Understanding WiFi Analytics: Reading Your Dashboard

Why WiFi Data Is Different from Every Other Source

Most analytics a venue looks at measure online behaviour: website visits, social engagement, online bookings. Useful, but they measure interest, not presence.

WiFi data measures people who were actually in your venue, and when. It links a digital identity (an email, a device, a visit history) to a physical fact: they were at the corner table on Tuesday from 12:30.

Two limits are worth stating up front. Only guests who join the WiFi appear at all, so a party of four may show up as one login. And a device that is still authorised can come back without logging in again, so returns inside that window are not counted (a published VoqadoWiFi portal authorises each device for 8 hours). Read every number below with those two facts in mind.

The Core Metrics and What They Actually Mean

New vs. Returning Guests

The share of logins from first-time guests against returning ones. It shows the balance between finding new people and keeping them.

There is no universal healthy ratio. A hotel near an airport will always see mostly new faces; a neighbourhood café should see mostly familiar ones. What matters is the direction. A slow shift toward returning guests is usually good news, even if the new guest count is flat. A steady rise in the new share, with no change in footfall, suggests people are not coming back.

Login Rate

Of the devices that join your guest SSID, how many complete the portal? Your Omada or UniFi controller lists the clients on each SSID, so you can compare that count with logins for the same day.

In VoqadoWiFi, the Portal funnel on the Analytics page compares portal opens with sign-ins once both are being recorded for your venue. When the rate drops, the cause is almost always the portal: it loads slowly, the form has too many fields, social sign-in fails on one kind of phone, or the walled garden is missing an entry. Rerun the tests from Lesson 2. If the rate is high and stable, write down what you did and leave it alone.

Average Session Length

How long devices stay connected. It is a proxy for dwell time with caveats: some guests leave without disconnecting, some phones drop off WiFi to save battery while the guest is still sitting there.

Things to watch:

• Very short sessions may be people collecting takeaway or checking something quickly, which is normal in some venues
• Very long sessions may be remote workers or event guests, who might deserve their own offer
• A sudden fall that your venue type does not explain is worth investigating: slow internet, a dead access point, or a service problem

Peak Periods

WiFi logins show when people actually arrive, including guests who never pay at the till themselves.

Use them to:

• Check assumptions about your busiest hours, which are often not what staff believe
• Find quiet periods where a small promotion could bring people in without straining the team
• Line up staff rotas with real arrivals rather than habit

Visit Frequency

How many returning guests come once a month, two or three times, or more? A thin top end (few guests visiting four or more times a month) suggests your reasons to come back, such as loyalty rewards, regulars' perks and events, need work.

Building a Weekly Review Habit

The value comes from looking at the same few numbers regularly and noticing change. Spend the first four to eight weeks building a baseline before you act on anything.

Every Monday (15 minutes):

1. 1New vs. returning: up or down on last week? Why?
2. 2Login rate: any drop, especially on one type of phone?
3. 3Total logins against the same week last month
4. 4Busiest days and hours: any shift?

Every month (45 minutes):

1. 1Cohort retention: of guests who first visited two months ago, how many have been back?
2. 2Campaign results: which emails were followed by a WiFi login from the recipient within 7 days?
3. 3Segments: how have your regulars, occasional guests and one-time visitors changed in size?

Cohort Retention

Cohort analysis groups guests by the week or month of their first visit and tracks what share return over the following weeks. It answers the question that matters: is the experience turning first-timers into regulars?

Do not compare your curve with someone else's. Compare this quarter's cohorts with last quarter's, and the same month last year. If very few first-time guests ever return, look at the visit itself before spending more on email. Marketing cannot fix a disappointing experience.

Translating Data Into Decisions

Numbers only matter when they change what you do. Some direct translations:

You do not need to become a data analyst. Ask the WiFi data a few questions on a regular schedule and let the answers check your instincts.

• 1The balance of new and returning guests tells you whether you are building regulars or renting footfall
• 2Session length is a rough proxy for dwell time, with blind spots you need to know about
• 3A falling login rate is usually a portal problem: speed, too many fields, or a broken sign-in path
• 4Peak period data can shape staffing rotas as well as marketing
• 5Compare against your own baseline; cohort retention separates seasonal swings from real churn