.
Leak two: conversion
The symptom is good conversations that end in silence. A strong demo, real engagement, then no reply to three follow-ups.
The instinct is to rebuild the demo. Usually the demo is fine. What is missing is risk handling.
A general manager evaluating your property management system is not asking whether the software is good. They are asking what happens to their bookings if the cutover goes wrong in October. Nobody says that out loud on a sales call, because it sounds like an admission of timidity. So the deal gets logged as lost interest when it was unresolved fear.
The research behind The JOLT Effect found 40 to 60 percent of lost B2B deals end in no decision rather than going to a rival, with indecision present in roughly nine out of ten sales calls. In hospitality, where switching costs bookings rather than money, that share is higher, not lower.
How to tell if this is your leak
Tag every closed-lost for six months into three buckets: lost to a named competitor, lost to no decision, lost on price. If the majority is no decision, you are optimising against competitors while losing to inertia. Those need opposite responses, and most sales teams are only equipped for the first.
Leak three: activation
This is the expensive one, and it is almost always misdiagnosed as something else.
Start by naming your first-value moment precisely. Not completed onboarding. Something specific and observable: first reservation synced to the channel manager, or first night audit closed on the new system without a support ticket.
If two people on your team name different moments, you have found the problem before you have measured anything. You cannot fix activation because you have not defined it.
The thirty-day test
Take last quarter's new properties as a cohort. What percentage reached that first-value moment within thirty days?
Under 60 percent and you have located the source of your churn. Not a contributing factor. The source.
Why it hides
Timing. A property that fails to activate in week one does not cancel in week one. It limps along, uses a fraction of the product, and cancels in month three.
By then the conversation is about price and features, because those are the words people reach for when asked why they are leaving. Nobody says "we never really went live." The cancellation gets recorded as a product gap, the roadmap absorbs the blame, and the actual failure in week one goes uninvestigated.
This is why plotting churn by month since signup matters more than tracking a monthly churn rate. A rate tells you how much. A cohort curve tells you when, and when tells you why.
What a non-activated property actually looks like
The pattern is consistent enough to describe in advance.
A 45-room independent signs in October. Onboarding completes on schedule and the account is marked live. The front desk is using the reservations screen and the arrivals list. That is all they are using.
They are still building the rate sheet in a spreadsheet, because the person who was trained on the rate module left in November and the replacement was shown the basics by a colleague who also only knows the basics. Revenue management sits unused. The channel manager is connected but rates are being pushed manually, which is exactly what the property was paying to stop doing.
Every usage dashboard shows this account as active. Daily logins, consistent sessions, no support tickets. By every measure a customer success team typically watches, this property is healthy.
In February the owner reviews costs, cannot articulate what the software is doing that the spreadsheet was not, and cancels. The exit interview records price sensitivity.
The failure happened in November when one trained person left and nobody noticed that the property had quietly reverted. The signal was available the whole time: the rate module had not been opened in six weeks. Nobody was looking at feature-level activation, only at logins.
Leak four: expansion
Flat accounts and no unprompted referrals.
SaaS Capital's 2025 retention survey puts median net revenue retention at 102 percent for companies with contract values between 25,000 and 50,000 dollars, bottom quartile at 97 percent. Retention rises with contract value, so read the band nearest your own pricing rather than the headline.
Below 100 percent, every month of growth must come from new logos. That is the most expensive way to grow that exists, and it gets harder as you scale rather than easier.
The referral signal
Zero unprompted referrals is a particularly loud signal in hospitality. General managers move properties constantly, and the industry talks more than almost any other vertical. If your name is not travelling, something upstream is wrong, and it is usually activation rather than satisfaction.
A customer who is content but never reached full value has nothing specific to recommend. They will renew and say nothing.
Ranking beats listing
Having found several leaks, the temptation is to fix them in the order you discovered them, or the order that annoys you most. Do not.
Size each in revenue terms per quarter and fix the most expensive one first, leaving the others alone until it closes.
The reason is interaction. Improve conversion while activation is broken and you have increased the number of properties entering a process that does not work. Month-three churn gets worse, the metrics move in the wrong direction, and the team concludes the fix failed when the sequence failed.
The point nobody scores accurately
Which leak is genuinely the expensive one. Not through lack of rigour, but because you cannot see your own funnel from outside it, and the leak generating the most visible pain is rarely the one generating the largest number.
The 12-point leak audit is the structured version of this diagnosis, with a specific measure and threshold for each of the twelve points. It takes about twenty minutes on your own numbers.
Related reading
What are the four revenue leaks in hotel tech?
Which leak costs the most?
How do I know which leak I have?
Can you fix more than one leak at a time?
What if I cannot measure some of these?
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