By Joseph Cooper, Short Term Coops | Updated 2026 | 17 min read
Short Term Coops is a boutique short-term rental property management company serving cabin owners in Gatlinburg, Pigeon Forge, and Sevierville, Tennessee.
Quick Answer
Dynamic pricing is the practice of adjusting nightly rental rates daily based on real-time demand signals: booking pace, comparable property availability, local events, lead time, day-of-week patterns, and seasonality. For Smoky Mountains Airbnb cabins, dynamic pricing typically increases annual gross revenue by 20 to 30 percent versus manual or static pricing on the same cabin. Most cabin owners and many property managers in Gatlinburg, Pigeon Forge, and Sevierville still price their cabins manually or with minimal automation, which typically captures only 70 to 80 percent of the cabin’s potential annual revenue. A cabin grossing $120,000 per year under manual pricing typically grosses $145,000 to $160,000 per year under proper dynamic pricing. That is $25,000 to $40,000 of recurring annual income left on the table by owners who do not know what they are missing. Short Term Coops uses PriceLabs across our entire portfolio with daily rate optimization, custom comp sets, and event-aware pricing strategies.
I will tell you something most Smoky Mountains property managers will not. The single most expensive mistake a cabin owner makes is not which manager they choose. It is letting that manager price their cabin manually.
I have looked at hundreds of cabin P&Ls over the last several years. The pattern is consistent. Cabins priced manually or with basic seasonal adjustments capture roughly 70 to 80 percent of the revenue they could be earning. The remaining 20 to 30 percent shows up as gap nights that never booked, weekends sold $100 below what the market would have paid, and last-minute openings that closed at base rates instead of premium rates. This is not just our anecdotal observation. A 2025 study by Your.Rentals analyzed 541 properties and confirmed significant revenue improvements from dynamic pricing across the dataset.
On a $120,000 gross cabin, that is $25,000 to $40,000 of annual revenue that simply does not exist on the owner’s statement at year-end. The math compounds across years of ownership. A cabin under manual pricing for five years has lost six figures of pure revenue compared to the same cabin under proper dynamic pricing.
This article explains how dynamic pricing actually works, why most Smoky Mountains managers do it badly or not at all, and what a cabin owner should expect from a property manager who takes pricing seriously.
Why Pricing Is the Biggest Single Revenue Lever in Cabin Management
Of the four things a manager controls (pricing, guest response, listing optimization, and guest experience), pricing is the one that directly determines how much revenue a booked night generates. The other three drive booking volume. Pricing determines the value of each booking.
A cabin in Gatlinburg with 75 percent annual occupancy earning $200 per night grosses $54,750 annually (365 nights × 75% × $200). The same cabin at 75 percent occupancy earning $260 per night grosses $71,175 (365 nights × 75% × $260). Same number of nights booked. Same operational effort. $16,425 more in annual revenue.
That gap between $200 and $260 per night does not come from better marketing or faster response times. It comes from pricing each individual night closer to its actual market value. Some nights in the Smoky Mountains are worth $150. Some are worth $600. A static-priced cabin charges roughly the same rate for both. A dynamically-priced cabin captures the difference.
This is why pricing is the single most expensive variable to get wrong, and the single most rewarding variable to get right.
How Dynamic Pricing Actually Works
Dynamic pricing is not just “raising prices on weekends.” That is what most managers call dynamic pricing when what they actually mean is calendar-based seasonal pricing. The two are fundamentally different.
True dynamic pricing for Smoky Mountains cabins uses an algorithm that updates nightly rates daily based on a combination of signals. Here is what those signals actually are and how they get weighted.
Signal 1: Booking pace
The algorithm tracks how quickly nights are booking across your specific calendar and across comparable properties. If nights 30 days out are booking faster than usual, prices for those nights rise automatically. If nights 30 days out are booking slower than usual, prices drop to stimulate bookings before the window closes.
This is the single most important dynamic pricing signal because it responds to actual market demand rather than predicted demand. A static price set in January based on “what feels right for July” is guessing. A dynamic price set in June based on actual booking pace through May is responding to data.
Signal 2: Comparable property availability
Your cabin is competing against a specific set of comparable cabins. Same bedroom count, similar amenities, same geographic submarket. The algorithm tracks how many of those comparable cabins are available on each specific night. When availability tightens (your comps are booking up), your price rises. When availability loosens (comps are dropping prices to fill), your price adjusts to stay competitive.
Setting the right comp set is one of the most important pricing decisions a manager makes and one of the most common places managers get it wrong. A cabin in Sevierville should not be benchmarked against luxury cabins in Gatlinburg. A 3-bedroom cabin should not be benchmarked against 5-bedroom cabins.
Signal 3: Local events
Smoky Mountains demand is heavily event-driven. UT football home games, Dollywood event weekends, Christmas in the Smokies, Fall Rod Run, A Mountain Quiltfest, the Wilderness Wildlife Week, and a dozen other annual events each create localized demand spikes that move optimal pricing by 30 to 100 percent above base rates.
A pricing algorithm with an event calendar built in captures these premiums automatically. A static-pricing manager either misses them entirely or applies a generic “weekend bump” that significantly undersells the event premium.
On big-event weekends in Pigeon Forge, dynamic pricing typically captures $200 to $400 per night premiums over static-priced cabins. That premium is pure revenue lift on nights that would have booked anyway at lower rates.
Signal 4: Lead time and gap nights
Different lead times warrant different prices. A booking inquiry 90 days in advance is from a planner who has options and is comparing prices carefully. A booking inquiry 4 days in advance is from someone who decided last minute and has fewer options. The algorithm prices these differently because the elasticity is different.
Gap nights, the single empty nights wedged between two booked stays, deserve special treatment. They are often impossible to fill at normal rates because guests rarely book a single night. A great pricing strategy uses orphan night logic to either heavily discount that gap night to capture some revenue or block it out as a turnover buffer that protects the surrounding stays.
Signal 5: Day-of-week patterns
In the Smoky Mountains, Friday and Saturday nights are not just “weekend pricing.” They are demanded differently than Sunday through Thursday. A typical optimal price ratio looks something like: Sunday to Thursday at base, Friday at 1.3x base, Saturday at 1.5x base. But that ratio shifts by season and by event calendar.
A static-pricing manager applies one weekend multiplier all year. A dynamic-pricing system adjusts the multiplier based on actual booking patterns.
Signal 6: Seasonality multipliers
Smoky Mountains demand is highly seasonal. October fall foliage is peak. June and July summer family travel is peak. December Christmas in the Smokies is peak. January through early March is shoulder. Mid-March through April is transitional. May is rising. August is transitional. November is mixed.
A dynamic pricing system applies seasonality multipliers to base rates and then adjusts them based on the other five signals layered on top. A static-pricing manager often just picks a “summer rate” and a “winter rate” and calls it done.
Why Most Smoky Mountains Property Managers Do Not Use Dynamic Pricing Well
Given how much money dynamic pricing leaves on the table when done badly, you would think every property manager in the Smokies would be running sophisticated pricing operations. They are not. Here is why.
Reason 1: It is operationally hard. Dynamic pricing requires ongoing analysis, calibration, and adjustment. The algorithm gets you 80 percent of the way there, but the remaining 20 percent comes from human judgment about which events to weight, which comp sets to use, and when to override the algorithm. Most managers do not have anyone on staff who understands pricing at this level.
Reason 2: The tools cost money. PriceLabs, Wheelhouse, and Beyond Pricing all charge per listing per month. For a portfolio manager, this is a real line item. Many managers either skip the tools entirely or use the free tier of basic Airbnb Smart Pricing, which is significantly worse than purpose-built dynamic pricing platforms.
Reason 3: Owners do not always understand pricing changes. Owners who see their nightly rate drop from $250 to $180 sometimes panic, even when the lower price is exactly right for that specific night to fill the calendar. Managers who do not want to have that conversation default to higher static prices that leave the cabin unbooked but feel safer to the owner.
Reason 4: The industry standard is low. When most competing cabins in your market are priced statically, the median price is artificially low. Managers compete on rate without realizing they are all undercharging together. A dynamic pricing approach breaks this pattern but requires confidence that the higher prices will book.
The result is that across the Smoky Mountains, the typical cabin owner is paying their manager 20 to 30 percent of gross revenue for a service that captures only 70 to 80 percent of potential revenue. The owner pays the fee. The lost revenue stays lost. The manager moves on to the next property.
How Short Term Coops Approaches Dynamic Pricing
We use PriceLabs across every cabin in the Short Term Coops portfolio. PriceLabs is not the only good dynamic pricing platform on the market (Wheelhouse and Beyond Pricing are both legitimate alternatives), but it is the one we have built our pricing operation around for specific reasons.
Why we chose PriceLabs:
PriceLabs is currently used to price over 600,000 short-term rental listings globally, making it the most widely adopted dynamic pricing platform in the industry. We chose it for four specific reasons beyond market share:
- Comp set customization. PriceLabs allows manual comp set selection and adjustment for each property. We can build a custom comp set for each cabin based on actual market positioning rather than accepting an algorithm’s default
- Market data depth. PriceLabs pulls data from AirDNA and other sources to give us occupancy, ADR, and booking pace data for our comp sets, not just for our own cabins
- Override flexibility. We can override algorithm pricing for specific dates or date ranges when we have information the algorithm does not have (a local event, a known booking, a property-specific issue)
- Reporting transparency. Our owners can see how their cabin is priced day-by-day with full visibility into the logic
How we use PriceLabs day-to-day:
We do not just set up PriceLabs and walk away. The algorithm runs daily, but our team reviews pricing patterns regularly to catch edge cases and refine inputs. Specifically:
- Comp set audits every 60 days. Markets change. New cabins enter the comp set. Older cabins exit. We refresh comp sets to keep them current
- Event calendar updates monthly. We maintain a Smoky Mountains event calendar that gets layered into the pricing algorithm so big-demand weekends do not get underpriced
- Manual overrides for known scenarios. If we know a property has a quality issue (a renovation, a temporary amenity outage), we override prices to manage expectations. If we have inside information about local demand (a corporate booking pipeline, a major event addition), we override to capture it
- Gap night strategy review. We review orphan and gap nights weekly to either discount them aggressively to fill or block them out as turnover buffers
The result is that our cabins consistently outperform comparable static-priced cabins by 20 to 30 percent on annual gross revenue. That is the documented before-and-after for cabins we have onboarded from previous static-pricing managers.
What a Cabin Owner Should Ask Their Current Manager About Pricing
If you are an owner trying to figure out whether your current manager is pricing your cabin well, here are the questions to ask. The answers will tell you very quickly whether your manager understands pricing or is winging it.
- What dynamic pricing platform do you use, and what does it cost? A specific tool (PriceLabs, Wheelhouse, Beyond Pricing) and a real cost figure. If they say “we use Airbnb Smart Pricing,” that is not dynamic pricing in any meaningful sense. Smart Pricing is significantly less sophisticated than purpose-built platforms.
- How often do my nightly rates update? Daily is the minimum standard. If they say “weekly” or “monthly,” they are not actually doing dynamic pricing.
- What is my comp set, and when did you last review it? They should be able to name specific properties or property types in the comp set and tell you when the comp set was last refreshed. If they cannot, they are using whatever the algorithm defaulted to and never looked.
- How do you handle local events like UT football weekends or Dollywood event nights? They should describe an event calendar integration or manual override process. If they say “the algorithm handles it automatically,” they are not adjusting for specific local events the way a sophisticated pricing operation would.
- What is my cabin’s RevPAR versus the Smoky Mountains market average? RevPAR (revenue per available night) is the single most important pricing performance metric. A great manager tracks it monthly and benchmarks against market data. A bad manager has never calculated it.
- Can you show me a sample week of pricing decisions and explain why each night is priced as it is? This is the killer question. A great pricing operation can walk you through specific pricing decisions. A bad one cannot.
If your current manager fumbles three or more of these questions, you are paying full management fees for a sub-dynamic pricing operation. That is the problem. Not the market. Not the season. The pricing operation itself.
How Dynamic Pricing Performance Connects to Owner Revenue Long Term
Dynamic pricing is not a one-time gain. It compounds over the years you own the cabin. Here is what the typical owner trajectory looks like:
Year 1 under dynamic pricing: 20 to 30 percent revenue lift over the prior static-pricing year. This is the biggest single jump because the manager makes the biggest structural changes: dynamic pricing implementation, listing re-optimization, photography updates, comp set establishment.
Year 2: Additional 5 to 10 percent lift over Year 1. By this point the algorithm has more historical data to optimize against, the event calendar is fully tuned, and the comp set has been refined.
Year 3 and beyond: Marginal annual lifts of 2 to 5 percent as the operation gets continuously refined. The big absolute gains are in Years 1 and 2, but the cumulative compounding effect is what makes the long-term economics so favorable.
A $120,000 gross cabin under static pricing for five years grosses roughly $600,000 to $660,000 total (accounting for modest annual growth). The same cabin under proper dynamic pricing for those five years typically grosses $750,000 to $880,000 total. The difference, $150,000 to $250,000 of additional revenue over five years, is not a marketing number. It is documented in the actual P&Ls of cabins we have onboarded from static-pricing managers.
For owners who pair dynamic pricing with the bonus depreciation tax strategy available to short-term rental investors, the combined effect on after-tax cash flow can be transformative. Higher gross revenue meets aggressive year-one tax deductions, and the cabin investment economics change fundamentally.
Short Term Coops: Dynamic Pricing as a Core Operational Discipline
Short Term Coops was founded by two cabin owners who fired three property managers before deciding to do it themselves. One of the most consistent frustrations across those three previous managers was pricing. Every one of them claimed to use “dynamic pricing.” None of them actually did, in any meaningful sense of the term.
That experience is the reason pricing is one of the four core operational disciplines we built the Short Term Coops platform around. Every cabin we manage runs on PriceLabs with custom comp sets, monthly event calendar updates, weekly gap night reviews, and ongoing manual overrides where they make sense. Our cabins consistently outperform comparable static-priced cabins by 20 to 30 percent on annual gross revenue. Our owners average a 30.7 percent revenue lift versus their previous manager (14 owners, same cabin, first 12 months with us, range 14 to 59 percent) across our portfolio.
If you are a Smoky Mountains cabin owner and you are not confident your current manager is pricing your cabin to its potential, we would be glad to look at your numbers and tell you honestly what we see. Most of the time, the gap between what your cabin is earning and what it could be earning is bigger than the entire management fee you are paying.
That is the part most owners do not realize until they see the numbers.
For more on how your manager determines your overall revenue performance, see our companion article on Pigeon Forge Airbnb management and revenue performance. For owners considering switching managers, see How to Switch Property Managers in the Smoky Mountains.
Frequently Asked Questions
What is dynamic pricing for Airbnb cabins?
Dynamic pricing is the practice of adjusting nightly rental rates daily based on real-time demand signals including booking pace, comparable property availability, local events, lead time, day-of-week patterns, and seasonality. It is different from static pricing, where the same nightly rate is charged regardless of demand, and from basic seasonal pricing, where rates change only by month or season. True dynamic pricing for Smoky Mountains cabins typically increases annual revenue by 20 to 30 percent versus static pricing on the same cabin.
How much does dynamic pricing actually increase Smoky Mountains cabin revenue?
On a typical Smoky Mountains cabin grossing $120,000 per year under manual pricing, proper dynamic pricing typically increases gross revenue to $145,000 to $160,000 per year. That is $25,000 to $40,000 of recurring annual revenue lift. Over a five-year ownership period, the cumulative difference is often $150,000 to $250,000.
What dynamic pricing platform does Short Term Coops use?
Short Term Coops uses PriceLabs across our entire portfolio. We chose PriceLabs because it offers comp set customization, market data depth, override flexibility, and reporting transparency. Wheelhouse and Beyond Pricing are also legitimate dynamic pricing platforms. Airbnb Smart Pricing is significantly less sophisticated than these purpose-built platforms and is not considered true dynamic pricing.
How often should my cabin’s nightly rates update under dynamic pricing?
Daily, at minimum. Proper dynamic pricing platforms recalculate optimal rates every 24 hours based on updated booking pace, competitor availability, and demand signals. If your manager updates rates weekly, monthly, or only seasonally, they are not doing dynamic pricing in any meaningful sense.
What is a comp set and why does it matter for dynamic pricing?
A comp set is the group of comparable properties your cabin is being benchmarked against for pricing decisions. The comp set should include cabins with similar bedroom count, similar amenities, similar geographic positioning, and similar guest demographics. A cabin in Sevierville should not be benchmarked against luxury Gatlinburg cabins. A 3-bedroom cabin should not be benchmarked against 5-bedroom cabins. Setting the right comp set is one of the most important pricing decisions a manager makes and one of the most common places managers get it wrong.
Does dynamic pricing work during the slow season in the Smoky Mountains?
Yes, and it matters more during slow seasons than peak seasons. During peak demand periods (October fall foliage, summer family travel, Christmas in the Smokies), most well-positioned cabins book at strong rates regardless of pricing sophistication. During shoulder seasons (January, early March, November), dynamic pricing aggressively adjusts rates to stimulate bookings that would otherwise sit empty. The revenue lift from dynamic pricing is typically larger during shoulder seasons than peak seasons.
Can I do dynamic pricing myself if I self-manage my cabin?
Yes, in theory. PriceLabs offers self-service subscriptions for individual owners and the platform itself does most of the algorithmic work. However, the human judgment layer (comp set tuning, event calendar maintenance, override decisions, gap night strategy) requires ongoing attention measured in hours per week. Most owners who try running dynamic pricing alongside self-managing the rest of the cabin operation eventually find the cumulative time commitment overwhelming. The actual algorithm is the easy part. Running a serious pricing operation across all the other operational demands of self-management is harder than it looks. For a full breakdown of the self-management tradeoff, see our article on self-managing vs hiring a property manager.
How does dynamic pricing affect my guest ratings?
Properly executed dynamic pricing has no negative effect on guest ratings because rates are based on what guests are willing to pay in real time. Guests who book at $400 per night during Christmas in the Smokies and guests who book at $180 per night in mid-January are both paying market rates and both expect a great experience. Bad dynamic pricing (pricing too aggressively above market, or applying inconsistent logic) can hurt ratings because guests feel the rate was not justified by what they received. Good dynamic pricing matches rates to market demand.
Should I be worried if my cabin’s nightly rate drops below my base price?
Not necessarily. The algorithm drops prices below base when booking pace is slow and the goal is to capture revenue on nights that would otherwise stay empty. A booked night at $180 generates $180 of revenue. An empty night at the $230 base price generates $0. The math almost always favors the discounted booking. That said, your manager should be able to explain when and why prices drop, and the price floor should be set thoughtfully so the cabin never books at uneconomic rates.
Ready to Find Out What Your Cabin Could Be Earning?
If your Smoky Mountains cabin is being priced manually or with basic seasonal adjustments, you are likely leaving significant revenue on the table every year. We would be glad to look at your numbers and tell you honestly what we see.
📞 Call us directly: +1 865-333-3093
Short Term Coops is a boutique short-term rental property management company serving cabin owners in Gatlinburg, Pigeon Forge, and Sevierville, Tennessee. Phone: +1 865-333-3093. Email: support@shorttermcoops.com. Website: shorttermcoops.com.
