In our last study we found that almost 80% of independent hotels in the South West are pricing bank holiday Saturday the same as a normal Saturday. The chains around them are between 13% and 26% higher.
We've had a lot of operators ask us about it since, mostly variations of "yeah, but why?" or "is it really that bad?" So here's what we hear, in roughly the order it comes up. Some of it from our own conversations with hoteliers. Some of it from years in pricing teams at the big chains. None of it is surprising on its own, but laid out together the picture is sharper than any single conversation captures.
1. The PMS or channel manager is clunky
This is the most concrete reason and we hear it constantly. To change one Saturday rate for one room type, you might log into your channel manager, then the Booking.com extranet, then maybe Expedia separately, and update rate-card rules per OTA. Click by click, across multiple room types and rate plans, across multiple dates. We've used a lot of these tools ourselves and it's slow, fiddly, unpleasurable.
There's a paradox in here too. The more expensive, more powerful PMS systems have more features but become even more complicated when you actually try to use them at the operator level. The simpler systems are friendly to use but have restricted features. So you either drown in permutations or hit a wall when you want to do something useful.
If updating prices takes twenty minutes, you do it once a quarter, not once a week. Dynamic pricing only really works if you're looking at your rates weekly.
2. People don't place trust in dynamic pricing software
The next reason comes up almost as often. There's a category of dynamic-pricing software built for small hotels. In some cases it works really well. In a lot of cases, it doesn't.
The horror stories: tools that sell out August inventory at January rates, lag in update cycles so local events from the regional paper slip through, models that hallucinate a demand spike off one high-rate booking and price accordingly. We've heard versions of all of these from operators using everything from PriceLabs and Wheelhouse to the pricing modules built into channel managers like Eviivo and Little Hotelier.
Underneath, most of these tools are rules-based with no human in the loop, which is how they end up getting things wrong in ways nobody notices until the damage is done.
There's also a nuance most of this software can't see. Some hotels want weekday bookings specifically so guests use the restaurant and the bar. The empty room doesn't matter to them, the F&B revenue does. Other hotels don't have a restaurant and are actually happier with an empty room, because they avoid housekeeping costs and keep a more variable cost base. Those are property-specific economics. No rules engine encodes them out of the box.
Often what happens is operators try one of these tools, get burned once, and then leave their rates manually unchanged from that point on.
3. Putting prices up when your bookings are thin takes guts
This is the deepest reason, and probably the one that doesn't get talked about enough. Pushing your prices up for peak periods when you have very few bookings already on the books for the summer, when you might be relying on that revenue to make payroll, takes real courage.
Inside a chain revenue team, this decision is algorithmic and formula-driven, based on historical pricing and occupancy curves that the team has been calibrating for years. They can predict how the booking curve will look with reasonable certainty, they track what the chain's properties down the road are running at, and they have years of data underwriting the confidence.
Indie operators don't have that. They don't easily know what their competitors' occupancies are like, apart from maybe sharing a story or two down the pub. So the decision to push prices up is happening with one hand tied behind your back, and the downside is your room sitting empty when you needed the cash.
4. There's no time to revisit prices once they're set
The pattern we see across most operators is a really common one. You sit down at some point in the spring, set rates for the next few months by room type, maybe with a weekday and weekend element, and then you leave them and watch the bookings come in.
This is a proven way to run a small hotel. With the day-to-day firefighting, the staff rota, the supplier who didn't show up, the guest who needs their room sorted by 3pm, nobody has time to go in and change rates every time a new booking lands.
The flip side is the money being left on the table. When your experience is genuinely great and your ratings are good, you could be charging more, and that extra revenue would go straight into your pocket. You're not capturing it because the system doesn't have a feedback loop telling you to.
5. Pricing is a whole career, and the chains have it
People make a whole career out of pricing and revenue management. It's a real discipline. In hotels especially, where you have multiple room types, channels, seasonality patterns, lengths of stay, it's particularly challenging.
It's the same job in other parts of travel we're all familiar with as customers. Airlines run dynamic pricing teams that are some of the most sophisticated commercial functions in any industry. Trains, taxis, hire cars all do versions of it.
Most indie owners came up through F&B, front-of-house, or bought into a property after a career change. Revenue management wasn't part of the job description. There's no obvious place to go and learn it now either. The chains know this. It's their structural advantage over the indie down the road.
6. People feel at the mercy of the Booking.com algorithm
The last one we hear is more about agency than any specific technical issue. Operators feel that everything about how their property shows up, who sees it, who books it, what it ranks against, sits in the hands of Booking.com and its algorithm. Pricing is one of the few levers they actually have full control over, so wanting to set it well is something people do think about.
The frustration is that the algorithm can feel like it rewards or punishes you in ways that aren't obvious. People freeze rates partly because they're worried about what happens to their search visibility if they push them up. The truth is messier than either "Booking.com always punishes hikes" or "the algorithm doesn't care," but the perceived risk is real and it shapes behaviour.
What this adds up to
Six reasons, give or take, why most indie hotels in the South West aren't pricing dynamically. Some of these are fixable with better software. The rest need a kind of attention that software on its own can't give, which is the gap Otterly was built to fill.
Revenue management has two prongs. Pricing is the one we've worked through here. The other is demand, which we'll cover in a separate post.
If you run an independent hotel and you'd like to know whether any of this is showing up in your own pricing, drop us a line. We'll pull the numbers for your specific town.
Frequently asked
What is dynamic pricing for hotels?
Dynamic pricing means adjusting your rates based on demand rather than holding them static across a season. In practice that's raising prices when you can see a busy weekend coming (a bank holiday, a wedding cluster, a regional event) and softening them when demand is weaker. The big chains do this systematically with revenue teams. Most indies set rates once and leave them.
How much extra revenue can dynamic pricing realistically add?
Academic estimates for top-line revenue uplift range from 5 to 15%, and our own experience often runs higher than that, particularly for hotels coming from flat rate-cards through every peak weekend. The variation comes down to how much room your current rates have to grow into. If you want a rough estimate for your own property, the calculator on our homepage will give you a number based on your size and price points.
What PMS can you work with?
The simple answer is all of them. We don't need a PMS integration to start working with you. Our recommendations come from data we're constantly enriching, what other independents down the road from you are charging, how the chains in your town and nationally are pricing into the next few months, and the algorithms and models we understand from years inside those chains. We layer that against your own listed rates and the local demand signals we track, to calibrate the price for your specific property.
Some of the systems we've worked in: SiteMinder, Little Hotelier, Eviivo, Beds24, Cloudbeds, and a handful of smaller platforms. Independents use a wide variety of tools and we're flexible enough to slot into yours, whichever one it is. We haven't yet found a PMS we couldn't get into and use easily.
How we deliver the recommendations is your call. Some operators want a file at the start of each week that they update themselves in their own PMS. Our preferred way of working is to sit inside the revenue console of your PMS directly, updating rates for you on a day-to-day basis. That maximises the revenue you're collecting without adding to your workload.
For you, it's easy. You don't need to do anything apart from setting us up at the start. We take care of the rest. You get a regular view of where your revenue is, how the prices are evolving, how your occupancy is looking, and how our pricing is performing compared to what you had before. That makes it straightforward to see the value we're creating for you over the first one to three months.
How does Otterly Booked actually set rates?
The key thing is the data layers. It starts with your own PMS data, then we layer on the publicly enriched data sources we're constantly updating. That gets compared against what your local peers are doing, which we calibrate together with you. The area more broadly comes in next, plus what's happening nationally, plus the time of year and the demand patterns we can see. All of those layers pull together into a price recommendation, and we're managing that price daily to maximise your total revenue.
As we adjust rates through the season, we keep you informed of what the prices are doing and how your occupancy is looking. We share regularly so you never feel out of the loop or out of control. The big idea is to be your embedded pricing team, with the kind of resource a Premier Inn or a Travelodge has, made available to a hotel your size.
Why do independents prefer working with people over software?
The first thing we always hear is trust. Software gets it wrong often enough that operators stop trusting it, or end up doing semi-manual work on top of whatever the tool is recommending.
The bigger reason is that hospitality is a people-focused industry. Owners, general managers, and the people actually running the property day-to-day prefer talking through insights and decisions rather than reading an algorithm's output. They want their local knowledge feeding into a quantifiable pricing strategy that actually makes money. That's how the big chains work too. The pricing teams in those chains are constantly being fed structured information from each property, and we want to replicate that for independents.
You know your hotel best, and you know what's going on in your area. We want to take away the admin and the burden of manipulating prices, while still basing decisions on what you can tell us about your property and your patch.
Curious how your own pricing compares to the chains in your town?