Web

Selling tickets online has been a solved problem since 2005. If this page opened there it would be saying nothing, which is why ticketing is the last thing named on it.

What is not solved is everything around it. Your event lives on a ticketing platform’s page that is not yours and does not show up in Google. What you spend on advertising gets measured against clicks, because clicks are all anyone can see. And to find out how Friday is doing, someone has to open a dashboard, pick a date range and read a table.

Here the site and the ticketing are the same thing. Not because it is more convenient: because if they are not, there is no way to know what brought the sale.

On your domain, not on someone else’s

Event pages on your own site, with structured data and a sitemap that regenerates itself. No ticketing platform in this sector does it properly, and you pay for that traffic twice: once in advertising, and again in commission on a ticket you would have sold anyway.

It is also the only thing on this page you can measure before signing anything: connect Search Console and you can see what you were already losing.

And being citable by an AI

More and more people decide where they are going by asking a model rather than opening Instagram. That is not SEO again under a new name: it changes what a machine has to be able to read on your page, and how it has to be written.

Nobody in this sector has asked themselves this question yet, so today the answer to “do you come up?” is no, for everyone. What can be done is preparing the site so a model is able to cite you; guaranteeing that it will is in nobody’s gift, and it is worth being wary of anyone who promises it.

Instrumented from day one

Analytics, Search Console and the Meta and TikTok pixels on the same page that takes the money. And the purchase is tied to the person, not the device: someone who bought on a laptop in March and on a mobile in August is one person in your database, and in almost any other setup they are two.

That is what lets you stop optimising against opens and clicks and start optimising against the two figures that decide whether a campaign is worth it: cost of acquisition — split between a new customer and one who was already coming — and return on ad spend, measured in tickets rather than in conversions declared by the very platform charging you for them.

Asking, and getting an answer

The piece that makes it possible is MCP, the standard protocol for a language model to query a system and act on it. And it is not theory: it already runs on Papagayo Tenerife’s data, with named insights and an advisory layer, inside the dashboard the team uses daily.

What is missing is taking it out of the dashboard and putting it where you would actually ask — over WhatsApp, written the way you would ask a business partner — and doing it per client. That is under construction, and while this page says so in the future tense it is because it is not there yet.

And it is worth being precise about which direction it runs, because there is software in this sector already advertising WhatsApp and it is a different thing: that is you writing to your customers. This is the other way round. You ask “how is Friday doing against last Friday?” and it is your business that answers.

Three house rules

These are not features, they are decisions. And you can read them today, because a decision does not have to be built to be taken.

The price you see is the price. No fee that appears at the last step. This entire sector shows one number on the listing and charges another at checkout, and that gap comes out of your customer’s trust, not ours.

Resale at face value or no resale. A ticket can be transferred, and always for what it cost. It is not a moral position: it is that the secondary market on your event takes money you never see, annoys your crowd and leaves you holding the complaint.

And when you sell out, the people who missed it queue with you. Whoever cannot go returns their ticket, and that ticket goes back into the queue at what it cost. For a fan it is the only honest way into something sold out. For you it is something you do not have today: knowing how much demand you turned away, which is the figure you use to decide whether next year gets another date.

The last two arrive with our own ticketing, and this page says so until they do.

The boring parts, which are also needed

Sales phases governed by the real rate of sale and by inventory, not by a calendar decided in January. And analysis of the event as soon as it closes.

Where it is today

The advisor on your own data runs in production inside the dashboard, with a real client. Our own ticketing ships with deliberately minimal scope — the first job is reading your data, not replacing your payment rail — and the first client starts on it this season. The WhatsApp channel is under construction.

You do not have to switch ticketing platform to start

We connect to the one you already use and read your data. Moving the payment rail is a later decision, and it is yours.