A tour company in Hawaii added two five-star reviews next to its Book Now button. Its conversion rate went from 3.58 percent to 4.98 percent in 30 days, a revenue increase of about 20 percent from one change.
Emma Lourenco, head of sales at CausalFunnel, joined Tourpreneur to walk through conversion rate optimization for tour operator websites. Peter Syme hosted. The session started from a problem most operators recognize: traffic arrives and then almost none of it books. Pete put a number on it. The average tour website converts at two and a half to three percent, so 97 of every 100 visitors leave without booking. Emma’s presentation focused on two CausalFunnel tools, A/B testing and AI-based nudges, and how each one identifies what is costing an operator bookings.
The practical value is a way to treat a website as something to test rather than guess at. Emma explains what an A/B test is, an identical copy of a page with one or two deliberate changes run against the original, and how a behavioral nudge works, a time-limited offer shown only to the 20 to 30 percent of visitors the data marks as undecided. The Q&A covers the structural problems that suppress bookings, including a hidden Book Now button, slow page speed, photos where video converts better, and a neglected Google Business Profile. Pete adds his own method for finding a price ceiling by raising prices until lost business is measurable. CausalFunnel’s pricing is stated directly: a complimentary AI audit, a two-week nudge trial, and month-to-month service that runs from $350 to about $1,200.
Takeaways
- Install a heat map before you change anything on your landing page. [01:46 to 19:54] A heat map records where visitors click and how they move through the page. CausalFunnel ran one for a Hawaii tour company and found heavy activity around the Book Now button with no review or prompt beside it. The data tells you what to test.
- Two five-star reviews placed next to the Book Now button moved one operator from a 3.58 percent conversion rate to 4.98 percent. [01:46 to 19:54] The lift took 30 days to register and produced about a 20 percent revenue increase. The original page and the modified page ran at the same time as an A/B test, so the gain was measured against a control. A small change right at the booking decision beat a full redesign here, on far less effort.
- An A/B test is an identical copy of your page with one or two deliberate changes, measured against the original. [01:46 to 19:54] The change can be structural, such as button size, color, or position, or it can be the copy itself. Both versions run live at once and visitor behavior decides the winner. Without a control version you are guessing, not testing.
- A discount nudge should reach only the visitors who are undecided, not everyone who lands on the site. [01:46 to 19:54] CausalFunnel’s nudge for a Boston helicopter tour offered 17 percent off for booking within 60 minutes, shown to about 20 to 30 percent of visitors whose behavior signaled hesitation. Discounting every visitor cuts margin on people who would have booked at full price. The offer can be a non-price perk. Operators have used an extra hour free or free merchandise.
- Judge a website tool on a trial that runs against your own traffic. [01:46 to 19:54] CausalFunnel starts with a complimentary AI audit that takes about a week and reviews where traffic comes from and how visitors behave. A two-week nudge trial follows, so the operator sees the tool running on their own site before committing. Ask any vendor for the same proof on your own numbers.
- A site with under 1,000 monthly visitors will show you how a testing tool works, but the trial data stays thin. [20:03 to 21:28] CausalFunnel sets no traffic minimum but recommends about 1,000 visitors a month for the two-week trial to produce meaningful results. Below that, the test still runs and you get a feel for it. Operators with low traffic should fix the traffic shortage first through SEO or ads.
- Expect measurable results inside the two-week trial window. [21:28 to 22:50] The audit takes the first week, then the nudge goes live and A/B testing begins immediately. Emma said the trial is built to show before-and-after numbers on visitor count and booking percentage within that window. If a vendor cannot show movement that fast, ask why.
- Test your website constantly, the way the largest travel companies do. [24:44 to 25:41] Pete pointed out that Booking Holdings runs more than 3,000 live tests on an average day. No operator knows for certain what the market wants, so the market has to reveal it through tests. Testing once a year does not work, because buyer behavior keeps shifting.
- Booking friction and confusing layout are the bounce reasons Emma sees most often. [26:35 to 28:28] Emma named booking software errors and unclear site structure as the issues that come up again and again. A visitor who cannot move smoothly from the landing page to a completed booking gives up. Test the booking path itself, not just the homepage.
- Page speed still decides bookings and search rank, and heavy video makes the problem worse. [29:43 to 30:38] Slow load times, 404 errors, and broken links drag down both conversion and organic search position. As operators add more video, load speed gets harder to hold. Check load speed every month.
- Test your site on mobile and desktop separately, because booking behavior splits by device. [30:54 to 31:47] Emma said high-ticket tours near $30,000 tend to book on desktop, while $50 to $100 tours book more on mobile. The data shows which device your buyers actually use to commit. Put your effort into the platform your bookings come from.
- Match the booking path to your tour type instead of copying a standard layout. [32:09 to 33:11] A $50 day tour and a $30,000 multi-day trip need different routes to the booking. Some operators convert better with Book Now on the main landing page, others need visitors to read more first. Let A/B test data set the path for your specific business.
- A Book Now button that visitors have to scroll to find is costing you bookings. [33:22 to 34:29] Emma named low contrast and small size as the two most common Book Now button mistakes. Make the button large, brightly colored, and near the top of the page. Test placement and color and let the numbers decide.
- Test your prices before you blame pricing for weak sales. [34:42 to 35:49] Operators often assume price is the problem when the real issue sits elsewhere on the page. An A/B test can raise or lower a specific tour’s price and measure the effect on bookings. Some tours sell more after a price increase, which only a test reveals.
- Find your price ceiling by raising prices until you can measure lost business. [35:49 to 37:24] Pete’s method is to keep raising prices until the data proves price is costing sales, then set the price just below that point. The revenue earned on the way up far exceeds the sales lost at the ceiling. Most operators have never found their ceiling because they have never tested for it.
- Reviews are the strongest trust signal on a tour website, ahead of every other element. [38:02 to 39:36] Emma placed reviews first, followed by a technically sound site with no broken links or missing photos. Build a steady supply of high-quality reviews and display them where the booking decision happens. Named case studies do the same job for higher-consideration buyers who want a reference they can call.
- Replace static photos on your landing page with video and measure what happens. [40:11 to 42:15] CausalFunnel has A/B tested swapping a landing-page photo for a short video. Emma reported a clear gain in how long visitors stayed and engaged once they landed. Pete added that video has converted well in tour operating since the early 2000s and thousands of operators still do not use it.
- A/B test your website copy, because changing one word can change the booking rate. [44:07 to 44:52] Emma confirmed CausalFunnel tests copy directly against the original wording. Pete made the same point: a single word swap can move bookings even though the page looks almost identical. Treat copy as another variable to test, not a thing you write once.
- Keep your Google Business Profile current, because Google leans on it to rank you locally. [48:02 to 49:44] An outdated or unoptimized Google Business Profile drags down search performance, and Emma confirmed the link to SEO is direct. Operators serving a local market should keep every detail accurate. Operators with global bookings need a different keyword strategy, sometimes targeting hotel searches in their region rather than tour searches.
- Budget $350 to about $1,200 a month for website tools and plan on a multi-year horizon. [49:44 to 52:12] CausalFunnel charges $350 a month for A/B testing and nudges, $500 for SEO work, and $350 for ads management on top of the Google ad budget. Billing is month to month, which lets seasonal operators pause during their off months. Pete’s caution: real growth takes a two to three year view, not a two to three month test.