Hospitality guest conversation analytics: product insights from guest enquiries

Short answer

To get product insights from guest enquiries in hotels and tourism, five fields are enough: booking question (dates, price, availability, cancellation terms), package (what is included, meals, excursions), transfer (airport, intercity), room (type, number of guests, children, view) and expectation gap (the mismatch between what the guest expected and what is offered). Crossed with season and the guest's source market, these fields show which package to build, which room type to add and which service to introduce.

In tourism a guest often decides after several conversations and compares several offers. So the most valuable information in conversations is what the guest asked for and did not get: it is the source both of lost bookings and of new products.

Why conversations matter in this sector

Online booking platforms show what a guest chose, but not what they looked for and could not find. In direct conversations, guests write: "can we have an extra bed for a child?", "is there an airport transfer?", "can we come with a pet?", "is there a three-night package?". These questions reveal product gaps, services competitors offer that you do not, and demand that shifts from season to season.

Recommended fields

1. 1Booking questionAvailability, price, cancellation terms, prepayment, date change, group booking.
2. 2PackageRoom only, breakfast, half board, all inclusive, excursion, spa, other.
3. 3TransferAirport, intercity, excursion transport, not needed.
4. 4Room and partySingle, double, family, with children, group; view, extra bed.
5. 5Expectation gapPhoto doesn't match, price higher than expected, service not offered, terms unclear, none.
6. 6Guest's marketDomestic, neighbouring countries, long-haul — from the booking system where possible.

The most useful cross-tabs

• Package × season: interest in all-inclusive in summer, spa or excursion packages in winter.
• Room × party: is there enough supply of family rooms or extra beds?
• Transfer × market: guests from which market ask about transfers most.
• Expectation gap × channel: guests from which channel have the most mismatched expectations.

Product decisions

1. 1Build packagesServices often asked about together (room + transfer + excursion) become a ready package.
2. 2Change room typesIf family and child enquiries are frequent, adapt some rooms to a family format.
3. 3Add services"We don't have it" services such as transfers, late check-out, pets allowed.
4. 4Clarify termsIf cancellation and prepayment terms are asked about most, show them clearly on the website and in the bot.

The expectation gap: photo vs reality

The most dangerous mismatch in tourism is between what a guest expected before arriving and what they found. In conversations it shows up in two places: before booking ("is the pool in the photo heated?") and after arrival ("the room is smaller than in the photo"). The first group is a chance to manage expectations; the second is a negative-review risk. The split of the expectation-gap field by room and package shows which photos and descriptions need updating.

Conversations and later reviews

In tourism, guests often write on a review platform after their stay. It is useful to compare topics seen in conversations before booking and during the stay with later public reviews: if the "room smaller than the photo" signal rises in conversations and appears in reviews a few weeks later, early warning works but the response is late. Tracking public reviews needs a separate tool.

Season and market

Tourism is one of the most seasonal sectors. Compare trends with the same period last year (customer demand trends) and split them by the guest's market: guests from different countries enquire at different times, choose different packages and ask different questions. Holidays, flight schedule changes and visa rules can shift one market's enquiries sharply — record them in the event log.

Illustrative example

This is an illustrative example. A hotel in a mountain resort assumes most summer enquiries are about "room only". Conversations show the "airport" value is high in the transfer field, and after these questions some guests leave without booking: the hotel has no transfer service and public transport is complicated. At the same time family guests ask about extra beds.

Decisions: a "room + transfer" package is created through an agreement with a local transport company, and several rooms are adapted to a family format. Next season the booking share after the transfer question is tracked.

For tour operators

For a tour operator the fields differ a little: destination, trip length, budget, flight and visa questions. The most useful insights are "destinations asked for but not offered" and the "budget × destination" cross-tab: which destination customers want at which budget, and whether the portfolio has a matching tour. Visa and flight questions may fall outside the operator's responsibility — record them separately.

Typical mistakes

• Reading a seasonal wave as lasting demand.
• Mixing guests from different markets in one report.
• Treating an expectation gap as the guest's mistake — the problem is usually the photo and description.
• Extracting passport and payment details into analytics fields.

Limits

• Conversations only see guests who write directly; most guests booking through platforms never write.
• One season of data is too little for trends — at least a year is needed.
• What a guest says about prices and competitors is perception, not market data.

Tourism fields in Vexvon

In Vexvon the hotel or tour operator sets up fields such as booking question, package, transfer, room and expectation gap itself; AI picks from the guest's words in each conversation and keeps the sentence as evidence. The panel's AI assistant gives cross-tabs such as package × season, trends and two-season comparisons; results can be written in several languages, which helps teams working with guests from different markets. More: analytics and the WhatsApp channel.

Next step

Read 50 enquiries from last season that did not end in a booking, and write down the service the guest asked for but did not find. To assess new demand, see voice of customer product insights; we can set up the fields together in a demo.

Further reading on this topic: campaign message mismatch.