Hotel Comp Set Selection: Choosing the 4–8 Competitors That Actually Matter

Most hotels let their rate shopper auto-populate their comp set with 'the 10 nearest hotels' and never revisit it. The result: your market intelligence is noisy because two of those ten are competing for a completely different guest segment, three are outside your category, and one is a 300-room convention property whose rate signals tell you nothing about your 60-room indie's demand.

A good comp set isn't about coverage. It's about signal.

01The four-attribute framework

1. Same category

Economy, midscale, upscale, upper-upscale, or luxury. STR has a specific classification; your rate shopper uses it. Stay within your category. A midscale indie's rate doesn't correlate with an upscale boutique's rate, even when they're two blocks apart.

2. Within 5 miles

Distance matters because it's a proxy for 'would the guest book either one'. 5 miles is the working threshold for most urban and suburban markets. For resort markets, 15–20 miles. For highway-exit properties, 2 miles — guest choice is much more narrowly geography-driven.

3. Similar room count (±30%)

A 60-room property's rate behaviour correlates with other 42–78 room properties. A 200-room property's rate is dominated by group business and banquet revenue logic, which doesn't apply to a 60-room indie. Keep room count within ±30%.

4. Competing for the same guest segment

This is the hard one. 'Guest segment' is inferred from: review content (business traveller vs leisure vs family vs couple), amenity mix (fitness / spa / pool / meeting space), direct-channel messaging, and social-media audience. Two hotels of the same category and distance can be competing for different guests.

02Why 4–8 and not more

Below 4, the average of any given night's rates is dominated by one or two outliers (a property running a closeout sale, or one that forgot to re-open rates after a group). Above 8, you introduce too many marginal comparators that dilute the signal.

4–8 is the sweet spot: enough to average out noise, few enough that each one genuinely matters.

03Auditing your current comp set

1. 1Export your current comp set from your rate shopper. Write down each property's category, distance, room count, and primary guest segment.
2. 2For each, score it 0–3 on each of the four attributes (3 = exact match, 0 = clear mismatch).
3. 3Total score range: 0–12. Anything scoring below 7 should be replaced.
4. 4Identify candidate replacements within your 5-mile radius using OTA search results for a generic date range — this is a rough list of 'hotels the market actually compares you to'.

04How to change your comp set without disruption

Most rate shoppers let you change the comp set in-app. The change takes 24–48 hours to propagate through historical data (Lighthouse rebuilds the dashboards overnight; Duetto applies on next cron). During that window, your comp-set metrics will look slightly off — do the swap on a low-sensitivity day, not on a Friday before a big weekend.

05Comp-set data sources — what OTAs don't give you

Neither Expedia nor Booking.com provides competitor rate data. This is by design — it would create an arbitrage the OTAs can't control. Every rate-shopper tool scrapes data from public sources (OTA search pages, brand.com for chain hotels, aggregators). The accuracy varies:

• Lighthouse (formerly OTA Insight): best-in-class accuracy, highest price, strongest EU coverage.
• RateGain: strong US + APAC coverage, integrates with many PMSs natively.
• Duetto: RMS + rate-shopper combined, best if you need both in one tool.
• SiteMinder Insights: good if you're already on SiteMinder's channel manager; weaker standalone.