
You can't optimize what you don't measure — and you can't measure meaningfully without comparison. An Airbnb competitive analysis report isn't about obsessing over what your neighbors are doing. It's about understanding where you stand in your micro-market so you can identify specific, actionable opportunities to increase revenue.
For Southeast Asian hosts, this matters more than ever. With a 10% year-over-year increase in STR supply across Thailand, Malaysia, and Indonesia through 2025, the competitive landscape is tightening. An Airbnb occupancy and ADR analysis helps you understand whether you're keeping pace, falling behind, or — ideally — pulling ahead.
The foundation of any useful Airbnb competitive analysis report is a well-defined competitive set. This isn't every property in your city — it's the 8-12 listings that a guest considering your property would also look at.
Match on property type. A 3-bedroom villa with a private pool competes with other villa-pool combinations, not studio apartments. In Bali, a rice paddy view villa in Ubud and a beachfront villa in Canggu are in completely different competitive sets despite being 40 minutes apart.
Match on location radius. Keep it tight — typically within 2-3 kilometers of your property. In dense urban markets like Bangkok or Kuala Lumpur, this might be even tighter (1km). In spread-out markets like Koh Samui, it might expand to 5km.
Match on guest capacity. Properties that sleep 2-4 guests compete with each other. A property sleeping 10+ is in a different category entirely — usually competing for group bookings, family reunions, and corporate retreats.
Match on quality tier. Compare your property against listings with similar review scores (within 0.3 points), similar photo quality, and comparable amenities. Benchmarking your mid-range condo against luxury resort villas won't give you useful insights.
Pull calendar availability data for your competitive set across a 90-day window. Count blocked/booked nights versus available nights to estimate their occupancy rates.
Compare your occupancy to the competitive set average and the top 25%. If your occupancy is below the set average, there's a pricing or visibility problem. If you're at average but below the top quartile, you have optimization upside.
Keep in mind that SEA market occupancy varies significantly by sub-market. Through 2025, Thailand showed strong early-year occupancy (January through April) but significant weakness in Q4. Malaysia remained the most consistent market. Indonesia, particularly Bali, showed concerning patterns with post-July bookings falling flat.
Track your ADR month over month and compare it against your competitive set. Segment this analysis by day of week (weekday versus weekend rates vary dramatically in SEA) and by season.
A common finding in Airbnb occupancy and ADR analysis for SEA: hosts underpricing during high-demand periods and overpricing during shoulder season. The result is mediocre RevPAR in both periods. Your competitive analysis should reveal where your pricing diverges from the market.
RevPAN (ADR multiplied by occupancy) is the ultimate performance metric. It balances the trade-off between pricing and occupancy into a single number.
Calculate your RevPAN monthly and compare it to your competitive set's estimated RevPAN. If your RevPAN is below the set's 75th percentile, there's revenue you're not capturing — and your competitive analysis should tell you whether the gap is driven by pricing, occupancy, or both.
Track review scores over the last 12 months — yours and your competitors'. A rising score trajectory gives you pricing power. A declining trajectory means you're losing competitive position even if your current score is still high.
In SEA markets, review scores above 4.8 on Airbnb command significant pricing premiums (typically 15-25% above the competitive set average). The difference between a 4.6 and a 4.8 is often worth more than any pricing optimization.
A competitive analysis report is worthless if it doesn't lead to specific changes. Here's how to translate insights into revenue.
If your occupancy is below the competitive set but ADR is similar: Your listing isn't converting lookers into bookers. Review your photos, title, first three lines of your description, and response time. These are the conversion levers.
If your ADR is below the competitive set but occupancy is higher: You're underpricing. Gradually increase rates by 5-10% and monitor the impact on booking velocity. You can likely charge more without meaningfully impacting occupancy.
If both ADR and occupancy are below the competitive set: There's likely a fundamental issue with your property's value proposition, photos, or reviews. This requires a more comprehensive audit beyond pricing adjustments.
If your RevPAN exceeds the competitive set's 75th percentile: You're performing well. Focus on channel diversification (moving bookings to direct channels to save on commissions) and look for opportunities to add properties in markets where you've proven your operational capability.
Running a manual competitive analysis monthly is time-intensive. Modern property analytics platforms can automate much of this — pulling competitor rate data, estimating occupancy, and benchmarking your performance against the market in real-time.
The goal is to move from a static quarterly report to a dynamic dashboard that alerts you when competitive conditions shift: a new high-quality listing entering your market, a competitor dropping rates aggressively, or demand signals indicating an upcoming booking surge.
For deeper learning on competitive benchmarking and revenue management, events like the DARM conference, STRIVE Melbourne, and STR Bangkok are where the industry's most data-driven operators share their frameworks.