Defining lapsed with a number rather than a feeling
Every venue has a natural rhythm, and lapsed means different things inside each one. A daily coffee shop loses a customer in a fortnight. A restaurant people visit for occasions might not expect anyone back for four months. The workable definition comes from your own data: take the median gap between visits for guests who do return, and set the lapse threshold somewhere beyond it, far enough out that you are not chasing people who were simply on holiday. That threshold, not a generic ninety day rule, is what makes the campaign land as attentive rather than as noise.
Segment before you send, because not every quiet guest is the same
Sending one message to everyone who has gone quiet wastes the best prospects and annoys the rest.
- The lapsed regular: many visits, then nothing. The highest value segment by a distance, and the one worth a real offer.
- The quiet occasional: two or three visits spread thin. Worth a light touch reminder, not a discount.
- The one-timer: a single visit long ago. Cheap to include, low expectation, and often a tourist who was never coming back.
- The seasonal guest: a pattern of returning at the same time each year. Do not treat them as lapsed, treat them as due.
What the message should say
The instinct is to lead with a discount, and it is usually wrong. A discount to a lapsed regular says you think price was the problem, when the reason was more likely a new job, a house move, one bad visit or simple drift. The messages that work acknowledge the absence lightly, give a concrete reason to return that did not exist last time they came, and make the return easy. A new menu, a changed chef, a refurbished room, a returning event. If nothing has changed, say something honest and small rather than manufacturing urgency, because a lapsed guest can smell a template. Save the offer for the segment where you know price genuinely mattered.
One message, then leave them alone
The discipline that separates a win-back campaign from harassment is the stopping rule. Send once. If there is no response, wait a full cycle before any further contact, and move the guest into normal list frequency rather than a chasing sequence. A person who has gone quiet and then receives four reminders in a fortnight does not return, they unsubscribe, and you lose the ability to reach them when you actually do have news worth sending. The campaign is worth running because it is rare, not because it is persistent.
Measuring whether it worked
The measurement is unusually clean here, because the outcome is a visit rather than a click. Take the list of guests who received the message, and count how many produced a WiFi session within the following few weeks. Compare that against a held-back group of similar lapsed guests who received nothing. Without the holdout you cannot separate people the message brought back from people who were coming back anyway, and that difference is the entire question. Keep the holdout small, keep it random, and keep it every time you run the campaign.
How to set it up
In order. Skipping a step here is usually why a portal ends up showing a spinner instead of a login screen.
- 1
Establish the normal visit gap first
Pull the median gap between visits for returning guests. Everything in this campaign depends on that figure, and guessing it produces messages that land too early or far too late.
- 2
Build the lapsed segment
Filter guests whose last session is older than your threshold, who consented to marketing, and who are not currently in a seasonal pattern. Split the result by visit count into the segments above.
- 3
Hold back a control group
Randomly exclude a slice of each segment and send them nothing. Without a control, any returns you see will be credited to the campaign whether it earned them or not.
- 4
Write one message per segment
Different copy for the lapsed regular and the one-timer. Lead with what has changed, keep it short, and reserve any offer for the segment where you have reason to think price was the issue.
- 5
Send once, then measure the visits
Wait several weeks, then compare session counts between the messaged group and the control. Record the result before you run the campaign again, because the second run is only smarter if the first one was written down.
Who this suits
The venue types where this job comes up most often, and where the data the portal produces is dense enough to act on.
Run this on your own network first
The Starter plan is free forever: one location, 25 logins a month, a branded splash page and consent logging. Growth is $49 a month and covers up to three locations. Works with TP-Link Omada and Ubiquiti UniFi.
Common questions
When is a customer actually lapsed?
When they have been away meaningfully longer than they usually stay away. Derive it from your own median visit gap rather than adopting a generic ninety day rule, because a daily coffee shop and an occasion restaurant are not measuring the same thing at all.
Should the win-back message include a discount?
Usually not for a lapsed regular. Price is rarely why a regular stopped, and a discount trains the base to wait for one. Lead with something that has genuinely changed, and reserve offers for the segments where you have a reason to believe price mattered.
How do I know whether the campaign worked?
Hold back a random control group who receive nothing, then compare the share of each group that produced a WiFi session in the following weeks. The gap between the two is the campaign effect. Without a control you are measuring people who were coming back anyway.
Can I still email someone who has not visited in a year?
Only if their marketing consent is still valid and they have not opted out. Long dormancy is a good moment for a re-permission message that asks whether they still want to hear from you, since a smaller list of people who confirm is worth more than a large one that generates spam complaints.
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