Forge Holiday Group x Contentsquare

How experimentation and testing helped Forge Holiday Group boost checkout completion by +5.3%

The company

Forge Holiday Group brings together market-leading holiday brands Sykes Holiday Cottages, Forest Holidays, UKCaravans4Hire and Bachcare, representing more than 23,000 cottages across the UK, Ireland and New Zealand. Founded at a kitchen table in 1991, the company now employs 1,000+ people across more than 20 regional brands. 

As it has grown, Forge has committed to making a positive environmental impact as a Certified B-Corp and to using technology to foster an outstanding customer experience (CX). 

Jon Parsons, Customer Tribe Lead at Sykes Holiday Cottages, develops and delivers the brand’s CX strategy. To do that, he turns to Contentsquare for digital experience insights and analysis. 

Key metrics

Reduced payment page exit rate by 6.5%

Increased call-to-action interactions by 7.5%

Boosted funnel completion by 5.3%

The key problem they identified was Forest’s checkout journey—particularly on the last step of the payment page. 

“We'd got people all the way through the journey. They've sat there with their card details, having filled up four forms, and half of them were leaving at that point,” says Jon. “That indicates a whole load of problems to us, as we shouldn't be losing people at that point in the journey.”

The challenge

Sykes Holiday Cottages experienced excellent results with their conversion rate optimization (CRO) program and wanted to help Forest Holidays—one of their partner brands—see improvements, too. 

Forest Holidays, which offers eco-friendly cabins in 30 forest locations across the UK, didn’t yet have a CRO program and had noticed some issues with their website. Jon and his team approached the problem the same way they do at Sykes—by starting with insights from Contentsquare's digital experience analytics.

The solution

Thinking about what had worked for Sykes in the past, the Forest Holidays project team decided to run three A/B tests: 

1. Removing unnecessary content to avoid confusion

The team hypothesized that a large ‘Pay balance in full’ checkbox was causing friction on the payment page. The checkbox was unnecessary because it was the only option for customers and sat directly above the essential credit card info form fields.

The team ran an A/B test with the original page as the control and the page without the checkbox feature as the experimental version. 

Using Customer Journey Analysis, they analyzed the results. Not only had the payment page exit rate fallen, but they uncovered additional insights about their customers.

“It gave us that learning that unnecessary content was getting in the way for our customers,” Jon says. “By removing those elements, we could start to see tangible improvements in the metrics that we’re trying to go after.”

Then, they used zone-based heatmaps to see how removing the ‘Pay balance in full’ section changed customers’ attention to other page elements. 

2. Reordering page elements to get clear on pricing

The team decided to try another modification: moving the total price closer to the main call to action. 

On the original page, two lines stood between the total price and the orange ‘Continue to extras’ button. The team hypothesized that a simple swap would make the overall price clearer to customers, encouraging them to hit the button to continue on their journey.

Jon and his team ran another A/B test and analyzed the results using our platform. 

“We saw changes all the way through the checkout, but we saw a lot of impact on that final page,” says Jon. “That made sense because at that point customers wanted to confirm their price and be clear on what they’re paying.”

Then, the team turned to zone-based heatmaps to investigate how the change affected CTA interactions, starting with a visualization of the percentage of site visitors who clicked at least once in a zone.

Again, our platform was crucial to understanding what customers want and getting closer to proving that for them. “We learned that pricing is really important to our customers and that clarity of price is really important in that context as well,” Jon says. 

3. Adjusting formatting to optimize checkout

The previous two tests had given the team enough insights into their customers to hypothesize one additional change. The team hypothesized that the ‘Balance due’ text, which had been underlined for emphasis, was causing clicks and confusion.

They hoped that by removing the underlining, they’d see an increase in conversions and CTA interactions.

So, they ran another A/B test. Using our platform to analyze the data, they saw a clear increase in funnel completion. Then, they looked at their heatmaps to gauge the change in CTA interactions.  

“We primarily test to learn. For us, learning is absolutely at the top of our list when we're doing any sort of A/B testing or CRO program. We want to learn about our customers, the way they interact with us, and then use that learning to make their experience better.”
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Jon Parsons

Customer Tribe Lead, Sykes Holiday Cottages

The results

Analysis in our Digital Experience Analytic platform enabled Forge Holiday Group to optimize checkout conversions for their Forest Holidays site. With just a few minor adjustments to the UX and three A/B tests, they eased the customer journey and noticed a:

  • -6.5% drop in payment page exit rate
  • +7.5% increase in call-to-interactions at checkout
  • +5.3% rise in checkout funnel completion 

They also learned more about their customers and what they value, such as clarity in pricing and a frictionless checkout flow. This knowledge has helped them produce other testing successes and see exceptional increases in their year-on-year growth in checkout completion.

“The combination of a really strong process and data from Contentsquare has accelerated our volume of successes way beyond our expectations.”
avatar

Jon Parsons

Customer Tribe Lead, Sykes Holiday Cottages

What's next?

Forge Holiday Group will continue to rely on our platform to measure the impact of their testing experiments. In particular, Customer Journey Analysis and Zone-Based Heatmaps will help them improve customer happiness and boost revenue through clicks. 

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