Price for your demand, starting today
Set the rules that fit your week: cheaper weekdays, early-bird savings, group rates, and discounted second activities. wakesys applies the right price automatically at booking.
The rules that actually move revenue are live on every plan. Cable parks on wakesys 5.0 already run time-to-event demand pricing; the same engine is on its way to the new platform.
Rules-based pricing today, algorithmic pricing next
You do not need an algorithm to stop leaving money on the table. Here is what is live now, and where we are headed.
Rules-based pricing
Live in wakesys today
Cheaper weekdays, premium weekends
Early-bird savings for booking ahead
Group rates that kick in at your threshold
Discounted second sessions and activity upgrades
You set the rules, wakesys applies them automatically at booking.
Algorithmic dynamic pricing
On our roadmap
Prices that adjust to real-time demand
Signals like booking pace and weather
Continuous optimization, session by session
A/B tested against a control group
The airline-style engine we are building next.
Is smart pricing right for your park?
Pricing rules help most when demand is uneven. Here is who benefits, and who should fix something else first.
Pricing rules help if...
Weekends sell out while weekdays sit half empty
You want to reward guests who book ahead
Groups and parties are a big share of your bookings
You would rather steer demand than discount across the board
Fix this first if...
You struggle to fill sessions at all
No day is consistently busy
Your real problem is awareness, not pricing
You are brand new and still building an audience
Pricing rules steer demand you already have. If guests are not coming, pricing will not fix that. We offer marketing services for parks that need to grow first.
What true dynamic pricing will weigh
On wakesys 5.0, cable parks already have an engine that reprices a session as its start time approaches, with an audit trail and a guard so prices only ever rise. On the new platform you set the equivalent rules yourself today; the engine is being ported, and we publish no date for it.
Time of booking
Book early, pay less. Last-minute bookers pay a premium. Available today as an early-bird rule.
Historical demand
What happened on this date last year, and last month, will inform the price.
Booking pace
Filling faster than usual? The price will move. Slower? It responds the other way.
Weather forecasts
A sunny weekend lifts aqua-park demand. The engine will factor the forecast in.
Day and season
Weekday vs weekend, summer vs winter, holidays vs regular weeks. Available today as a weekday rule.
Live capacity
Eighty percent full calls for a different price than twenty percent full.
Local events
A school break starting or a nearby festival drives external demand.
Competitor pricing
Where available, what similar venues nearby are charging.
How we will build dynamic pricing right
When we ship the algorithmic engine, it will follow these principles. It is why we have not rushed it.
A/B tested against a baseline
Every dynamic price will run against a control group, so you see what actually works, not just correlation.
Causation, not correlation
Busy days are busy anyway. Control groups will prove that the price is what moved revenue, not the calendar.
Conversion tracked, not just revenue
Higher prices mean nothing if bookings drop. We will watch conversion and revenue together.
Grounded in your data
It will start from your real booking history, not a generic model dropped on top of your park.
How we keep pricing fair
Pricing done wrong hurts trust. Here is how we keep it fair, today with rules and tomorrow with the engine.
Early booking always wins
A guest who books early keeps a better rate than someone booking later. We never punish planners.
Full transparency
Guests see the price for each day up front and choose. No surprises at checkout.
Guest choice
Today is $25, next Saturday is $18. Price-sensitive guests pick the cheaper day. Everyone wins.
No bait and switch
Once a guest starts booking, the price is locked. We never change it mid-checkout. Ever.
Common questions about pricing
What's live today, what's coming, and how it stays fair for guests.
What's the difference between rules-based and dynamic pricing?
Rules-based pricing, sometimes called variable pricing, means you set the prices for specific conditions in advance: weekday, early-bird, group size, second activity. Algorithmic dynamic pricing adjusts prices automatically from real-time demand. wakesys does rules-based pricing today, and algorithmic dynamic pricing is on our roadmap.
What pricing rules can I set today?
Weekday and day-of-week pricing, early-bird or advance-purchase discounts, group and quantity tiers, discounted repeat sessions, and discounted upgrades to a second activity. You set the rule per park and wakesys applies the right price automatically at booking. For example, an $18 ticket can drop to $16 each for a group of 10.
Won't guests dislike pricing that changes?
Not when it only rewards them. Our rules only ever make it cheaper to book early or on a quieter day, the price is shown up front, and it is locked once a guest starts booking. Airlines and hotels have made this normal.
Is this the dynamic pricing airlines use?
Not yet. What is live is rules you set, applied automatically at booking. True algorithmic, demand-based pricing, the airline kind, is what we are building next, and we will ship it with A/B testing so you can prove it works before trusting it.
How do I set it up?
Pricing rules are configured per park for your activities. There is no algorithm to train and nothing to turn on and hope. Book a demo and we will set the rules up with you.
What if I'm not busy enough for this?
Pricing rules steer demand you already have, they do not create it. If your challenge is getting guests in the door, focus on marketing first. We offer marketing services to help you build demand before you optimize it.