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Real Estate & Leisure
Planning & Strategy
Campaign Management
Outcome Reporting
United Kingdom
2025
Monte Carlo Parks operates a portfolio of holiday parks and homes across the UK, offering both short-term getaways and long-term ownership opportunities in scenic countryside and coastal locations.
Summary
Monte Carlo Parks partnered with NovaStory to improve the performance and visibility of their Google Ads investment. With a portfolio of holiday parks and homes across the UK, their goal was to drive a higher volume of sales-qualified leads and gain clearer insight into how paid media was contributing to actual purchases across their various locations.
Challenge
Despite a strong commitment to digital advertising, Monte Carlo Parks faced challenges with the structure and effectiveness of their existing campaigns. Lead quality varied significantly, and without proper tracking or localisation, it was difficult to determine which enquiries were genuine or likely to convert.
Their previous account setup didn’t reflect the distinct needs of each park location or target buyer profile. As a result, there was a disconnect between interest generated online and actual purchases on the ground. The lack of visibility between media performance and backend sales data also limited their ability to confidently scale spend or optimise based on real commercial outcomes.
Solutions
NovaStory led a full restructure of their Google Ads account, building a locally-driven campaign strategy tailored to the unique profile of each park. We refined targeting, creative, and messaging to speak more directly to buyer intent at a regional level - enabling higher-quality traffic and stronger conversion rates.
To support this, we introduced improved lead tracking and synced campaign performance with backend purchase data, giving the team real-time insight into what was driving results. This tighter integration helped Monte Carlo Parks close the gap between lead generation and confirmed sales - boosting their return on ad spend, improving cost-efficiency, and delivering a more predictable and scalable acquisition model.