The dynamic pricing playbook for parks and campsites

by Nino Foudraine

Posted on Mar 19, 2025 11:01:21 AM

8 min

Here’s how dynamic pricing works and why you should be using it.

Table of contents

How Maxxton’s dynamic pricing works
Looking back to see ahead
Smart clustering
Solving the black box problem
Dynamic pricing is the smartest way to price your park or campsite
Let your rates do the thinking.

Managing pricing manually for a holiday park is a constant battle. You’re working with spreadsheets, checking occupancy levels, trying to predict demand, and making price changes based on gut instinct. It’s slow, reactive, and never quite as effective as you’d like.

Maxxton’s AI-powered dynamic pricing eliminates the guesswork. Instead of manually tweaking rates, the system automates price adjustments based on real-time data. It considers incoming reservations to optimise pricing without the manual workload.

Dynamic pricing isn’t just a way to maximise revenue or occupancy; it’s what guests already expect. They’re used to fluctuating prices when booking flights, hotels, and taxis, so if your rates stay the same while others shift, they might assume they’re overpaying.

Here’s how dynamic pricing works and why you should be using it.

How Maxxton’s dynamic pricing works

For too long, pricing has been a waiting game. You set rates at the start of the season, watch bookings come in, and then scramble to adjust when things don’t go as expected. Maybe you notice occupancy is lower than planned, so you drop prices, hoping to fill the gaps. Or perhaps demand spikes unexpectedly, but because rates were locked in months ago, you miss out on higher revenue.

Maxxton puts an end to this reactive approach. Instead of setting rates once and hoping for the best, pricing updates happen daily, keeping your rates aligned with real-time demand.

If a date is booking quickly, the system nudges prices higher to maximise revenue.
If a period is slower than expected, it lowers rates strategically to attract bookings.
Changes aren’t arbitrary. The system detects patterns before they impact revenue and adjusts prices accordingly.

This means you’re not reacting when it’s too late. You’re staying ahead of the curve, guaranteeing you capture maximum value from every booking window.

Looking back to see ahead

Not all price changes have the same effect. Some guests book regardless of price, while others disappear at the slightest increase. Understanding who will book at what price point is the difference between optimising revenue and turning guests away.

Maxxton’s system factors this in by tracking price elasticity, a measure of how much a price change affects demand. If a small price drop boosts occupancy significantly, the system knows it’s worth doing. If demand remains strong at a higher price, the system avoids unnecessary discounts.

But pricing strategy isn’t just about current bookings. Maxxton also looks at the bigger picture by analysing:

Past occupancy trends to predict demand patterns.
Seasonality and major events that could impact bookings.
Booking lead times to anticipate when certain accommodation types typically fill up.

Rather than relying on intuition or historical averages, the system constantly refines forecasts based on real-time behaviour, meaning you get smarter pricing decisions with every update. Grouping similar accommodations makes pricing smarter, but strategy still matters. How you approach pricing depends on your park’s unique goals.

Smart clustering

Knowing when demand will rise is just one ball you need to juggle. The next challenge is making sure similar accommodations are priced fairly without losing money or missing opportunities.

However, setting prices for each accommodation manually is overwhelming. You could have dozens, or even hundreds, of units, all with slightly different features and booking patterns. Managing them individually isn’t practical.

That’s why Maxxton developed data-driven scoring models to help users easily group similar accommodations into collections, based on:

Content similarity: Attributes like number of bedrooms, bathrooms, pet-friendliness, and amenities.
Booking behaviour: Metrics such as average length of stay, lead time, and seasonal demand trends.

Instead of micromanaging every unit, you set pricing strategies at a higher level, allowing the system to adjust rates across similar accommodations to reflect real demand.

If demand rises for one unit type, the system anticipates similar units will follow and adjusts pricing across the group accordingly. This prevents you from undercutting yourself on nearly identical accommodations, ensuring consistent revenue growth across the board.

It’s like having a revenue manager constantly running pricing simulations, adjusting rates before you even realise a shift is happening.

Your pricing, your rules

Of course, every holiday park has different pricing goals. Some want to maximise occupancy by keeping prices competitive, while others focus on getting the highest revenue per booking. Some parks just want a predictable, steady flow of reservations.

Maxxton gives you the flexibility to choose a strategy that fits your business. You can set occupancy targets. If you want 80% of units booked for a specific period, Maxxton fine-tunes prices to help you reach that goal, balancing availability with revenue.

Solving the black box problem

One of the biggest frustrations with AI-driven pricing is not knowing why prices change. Guests see different rates, and staff struggle to explain why. But Maxxton isn’t a black box, it provides complete transparency into every pricing decision.

See the logic behind every price adjustment from seasonal demand to occupancy trends.
Compare year-on-year data to track performance and refine your strategy.
Manually override pricing decisions when needed; the system learns from your adjustments.

The more data Maxxton collects, the smarter it gets. It continuously refines its predictions based on your past bookings, seasonality, and market shifts. Over time, pricing becomes more precise, ensuring your rates always align with demand.

It also integrates directly with your Property Management System (PMS), meaning all your pricing and booking data is in one place, ready for analysis.

Real-time occupancy forecasts help you make better operational decisions.
Revenue tracking shows the impact of pricing changes on overall performance.
Reporting lets you drill down into which strategies are working and why.

With Maxxton, you’re not just automating pricing but upgrading your entire revenue strategy.

Dynamic pricing is the smartest way to price your park or campsite

Maxxton’s AI-driven dynamic pricing takes the pressure off setting rates, so you don’t have to spend your time constantly making adjustments. Prices stay in line with demand without you having to check and change them every day.

Guests are used to price changes. They see it when they book flights, hotels, even taxis. They expect the same from holiday parks. If your prices stay the same while others go up and down, people might assume they’re getting a better deal elsewhere, even when not.

With Maxxton, you can:

Fill more units and bring in more revenue without spending hours tweaking prices.
Spot trends before they become a problem, so you're not always reacting too late.
See exactly why prices change, so you and your team are never left guessing.

With Maxxton handling pricing, you have fewer spreadsheets, fewer last-minute rate changes, and fewer headaches trying to balance revenue and occupancy.

Let your rates do the thinking.

With demand shifting by the hour, static pricing just doesn’t cut it. Discover how Maxxton’s dynamic pricing adapts in real time—so your team can focus on guests, not guesswork. Book a demo and start pricing smarter.