In-room TV data: which KPIs to watch and how to use them
KPI 1 — Power-on rate per room
The percentage of occupied rooms that switch the TV on at least once a day. Typical values: 55–75% in city hotels, 40–60% in summer resorts. A very low figure signals an unappealing interface, a confusing remote control, or poor TV placement.
KPI 2 — Service page opens
How many sessions open room service, spa, excursions or the restaurant page. This is the first indicator of commercial potential: if opens are high but conversions are low, the problem lies in the price or the ordering experience, not in visibility.
KPI 3 — Conversion and average order value
Orders completed against pages opened, and the average order value from the TV. This should be compared with the phone channel: where the TV converts better, it's worth shifting the main promotion there; where it converts worse, the page needs simplifying.
KPI 4 — Actual language mix
The distribution of languages selected reveals the property's real market, often different from the perceived one. It's valuable data for deciding which languages to translate the website, menu and advertising campaigns into.
KPI 5 — Technical tickets per 100 rooms
The number of monthly technical call-outs per 100 rooms. Below 1 means a healthy system; above 3 points to a network, power or hardware issue that needs investigating before it turns up in reviews.
How to use them in the weekly meeting
Five numbers on a single slide are enough: power-ons, service opens, conversions, average value, tickets. Compared with the previous week, they give the manager immediate evidence of the effect of actions taken, from a new spa page to a room service price change.
Privacy: aggregated data only
All of these metrics are produced in aggregated, anonymous form. There is no need — and it should not be done — to link viewing behaviour to an individual guest: the management value lies in the totals, not in individual profiles.
Frequently asked questions
Is the data available in real time?+
Dashboards show aggregated daily data; operational metrics such as technical tickets and device status are real-time.
Can I export the data into my BI tool?+
Yes, via CSV export or API, to integrate in-room TV metrics into the revenue management dashboards already in use.
Can the data be traced back to an individual guest?+
No. Statistics are aggregated and anonymous; identifying data is deleted at check-out.
Which metrics should I look at first?+
Power-on rate and service conversion: together they show whether the experience is working and whether it's generating revenue.