Hospitality marketing analytics benchmarks for hotels

What to take away

Hotel marketing metrics and their context

The figures below are hotel examples, not universal targets. Each metric needs a defined population, period and measurement unit, with the published source or property-level calculation method identified beside it.

Direct booking share. The percentage of room nights booked through the property's own channel rather than an OTA or a call center. Kalibri Labs tracks this across US hotels and reports independent and branded properties separately. Independents typically sit lower than branded flags, and the gap is the whole argument for direct-booking spend.

The pooled band for independents commonly runs 20 to 35 percent of room nights. That band hides its spread: individual properties typically land from about 10 to about 45 percent.

Sample size decides how much weight the band carries. Kalibri Labs reports by quarter, and the panel behind the pooled figure is national. Eight nearby hotels are not the same evidence, so ask how many properties sit in the window you quote.

RevPAR, ADR and occupancy. Revenue per available room, average daily rate, and the share of rooms sold. STR and CoStar publish these monthly by market and segment. RevPAR is ADR multiplied by occupancy, so quoting one without the other two hides whether a gain came from rate or from filling rooms at a discount.

Recent full-year US figures, as STR and CoStar report them in their monthly releases, typically run occupancy in the low 60s percent, ADR around 150 to 160 US dollars and RevPAR around 95 to 100 dollars. The window is the 12 months to the latest monthly report.

Repeat stay rate. The share of guests who book a second stay inside a stated window, usually 12 or 24 months. This is the number loyalty programs exist to move. It depends entirely on how you identify a guest, so a rate built on email match and a rate built on loyalty ID are not the same figure.

No national publisher issues a repeat stay rate. Typical property-level figures run from about 15 to about 40 percent of identified guests over 12 months, and the identification method moves that band more than the marketing does. The source is your own PMS or CRM, and the window is the 12 months the rate is built on.

Cost per fulfilled outcome. Media and service cost divided by settled stays, covers or visits. The word "fulfilled" carries the weight: a booking that cancels is not an outcome.

Typical paid-channel cost per settled stay runs from about 15 to about 60 US dollars. The source is your own ledger and the window is the campaign period you settle against.

Conversion rate. The share of visitors or sessions that end in a completed booking. No publisher issues a national hotel conversion rate, because the denominator changes the answer.

Where the denominator is sessions and the journey ends at a completed reservation on the property site, agency and vendor panels typically sit near 1 to 4 percent. The window is the same visit the booking started in.

A rate built on people, or on a 30-day window across devices, sits elsewhere for reasons that have nothing to do with marketing.

Review volume and rating by platform. TripAdvisor, Google and Yelp each have their own review populations, so platform ratings are not directly comparable. A 4.6 on Google and a 4.1 on TripAdvisor can describe the same hotel; these figures illustrate the difference between platforms, not a typical rating or review-volume benchmark.

Net contribution return. Revenue minus refunds, commissions, discounts and variable cost, divided by spend. This is the only benchmark that survives contact with a P&L.

Typical net contribution return runs from about 3 to 1 up to about 8 to 1 once the ledger carries refunds, commissions, discounts and variable cost. The source is your own ledger and the window is the period you settle.

Grain: the unit each rate counts

Google's Analytics dimensions and metrics reference defines a session as a group of interactions inside a time frame, with stated start and timeout rules. That unit answers digital questions well. It is not a reservation, a stayed room night or a person.

A session-based conversion rate set beside a guest-based repeat rate compares two populations, so the gap is a matter of grain, not performance. Report the numerator and the denominator together.

A 40 percent conversion rate on 15 sessions is noise, and the reader cannot tell without both counts. Documenting why a session is not a guest settles common hospitality marketing analytics questions before anyone puts two rates in the same slide.

Build a matched range, not a target

A range with a stated spread beats a single target. If the comparison group is eight properties and one is an airport hotel, say so.

Reproducing the figure

The GAO evaluation design guide ties evaluation questions to the evidence each one needs, and federal evaluation guidance does not make a local marketing result causal or transferable.

The NIST experimental design selection guidance starts design choice with the objective and the practical constraint, which keeps benchmark reporting separate from controlled effect estimates.

Record population, period, inclusion rules, calculation, currency, maturity window and uncertainty before any comparison. Recalculate the figure from the cited source and record any mismatch. For reading hospitality marketing analytics with a sceptical eye, keep the evidence record beside the decision so a reviewer can reproduce the reasoning without memory.

Read next: Hospitality marketing analytics best practices: the discipline behind the results.

Common questions

What is a good hotel conversion rate?

There is no universal figure. The rate depends on the journey definition, the denominator, the market and the property. It also depends on price, availability, channel and period. Quote all of them or quote none.

Can two restaurants share a benchmark?

Yes, when the measure and operating context match and remaining differences are disclosed. A quick service counter and a full service dining room should be compared within their respective segments for conversion, not treated as a matched pair.

Should benchmarks set targets?

They can frame the question. Targets should reflect local economics, capacity, guest value and what the team can actually change this quarter. A benchmark from another market is a starting point, not a goal.