Executive summary
This report analyzes the complete Airbnb message history of a single high-volume host over 9 years — 24,629 messages across 1,499 conversations with 1,236 unique guests. The property is a short-term rental in West Sacramento, California, operated by a top-1% superhost by volume and review score in the Sacramento metro area.
The data reveals a clear pattern: guest communication is predictable, concentrated, and time-sensitive. Nearly half of all conversations center on one topic. The highest-volume messaging window overlaps with the hours hosts are least available. And the average guest message is just 23 words — a quick question that demands a quick answer.
The core finding: guests have predictable questions. They ask them at unpredictable times. And they want answers in seconds, not hours.
Key findings
Finding 1: 43% of all conversations are about check-in and access
This finding held consistent across 9 years of data. Regardless of season, property improvements, or how detailed the pre-arrival instructions were, guests still messaged about getting in the door. The first physical interaction with the property — arrival — generates the most communication.
This has implications for every host: no matter how thorough your listing description, guidebook, or automated check-in message, nearly half of your guest conversations will be about access. The information exists. Guests don't read it in the moment they need it.
Finding 2: 44% of messages arrive outside business hours
During business hours, the median host response time in this dataset was approximately 10 minutes. After 10pm, the average response time jumped to 5 to 6 hours. A guest who messages at 11pm is typically waiting until morning.
This gap matters because the questions don't stop when the host goes to bed. A guest standing at the door at 11pm with the wrong code has the same urgency whether it's noon or midnight.
Finding 3: 41% of messages arrive between 4pm and midnight
The concentration is striking. Between 4pm and midnight, guests are figuring out the door code, the thermostat, the TV remote, the coffee maker, the WiFi password. They're oriented toward the physical space and need answers immediately — not in a pre-arrival email they have to scroll back to find.
| Time block | Share of messages | Avg. host response time |
|---|---|---|
| 9am – 5pm (business hours) | 56% | ~10 minutes (median) |
| 5pm – 10pm (evening) | ~28% | ~30 minutes |
| 10pm – 9am (overnight) | ~16% | 5–6 hours |
Finding 4: Early check-in is the most repeated individual request
Finding 5: The average guest message is 23 words
Finding 6: Most stays are actually smooth
This is the paradox of short-term rental hosting. You can have an operationally excellent property — top 1% in your market — and still lose a star because one guest couldn't figure out the lockbox at 11pm and had to wait until morning for a response.
Finding 7: Host messaging volume doubles over time
Methodology
Data source
Complete Airbnb message export for a single host account, covering December 2016 through February 2026. The property is a short-term rental listing in West Sacramento, California — a non-destination market serving business travelers, families, and event attendees.
Dataset scope
| Total messages | 24,629 |
| Conversation threads | 1,499 |
| Unique guests | 1,236 |
| Time span | 9 years, 2 months |
| Property type | Entire home, 2 listings |
| Market | Sacramento metro, California |
| Host status | Superhost (continuous), top 1% by volume |
Analysis method
Messages were exported from Airbnb's native data export tool, then analyzed for topic classification, temporal patterns, and message characteristics. Topic classification was performed using keyword matching and manual review of ambiguous threads. Temporal analysis used the original message timestamps in Pacific time.
Limitations
This dataset represents a single host operating in a single market. Guest communication patterns may vary by property type (shared room vs. entire home), market (resort vs. urban vs. rural), price point, and host experience level. The data reflects Airbnb-specific messaging; guests who contacted the host through other channels (phone, text) are not represented. This report documents observed patterns, not controlled experimental results.
What this means for short-term rental hosts
The data tells a consistent story across 9 years and 1,236 guests:
Guest questions are predictable. The same topics — check-in, access, amenities, local information — repeat across every guest, every stay, every year. A property that has hosted 50 guests will see the same questions from guest 51.
Guest questions are time-sensitive. The highest-volume messaging period (4pm–midnight) overlaps with the hours hosts are least available. The questions don't wait for business hours. A 5-6 hour response gap after 10pm means guests are left waiting through the most critical part of their arrival.
Guest questions are short. At 23 words average, guests want a specific answer to a specific question. They don't want to read a guidebook. They don't want to search a PDF. They want to ask and get an answer.
The gap isn't information — guests have the information. It's access. At 11pm, standing at the door with luggage, nobody scrolls through a welcome packet. They need to ask someone. And if that someone is asleep, the question waits until morning.
This is the problem that AI guest communication tools solve. Not by replacing the host, but by being available when the host can't be. The technology ranges from text-based automation (scheduled messages, keyword triggers) to AI voice concierges that answer questions conversationally in real time.
For a comparison of approaches, see The Complete Guide to AI Guest Communication for Short-Term Rentals.
Frequently asked questions
What do Airbnb guests message about most?
Check-in and property access. In this analysis of 24,629 messages across 1,236 guests, 43% of all conversations touched check-in and access — door codes, lockbox instructions, gate codes, and which entrance to use. This was the most common topic every year for 9 consecutive years.
What percentage of Airbnb guest messages arrive outside business hours?
44% of all messages in this dataset arrived before 9am or after 5pm. The single highest-volume block is 4pm to midnight, accounting for 41% of all messages — the period when guests are arriving and exploring the property for the first time.
How long do hosts take to respond to late-night messages?
In this dataset, the average response time after 10pm was 5 to 6 hours, compared to approximately 10 minutes during business hours. This gap means guests who message late at night typically wait until the next morning for an answer.
How many words is the average Airbnb guest message?
23 words. Guest messages are short, specific questions — not conversations. This is why long-form guidebooks and PDF welcome packets often go unread. Guests prefer to ask a quick question and get a quick answer.
What is the most common individual guest request on Airbnb?
Early check-in. 11.5% of guests (142 out of 1,236) in this dataset requested early check-in, making it the single most repeated individual request over 9 years.
What is AI guest communication for vacation rentals?
AI guest communication is the use of artificial intelligence to automatically answer guest questions at short-term rental properties. Systems range from text-based automation (scheduled messages, keyword triggers) to AI voice concierges that answer questions conversationally in real time, 24/7, in multiple languages. The technology addresses the gap between when guests ask questions (concentrated in evenings and late nights) and when hosts are available to respond.
Do guidebooks reduce guest messaging on Airbnb?
Based on this 9-year dataset, no. Despite comprehensive listing descriptions, detailed pre-arrival messages, and physical welcome guides at the property, check-in questions remained the most common topic year after year. The issue isn't availability of information — it's accessibility at the moment of need. At 11pm with luggage, guests message the host rather than searching for the answer in a document.
OnStay is the AI voice concierge built to close this gap.
Guests scan a QR code. Ask their question out loud. Get an answer in under 3 seconds. No app download. 86 languages. $20/month.
Start Free Trial