Filling 1-2 night booking gaps on Airbnb: six things I tried, three that actually worked

For a long time I treated 1-night and 2-night gaps between bookings as just the cost of hosting. Unavoidable. Part of the deal. Then I did the maths on my Brighton flat across a full calendar year and found that orphan gaps — windows between bookings that are too short to fill at standard minimum night requirements — were accounting for about 18% of potential revenue. That's a lot of empty nights.

So I started testing things. Here's what I tried, what didn't work, and the three approaches I still use twelve months later.

The gap problem, properly understood

An orphan gap is a window of 1-3 nights between two existing bookings that sits below your minimum stay requirement. If you require a 3-night minimum and you have a booking ending Saturday and starting the following Wednesday, Tuesday is an orphan night. Nobody can book just Tuesday unless you lower your minimum for those specific dates.

The issue is that manually spotting and adjusting these across multiple listings is tedious. I was checking manually every Sunday morning, catching maybe half of them. The ones I missed either sat empty or filled accidentally on booking day — someone requesting Tuesday specifically, which happened rarely.

What I tried

1. PriceLabs gap filling (works)

PriceLabs has a feature called gap filling — it automatically identifies orphan windows and drops the minimum night requirement to match the gap length. So a 2-night gap automatically allows 2-night bookings for those specific dates. The pricing can also be set to discount those nights to incentivise filling them.

I've had this running on three properties for about eight months. It fills roughly 35-40% of orphan windows that would otherwise go empty. Not every gap — 1-night windows often don't fill regardless because short stays require a lot of guest admin relative to the nightly rate — but 2-night and 3-night gaps fill much more reliably. Setup takes about 20 minutes once you're in the platform. No ongoing manual input required.

This is the best single thing I did for gap revenue.

2. Last-minute discount pricing (works)

I set a 15% discount for bookings made 3 days or fewer before check-in. Airbnb supports this natively in the pricing settings. The discount applies automatically to all last-minute windows, including the orphan gaps that didn't fill during the initial booking period.

Combined with the PriceLabs minimum-night adjustment, last-minute discount is very effective for the 48-72 hour before check-in window. Not every property benefits equally — my Lake District cottage doesn't get many last-minute bookers because it's a destination requiring planning. The Edinburgh flat and Brighton flat do. Both are in cities where spontaneous city-break decisions happen.

15% is the number I've landed on after testing 10% and 20%. Below 15% doesn't seem to change demand noticeably. Above 20% fills more nights but starts to feel like I'm training guests to wait for discounts.

3. WhatsApp list for previous guests (works, with caveats)

I send a message to my opt-in past guest list when a gap comes up and I haven't filled it by three days out. Not a newsletter — just a short WhatsApp saying 'I've got a 2-night window in the Brighton flat from Friday, discount available if you're interested.' Maybe 40 people on that list who've explicitly said they want it.

Fills roughly one gap a month across all five properties. Low conversion rate but zero cost and almost no effort once the list exists. The main caveat: be sparing with this. I message them maybe twice a month maximum. More than that and people stop opening it.

4. Reducing minimum night requirement site-wide (doesn't work long term)

I tried dropping from 3-night minimum to 2-night minimum for a whole quarter on two properties. It filled more gaps, obviously. But it also filled the non-gap windows with 2-night stays, which increased my turnover frequency and didn't improve my monthly revenue because the 2-night stays were taking the calendar space that 3 or 4-night stays used to fill. Turnover cost per night went up. Net result: probably flat or slightly negative.

The targeted gap-filling approach (PriceLabs) gets the benefit of lower minimums only where it's needed, without corrupting the baseline booking pattern. Global minimum reduction is a blunt instrument.

5. Charging extra for 1-night stays (mixed)

Airbnb lets you set a higher rate for stays below a certain length. I tested a 25% premium for 1-night stays. The logic: if someone wants just one night, they're paying a bit more to cover the disproportionate cleaning and turnover cost.

Results were mixed. It didn't discourage 1-night bookings as much as I expected, which suggests 1-night guests in my locations are less price-sensitive than I thought. But it did improve my 1-night stay margin, which partially offsets the higher turnover cost. I still run it on two properties. I abandoned it on the others because the pricing complexity wasn't worth it.

6. Promoting gap windows on Instagram (didn't work)

For about three months I posted gap availability on a property Instagram account. 'Brighton flat free this weekend, discount available.' It got some engagement and zero bookings. Maybe my following was too small. Maybe the audience isn't there for that kind of impulse-booking behaviour via Instagram. I stopped after three months when it was clear it was generating no return on the time invested.

What the three working strategies look like together

PriceLabs gap filling handles the bulk of it automatically. Last-minute discounts catch what's left as the gap approaches. The WhatsApp list is a manual backup for anything that reaches the 72-hour mark unfilled.

Since implementing all three across five properties:

• Brighton flat: orphan gap revenue up about 40% year-on-year
• Edinburgh Old Town flat: up about 35%
• Edinburgh New Town flat: up about 30%
• Lake District cottage: minimal improvement (destination property, short stays aren't what guests want)
• Rural property in Shropshire: minimal improvement for similar reasons

The city properties benefit most, as you'd expect. The destination/rural properties don't have the same last-minute spontaneous booking market, so gap filling is less useful even when gaps exist.

The one thing I wish I'd done sooner

Set up proper gap tracking. For months I was doing this by feel — 'I think there's a gap in late October' — rather than actually running a report. PriceLabs shows your orphan windows in a calendar view. Once I could actually see what I was losing each month, the motivation to address it properly became obvious. The number was bigger than my gut had told me it was.

If you're running three or more properties and you haven't looked properly at your orphan gap rate, it's worth spending 30 minutes with your calendar data and a calculator before you try any of these strategies. You might find the problem is smaller than you thought — or significantly bigger, which is what I found with the Brighton flat. Either way, you should know the actual number before you start testing things.