Dynamic Pricing Comparison
PriceLabs vs Wheelhouse vs Beyond Pricing 2026: Which Dynamic Pricing Tool Wins for STR?
Compare PriceLabs, Wheelhouse, and Beyond Pricing side-by-side. Find the best dynamic pricing tool for short term rental operators in 2026.
Bottom Line: PriceLabs wins for most serious STR operators — deeper customization, better neighborhood-level data, and a pricing model that doesn't punish you for scaling. Wheelhouse is the right pick if you want a simpler setup and don't need granular control. Beyond Pricing has fallen behind on features relative to cost, and we have a hard time recommending it at scale unless you're already locked into their ecosystem.
Our Top Pick
PriceLabs
PriceLabs
Starting Price
$19.99/mo (1 listing)
$19.99/mo (1 listing)
Key Metric
Revenue lift: 10–40% vs flat pricing
Revenue lift: 10–40% vs flat pricing
Affiliate Disclosure
25% recurring commission (PriceLabs)
25% recurring commission (PriceLabs)
🧠 What Is Dynamic Pricing for STR — and Why Does It Matter?
Dynamic pricing tools pull demand signals — local events, seasonality, competitor listing availability, booking lead time, day-of-week patterns — and adjust your nightly rates automatically. Without one, you're either leaving money on the table during peak compression or bleeding occupancy during soft shoulder periods because your rates are set too high. At one listing, you can probably manage pricing manually. At five listings across two markets, it becomes a part-time job. At 10+, it's genuinely impossible to do well without automation. Every operator we've worked with who crossed the 10-property threshold and didn't have a dynamic pricing tool running was losing meaningful revenue — usually without realizing it. For a deeper look at how dynamic pricing fits into a full operator tech stack, see our STR tech stack guide for 2026. ---📊 PriceLabs: Our Experience and Breakdown
PriceLabs has been the default recommendation from our team for the past three years, and 2026 hasn't changed that. When we were managing WiFi deployments at properties across markets like Smoky Mountains, Scottsdale, and the Florida Gulf Coast through SkyYield, the majority of high-performing operators we encountered were running PriceLabs. That's not coincidence.Key Features
**Hyper-Local Market Dashboards:** PriceLabs' Market Dashboard pulls comp set data at the neighborhood level, not just city-wide. For operators in tourist-heavy markets with wildly different demand zones within the same city (think downtown vs. beachfront in the same metro), this matters enormously. **Customization Depth:** You can set minimum prices by season, day of week, and booking window. You can apply percentage-based adjustments for specific date ranges, orphan day logic to fill gaps, and last-minute discount curves. Operators who invest time in configuration see better results — but the defaults are also solid for newer users. **Portfolio Analytics:** The portfolio view shows RevPAR, occupancy, and pricing recommendations across all your listings in one dashboard. At 10+ properties, this is the tool you actually use to identify underperformers. **PMS Integrations:** PriceLabs connects with all major PMS platforms — Hostaway, Guesty, Hospitable, OwnerRez, and more. Sync is reliable and updates push within minutes. If you want a broader look at PMS options, our best PMS for multi-channel STR operators comparison covers the full landscape. **Grouping and Bulk Rules:** You can group listings by market, property type, or any custom tag and apply rule sets across the group. This is critical at scale — editing 40 listings individually is a tax on your time that compounds. Tip: PriceLabs' "Hyper Local Pulse" feature (available in Market Dashboard) is one of the most underused tools in the platform. It shows forward-looking demand signals for your specific zip code rather than metro-wide averages. Set a 15-minute calendar block weekly to review it.
PriceLabs Pricing
| Plan | Monthly Cost | Notes |
|---|---|---|
| 1 Listing | $19.99/mo | Includes full feature access |
| 2–4 Listings | $15.99–$18.99/listing/mo | Tiered per listing |
| 10 Listings | ~$12.99/listing/mo | Volume discounts apply |
| 20+ Listings | ~$9.99/listing/mo | Custom pricing available |
| Market Dashboard Add-on | $10–$20/market/mo | Optional comp analysis tool |
Pros
- Best-in-class customization depth
- Neighborhood-level market data
- Flat per-listing pricing (not % of revenue)
- Strong PMS integration library
- Portfolio-level analytics dashboard
- Active product development and frequent feature releases
Cons
- Learning curve is real — expect 3–5 hours to configure well
- Market Dashboard is an additional cost
- UI can feel dense for single-property operators
🎯 Wheelhouse: Our Experience and Breakdown
Wheelhouse has matured significantly. It's not the bare-bones tool it was in 2022. The 2025–2026 version has real depth on the algorithm side and a noticeably cleaner interface than PriceLabs. For operators who want strong pricing without spending hours in configuration, Wheelhouse is a legitimate option. During SkyYield deployments, we encountered Wheelhouse most often among operators with 1–5 properties who had come from self-managing and wanted a low-friction setup. Satisfaction was generally high, but the operators who scaled past 10 properties often eventually moved to PriceLabs for the additional control.Key Features
**Clean Onboarding:** Wheelhouse's guided setup gets you to a working pricing strategy in under 30 minutes. You set your base price, define your aggression level (conservative to aggressive), and the algorithm handles the rest. For operators who don't want to think deeply about pricing mechanics, this is genuinely appealing. **Strategy Recommendations:** Wheelhouse suggests a pricing strategy based on your market and property type, which is useful for operators who don't have a strong prior on how to price. The recommendations are generally sound. **Portfolio Management:** Wheelhouse has improved its portfolio view substantially. You can manage multiple listings, see performance metrics, and apply strategy templates across properties. It's less granular than PriceLabs but functional. **Booking Pace Analysis:** One feature Wheelhouse does particularly well is surfacing booking pace signals — how your bookings are coming in relative to historical pace. This helps you catch soft periods before they fully materialize.Wheelhouse Pricing
| Plan | Cost Model | Notes |
|---|---|---|
| Basic | Free | Limited data and customization |
| Pro (Flat Rate) | $19.99/listing/mo | Full feature access, flat fee |
| Pro (% of Revenue) | 1% of gross revenue | Higher cost at scale — watch this |
Warning: If you're using Wheelhouse's percentage-of-revenue model, run the math at your actual booking volume before committing. On a property doing $60,000/year in gross revenue, 1% is $600/year — vs. $240/year on PriceLabs' flat rate at scale. The gap compounds quickly across a portfolio.
Pros
- Fastest onboarding of the three tools
- Clean, intuitive interface
- Free tier available for experimentation
- Booking pace analysis is genuinely useful
- Good for operators who want smart defaults without deep configuration
Cons
- Less granular control than PriceLabs
- % of revenue pricing model is expensive at scale
- Market data is less neighborhood-specific
- Portfolio tools less mature for 10+ properties
📉 Beyond Pricing: Our Experience and Breakdown
Beyond Pricing (now often branded just as "Beyond") was an early leader in STR dynamic pricing and still has a substantial user base. Our honest assessment: the product has not kept pace with PriceLabs on features, and the pricing model creates real cost pressure at scale. We used Beyond across several properties during a period when it was considered the industry standard. The algorithm was solid, the integrations worked, and the team was responsive. But over the past 18–24 months, the feature gap versus PriceLabs has grown wider, not narrower, and the percentage-of-revenue cost model is a significant headwind.Key Features
**Revenue Manager Feature:** Beyond's top-tier product includes a Revenue Manager layer with deeper analytics and comp set monitoring. It's a meaningful upgrade from the base product but adds cost. **Signal Detection:** Beyond's algorithm is well-regarded for picking up demand signals from events, holidays, and local triggers. It performs well in markets with clear event-driven demand spikes. **Channel Distribution Integration:** Beyond has historically had strong direct integrations with Airbnb, Vrbo, and major PMS platforms. Sync reliability is generally good.Beyond Pricing Pricing
| Plan | Cost Model | Notes |
|---|---|---|
| Core | 1% of gross revenue | Base dynamic pricing |
| Pro / Revenue Manager | 1.25–1.5% of gross revenue | Advanced analytics, comp tools |
Pros
- Well-established with a mature user community
- Strong event-based demand detection
- Good PMS and channel integrations
- Revenue Manager tier offers useful advanced analytics
Cons
- Percentage-of-revenue pricing is expensive at scale
- Feature development has lagged PriceLabs significantly
- Less customization depth for experienced operators
- Cost disadvantage compounds with every booking
⚖️ Head-to-Head: PriceLabs vs Wheelhouse vs Beyond Pricing
| Feature | PriceLabs | Wheelhouse | Beyond Pricing |
|---|---|---|---|
| Pricing Model | Flat per listing | Flat or % of revenue | % of revenue |
| Cost at 10 Listings | ~$130/mo | ~$200/mo (flat) or variable | ~$415/mo (at avg. $5k/mo/listing) |
| Customization Depth | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ |
| Ease of Setup | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
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