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Published by Tegan Elliott on August 25, 2025
Categories
  • showcase
  • Uncategorized
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Ab Testing That Led To A 116% Increase In Clicks

Comedy on Deck Tours is known for mixing laughter with sightseeing, but their marketing wasn’t delivering the same results as their amazing tours. They needed a way to test ideas in a fair, data-driven way without guessing which message would get customers to book. This is where A/B testing came in to save the day.

Background and Problem

Before CausalFunnel, the team had always relied on their instincts, trying out different ads and hoping one would stand out. The problem was that without a proper A/B test, it was impossible to know if one version truly outperformed the other or if the results were just chance. They tried to compare numbers manually, but without the right A/B testing tools, the results were messy, and decisions were often based on gut feeling rather than clear evidence.

Case Study 

At first, Comedy on Deck Tours experimented with their own basic setup for A/B split testing. They rotated different landing pages and social posts, then tracked results by hand. This showed tiny improvements, but it was slow and lacked depth. The marketing team wanted to move faster and be certain about their choices, not just hope the numbers leaned one way. That’s when they came to us here at CausalFunnel. We created two versions of their landing page, one that said check availability and one that said book now.

Test Variant A 

Test Variant B

How CausalFunnel AI Fixed the Problem 

With the CausalFunnel platform, everything is automated so all the heavy lifting is taken off the marketing team. Instead of weeks of waiting for results, our system delivered statistically significant results in days. For Comedy on Deck Tours, this meant they could run multiple A/B testing campaigns at once and instantly see which variant was winning. No more second-guessing or thinking maybe this one is better than the others.

What made the biggest impact was how the platform simplified reporting. Instead of digging through spreadsheets, the marketing team could see clear insights: which headline converted, which image grabbed attention, and why. This kind of transparency turned A/B testing marketing into an ongoing tool for learning rather than a one-off experiment.

Key Takeaway: Over time, the insights compounded. The platform uncovered that humor worked best when paired with urgency “Book today, laugh tomorrow.” That pattern might have gone unnoticed without automation due to the small nuanced details. With each campaign, the results became sharper, and the team’s confidence grew. The difference was night and day compared to their old, manual process.

Easy to read dashboard 

Conclusion

Comedy on Deck Tours discovered that data doesn’t kill creativity, instead it fuels it. By leaning on CausalFunnel’s approach to A/B testing, they replaced uncertainty with clarity. Instead of asking which ad might work, they knew which ad did work. The result: stronger campaigns, better use of budget, and more passengers laughing their way through the city.

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