Two of the most popular STR pricing tools. Both optimize your calendar. But which one delivers better revenue? Here's an honest, data-driven comparison.
$19.99/listing/mo
Or $199.90/mo for 10 listings
Operators who want granular control and detailed forecasting
Sophisticated rules engine with extensive customization options
Annual cost: $2,399+
1% of gross revenue
Or $25/listing flat rate
Operators who prioritize occupancy and want set-it-forget-it simplicity
Aggressive occupancy optimization with minimal configuration
Annual cost: $5,000 (on $500K revenue)
Here's how PriceLabs and Beyond Pricing stack up across the features that matter most.
| Feature | PriceLabs | Beyond Pricing |
|---|---|---|
| Monthly Cost (10 listings) | $199.90 | $250 or ~$417 (1%) |
| Pricing Model | Per listing or revenue share | Revenue share or flat rate |
| Optimization Goal | Revenue per available night | Occupancy rate |
| Setup Complexity | Medium to High (2-4 hours) | Low (30-60 minutes) |
| Customization Options | Extensive | Limited |
| Market Data Quality | Excellent | Good |
| Minimum Stay Rules | ||
| Last-Minute Discounts | ||
| Seasonal Pricing | ||
| Portfolio Management | Strong | Good |
| Learning Curve | Moderate (dashboard training needed) | Low (minimal configuration) |
| PMS Integrations | 30+ integrations | 25+ integrations |
| Typical Revenue Increase | 15-25% (claimed) | 15-40% (claimed) |
Both PriceLabs and Beyond Pricing optimize your calendar. But they both miss the same critical insight.
It's Friday, March 15th. Two people are looking at your property for the same weekend:
The problem: Both PriceLabs and Beyond Pricing show these fundamentally different guests the exact same price for the same date.
Calendar-based pricing treats March 15th as March 15th. It doesn't see the Manhattan executive with high urgency and ability to pay. It doesn't see the budget traveler price-shopping across 20 tabs.
This is the question calendar pricing can't answer: What is this specific guest worth?
What if pricing didn't optimize your calendar — but instead read each guest individually?
| Feature | PriceLabs | Beyond Pricing | ApexAlpha |
|---|---|---|---|
| Pricing Granularity | By date | By date | By guest |
| Guest Intelligence | |||
| Device-Tier Detection | |||
| Traffic Source Optimization | |||
| Session Behavior Analysis | |||
| Setup Time | 2-4 hours | 30-60 minutes | 2 minutes |
| Base Monthly Cost | $199.90 | $250 or 1% | $0 |
| Documented Revenue Impact | 15-25% portfolio increase | 15-40% portfolio increase | 2.85x uplift per high-intent booking |
A Manhattan executive books a 3-night weekend stay. Browsing from iPhone 16 Pro Max, direct traffic, 10:47 PM, high urgency. This is exactly the guest profile that calendar pricing can't detect.
$1,056/night — optimized for the date, same price for everyone
$3,010/night — reading the actual guest, not the calendar
+$5,862 over 3 nights from one booking that both calendar tools would have mispriced
Neither PriceLabs nor Beyond Pricing can see any of these signals.
Here's our honest take based on your situation.
It's whether you want to optimize your calendar (what both legacy tools do) or read your guests (what behavioral pricing does). One approach treats March 15th as a date. The other treats it as an opportunity to charge the Manhattan executive $3,010 and the budget traveler $1,100 for the exact same property on the exact same night.
Calculate how much revenue calendar-based pricing leaves on the table when it shows the same price to every guest.
"Choosing between PriceLabs and Beyond Pricing is like choosing which horse-drawn carriage is faster. The real question is whether you want to keep riding horses."