69% of tourist rental businesses can't take a booking online. That's a marketing problem

Of 1,759 car, motorbike and boat rental businesses in five major tourist hubs in Spain, 69% cannot be booked online at all, according to a study of 1,759 rental businesses in Spain. The reservation arrives by form, email, WhatsApp or phone, and someone answers it by hand.

That should worry anyone who sells marketing to local service businesses. Every euro spent on ads, SEO or a new website for those companies ends at a human inbox. The traffic report looks healthy, the cost per click looks reasonable, and the funnel still doesn't close on its own.

This piece is not a summary of the study. It is what the numbers mean for marketers and agencies: where the conversion leaks, why "has a Book button" proves little, and how a cheap measurement method got the headline number wrong by a factor of four.

What "bookable" actually means

The study sets a clear bar. A business counts as bookable only if a visitor can pick a specific unit for specific dates and have it held without anyone answering. A form that asks for a name, a phone number and a message does not count. Neither does a WhatsApp button, even though a quarter of the businesses (25.9%) publish WhatsApp as a contact channel.

In marketing terms, that is the difference between a lead and a conversion:

• A lead is someone who raised a hand: they sent a form, tapped "chat" or called.
• A conversion is the outcome the business is paid for: a held unit, ideally with a deposit.

Most local-business reports merge the two. "142 conversions this month" often means 130 form submits and 12 bookings. That number flatters the funnel and hides where the money is lost. It also trains the ad platforms on the wrong signal. If you tell Google Ads or Meta that a form submit is a conversion, the algorithm will find you more people who like filling in forms, not more people who book.

Where the leak is: three moments

The study names three situations where a manual funnel loses customers. Each has a familiar name in marketing.

1. Out of hours: speed-to-lead

A request sent at 11 p.m. waits until someone opens the inbox in the morning. A competitor whose site takes the booking at 11 p.m. doesn't wait. No bid strategy or ad copy fixes a reply that arrives ten hours late. When the customer is choosing between near-identical scooters or cars, the first business to confirm has an obvious advantage.

2. Peak season: capacity is a conversion constraint

Manual handling scales with demand, which means it breaks exactly when demand peaks. In high season the team is busiest with handovers and returns, replies slow down, and enquiries pile up. Meanwhile the marketing budget is usually at its highest, pushing even more traffic into the bottleneck. More traffic into a funnel that can't absorb it is not growth; it is a longer queue.

3. Commitment: deposits remove no-shows

A form or a chat holds nothing. The customer can enquire with five companies and turn up at none. Taking a deposit at the moment of booking is a commitment device: it turns "maybe" into a reserved unit and filters out the enquiries that were never going to show. A funnel without that step leaves the business carrying the risk of every unconfirmed "see you on Saturday".

The plugin trap: a Book button is not a closed funnel

According to the study, 30.8% of the businesses are bookable on their own website, and another 0.3% through a marketplace their listing points to. But only 4.7% run a recognisable booking engine. That means only about 1 in 7 of the bookable businesses uses real rental software. The rest wired a shop or calendar plugin to a vehicle.

For a marketer, the lesson is simple: "has a Book button" is not the same as "the funnel closes". Before you send paid traffic to a booking page, audit what happens after the click:

• Does the page show real availability for the dates the visitor picked?
• Is the unit actually held, or does someone still have to confirm it by hand?
• Is the full price visible, including the deposit and any extras?
• Does a confirmation arrive automatically, with the details the customer needs?
• What happens if two people book the same scooter for the same afternoon?

If any answer is "someone checks it in the morning", you are looking at an enquiry funnel with a nicer button.

The measurement lesson: how the first number was wrong by 4×

This is the part of the study worth remembering even if you never work with a rental company.

The researchers' first pass was cheap and fast. It downloaded each business's homepage once and looked for the fingerprints of known booking engines in the HTML. Result: 8% bookable.

Then they checked with a real browser, the way a customer would. On a sample of 119 businesses, the browser found 34 booking flows that the cheap method had missed, and no false ones. The real bookable share came out at about 31%. The first estimate had undercounted bookable businesses roughly four-fold.

The reason is technical, and common. Booking widgets usually load with JavaScript after the page renders, often inside an iframe or from a third-party domain. A plain download of the HTML never sees them. Neither does an SEO crawler running without JavaScript rendering.

Three lessons follow for anyone who publishes, buys or quotes a "% of businesses do X" statistic:

1. Ask how it was measured before you put it in a pitch deck. Crawl or real browser? Homepage only, or the whole flow? How big was the sample, and when was it collected?
2. Apply the same suspicion to your own audits. If your tool doesn't render JavaScript, it will miss chat widgets, booking forms and consent banners, and your "the client has no online booking" finding may be wrong.
3. Validate automation with a manual sample. The study's 119-business browser check is what exposed the error. Even a small manual sample can catch this kind of mistake before it reaches a client report.

How to measure this on a client's site

The study shows the gap across a market. Here is how we measure it for a single business, before spending a cent on more traffic.

Track leads and bookings as different events

Send only the last one to Google Ads and Meta as the conversion you bid on. Keep leads as a secondary signal. Tag every campaign link consistently (a UTM builder helps), so a confirmed booking can be traced back to the ad, email or post that started it.

Run the 2-minute phone test

Take your phone, open the client's site from a search result and try to book a specific unit for specific dates, for example a scooter next Saturday from 10:00 to 18:00, without talking to anyone. Write down:

• how many taps it took to see availability and the full price;
• whether the unit was held without a human reply;
• whether a confirmation arrived automatically.

If the test ends in a form, a chat window or a phone number, the client has an enquiry funnel. Their marketing problem is not traffic.

Report two lines, never one

Show enquiries and bookings as separate lines, along with the enquiry-to-booking rate and the median time to first reply. When you merge them into a single "conversions" figure, nobody sees the bottleneck. If the reply time is measured in hours, the fix is usually automating the booking and lead handling rather than raising the ad budget. A simple ROI calculation on bookings, not enquiries, usually makes that case on its own.

What the data does not say

A study is only as good as its limits, so here they are:

• It covers businesses listed on Google Maps only.
• It is a snapshot. Listings were collected on 9 September 2026 and the websites were verified on 22 September 2026.
• It has no revenue or booking-volume data. It measures whether a booking can be made online, not how many are.
• The regional figures are synthetic estimates. Bookable shares range from 28.6% to 33.4% across regions, inside the margin of error, so no region is behind.
• The 69% has a 95% confidence interval of 56.9–80.8%, and the authors treat it as a floor rather than a midpoint.

The aggregates are published as CSV under a CC BY 4.0 licence on the study page, and no business is named in them.

Disclosure: one of the authors of this article is a co-founder of Renviq, the company that ran the study.