notitur.com September 28, 2026
Hotel Technology1 min read

Hotel personalisation starts with tidy data, not with buying AI

JSBy Joan SanzCurated by Joan Sanz. · September 28, 2026 · Follow on LinkedIn
Voice reading · ~2 min

Hospitality Net has published a practical guide on how a hotel can start personalising the full guest journey, from anonymous website visits to post-stay follow-up, blending data, AI and staff judgement. The piece lays out a phased approach with concrete touchpoints at each stage, and one message I fully share: technology on its own personalises nothing. What personalises is tidy information and a team that knows how to use it.

In my view, the most common mistake at boutique hotels and mid-sized chains is starting with the tool. You buy a CRM, a recommendation engine or an AI module and expect the delighted guest to appear. It does not. What appears is a website with generic banners and an email calling "María" a guest who booked under another name. The Hospitality Net guide is right to insist on this: first define what data you have, who touches it and why, then decide what to automate.

For an independent hotel or a small chain I would focus on three things before spending a euro on AI:

The opportunity is there. Whoever tidies their data this year will hold a concrete edge once AI matures. Whoever buys the tool first will just hold another subscription.

Quick questions

Where do I start to personalise my hotel?
With data, not with the tool. Unify reservations, PMS and loyalty into a single guest profile, and define who touches it. Without that base, any AI you layer on top delivers generic recommendations or even mistakes with the guest's name or preferences.
Do I need AI to personalise the guest experience?
Not at the start. The Hospitality Net guide suggests beginning with tidy data, clear touchpoints and engaged staff. AI comes later, to scale what already works. Buying it first only accelerates whatever mess you already have.
Which parts of the guest journey can be personalised?
All of them: anonymous website visit, booking, pre-stay, check-in, stay and post-stay follow-up. The sensible move is choosing two where your data is reliable, pre-stay and check-in for example, doing those well before expanding.
How do I measure whether personalisation works?
With metrics tied to the journey, not to departments: web conversion rate, revenue per stay, take-up of hotel services, post-stay satisfaction. If the number does not move at the touchpoint you worked on, your personalisation is decorative.
Does it work the same for an independent hotel as for a chain?
The method is the same, the scale differs. An independent can start with one unified profile and two journey moments. A chain also needs data governance and training at each property, because the front desk is where information gets lost.

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