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We spent almost $500k on ads. Now you get the playbook.

We run Charleston Aqua Park ourselves and have spent almost $500,000 on Meta and Google ads. Now our team runs those campaigns for your park, from aqua parks to trampoline parks.

5.4x
Return on ad spend, 2026[1]
~$500k
Spent on ads
Book a DemoSee pricing

The problem

"I had no idea you were here!"

We've talked to park operators who've been running for 20, 30, even 40 years. They still regularly hear this, from people living just a few kilometers away.

This visibility gap costs parks revenue every day. If people don't know you exist, they won't come.

Our results

Not theory. Our actual numbers.

At our own park, we don't guess. We track everything.

$79,782
Ad spend, 2026 season[1]
$430,138
Tracked revenue[1]
5.4x
Return on ad spend[1]

Charleston Aqua Park, 2026 season: $79,782 spent on Meta and Google ads (Meta to 24 September, Google to 7 August) against $430,138 in attributed bookings, a 5.4x return measured in the ad platforms' own attribution, not estimated.[1]

The ad platforms trace about half of our 2026 park revenue back to our campaigns.[1][2]

Results depend on your location, what you offer and your prices.

How it works

Meta and Google pick the audience now.

Manual targeting like "women aged 35-45 within 100km" is outdated. Today, Meta and Google use machine learning to find customers. But AI needs data to learn.

This is where wakesys gives you an advantage. We share your booking data with Meta and Google (hashed and privacy-compliant), so the AI learns from every purchase who your customers really are.

What the AI does with your data

  • Retarget existing customers who haven't visited in a while
  • Find lookalike audiences: new customers similar to your best visitors
  • Automatically optimize ad delivery based on who actually books
  • Learn from every single booking to improve over time

Your booking data becomes your competitive advantage

wakesys
Your booking data
Hashed and secure
Privacy-compliant
Meta & Google AI
Learns who books
Better ads
More bookings
Full service

You run your park. We run your ads.

Everything handled. No marketing degree required.

Meta (Facebook & Instagram) campaign management

Google Ads search and display campaigns

Creative strategy and ad copy development

Audience building from your wakesys data

Conversion tracking and attribution setup

Monthly reporting and continuous optimization

Seasonal campaign adjustments

A/B testing of creatives and audiences

Pricing

What the service costs

A setup fee, then a share of the revenue the campaigns bring in.

One-time

$2,500setup fee
  • Meta & Google account setup
  • Pixel & conversion tracking
  • Initial campaign creation
  • First set of ad creatives
  • Audience building from your data

Ongoing

15%of tracked revenue

Only charged on net revenue (excluding VAT) that Meta and Google track as coming directly from our campaigns.

Example ROI:

$10k ad spend → $50k revenue. After ad spend & commission: You keep $32,500

Note: Ad spend is separate and paid directly to Meta/Google. We recommend starting with $5,000-10,000/month during peak season.

Frequently asked questions

Everything you need to know about Meta ads for attractions and Google ads for water parks.

We charge a one-time setup fee of $2,500 which covers Meta & Google account setup, pixel & conversion tracking, initial campaign creation, and audience building from your wakesys data. Ongoing, we charge 15% of tracked revenue (excluding VAT) that comes directly from our campaigns. Ad spend is separate and paid directly to Meta/Google.
At our own park, Charleston Aqua Park, the 2026 season returned 5.4x on ad spend: $79,782 on Meta and Google ads against $430,138 in bookings the ad platforms attribute to them. Results vary based on your location, offerings, and pricing, but this is a real benchmark from actual park operations.
Unlike old-school targeting ("women aged 35-45 within 100km"), modern marketing uses machine learning. We share your wakesys booking data with Meta and Google (hashed and privacy-compliant), so the AI learns from every purchase who your real customers are. It retargets past visitors, finds lookalike audiences, and optimizes delivery automatically.
No other booking platform in our industry runs their own park. They don't understand what data to share with ad platforms, they don't know why bookings drop when it rains, and they don't get how seasonality affects campaigns. We've spent almost $500,000 learning what actually works.
You'll see initial data within the first week. The AI needs 2-4 weeks of learning to optimize effectively. By month two, campaigns are typically hitting their stride. We recommend starting before your peak season to have optimized campaigns when it matters most.

Talk to us about your campaigns

Get set up before your peak season starts. Let's discuss whether online marketing makes sense for your park.

Book a DemoSee pricing