Bella Rocca, a new ultra-luxury beachfront villa in the Caribbean, was priced on expectation and sitting largely empty. I built a property-level view of its competitive market, and we used it to reset pricing, expand distribution, and turn the villa into a self-sustaining business.
How I work: I find the problem or opportunity, determine what capability is missing, build it, put it to work and measure what happens.
Bella Rocca was a new, eight-bedroom ultra-luxury beachfront villa in the Caribbean. The owners priced it on what they felt it was worth, with premium expectations to match, and the bookings did not come. An early long Christmas and New Year stay, still its single largest booking, was followed by long stretches of empty calendar. The villa was not covering its own costs, and the owners were funding the gap.
No one could say whether the problem was the price, the property, or the market, because there was nothing to measure it against.
The villa was being priced without a clear view of its market. Public rates and calendar information existed across the booking site, but it had never been assembled into a property-level market view the owners could use. Without that view, the rate was set on expectation, and it was too high.
Distribution was the second gap. The villa relied almost entirely on a single agency channel, with little online presence of its own and few relationships with the luxury travel advisors and villa agencies serving affluent travelers.
Make the market visible first, then act on it across pricing, positioning, and distribution. I wrote the plan as a proposal, and the owners accepted it.
Build a property-level view of rates and availability across the competitive market. Reset pricing against real demand rather than instinct. Reduce dependence on a single channel with the villa's own website and premium-agent relationships. And give the owners a forecasting and performance model so the property could be run on data rather than expectation.
While preparing an owner report, I saw that the primary booking site published calendars and nightly rates for the villas it represented. I collected and structured pricing and availability information for 119 villas represented in the primary booking market. The system created a recurring property-level view of rates, availability, and apparent booking activity across the competitive market.
The collection system made the market visible. That intelligence was then used to reset pricing, strengthen positioning, expand distribution, improve the listing and website, and give the owners a clearer view of future performance.
The owners and I used that view to change how the villa was priced, marketed, and managed.
The major moves and the performance that followed. Results are shown as relative figures to protect the owners' confidential financials.
The improvement followed a coordinated change in pricing, positioning, distribution, digital presence, agency relationships, and performance management, all informed by a clearer view of the market.
Bella Rocca's performance improved during a period when the competitive data showed softening demand across parts of the market.
The owners now have a recurring view of the competitive market, a dedicated website, agent relationships and a forecasting model, and the villa is run on that information rather than expectation. The heavy building is done. The systems now support the day-to-day decisions, while my role has shifted to monitoring performance and making adjustments.
AI and modern development tools made it practical to build a market-intelligence capability that would previously have required significantly more time, technical support and investment. But the value did not come from the scraper itself. It came from knowing what information was missing and using that information to change how the property was priced, marketed and managed.
It's worth twenty minutes. No pitch, just a straight read on whether I can help and how.
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