Paul Fallon spent 30 years as a marketing director for brands including Costa, Davidoff and Coca-Cola before making property his full-time career. Four months in, he found himself doing what every investor does before they discover Property Filter: 37 browser windows open, six spreadsheets running, and no way of turning all that information into actual insight. When he joined Property Filter, that changed immediately. Within weeks he had tracked a character property in the Peak District through 90 days of subject-to-contract status, received the back-on-market alert the moment it relisted, and secured the deal in 6 days.

Paul Fallon's challenge before Property Filter

Before Property Filter, Paul Fallon's search process looked the same as most investors': Rightmove open in one tab, Zoopla in another, OpenRent in a third. He describes reaching 37 windows at once, alongside six spreadsheets, trying to pull tiny pieces of information from each source and manually consolidate them into something he could act on. For a man who had spent three decades building marketing strategies for some of the world's best-known consumer brands, it was deeply frustrating.

The issue was not a shortage of information. It was the absence of insight. Paul's background had taught him that data only becomes useful once it is transformed into something actionable. The portals were giving him data. Nobody was turning it into insight. Every website he visited put information out there without interpretation, without context, and without the kind of motivation signals that would tell him whether a seller was genuinely ready to move or simply testing the market.

At the time, Paul was four months into his full-time property career. He had a clear strategy: high-end serviced accommodation in Matlock and the wider Peak District, where tourism demand is strong year-round. He knew what he was looking for. He just had no efficient way to find it.

"I found it incredibly frustrating. 37 windows open on your laptop and about six spreadsheets, and you think, I would have more time. It was so inefficient to try and navigate and pick up tiny pieces of information and consolidate them."

How Paul Fallon uses Property Filter to find high-end SA deals

Paul joined Property Filter after a recommendation from a fellow investor. His reaction at the first intro session was immediate: "Where do I sign?" He could see straightaway how much time he would get back, and, more importantly for his strategy, how much clearer his decision-making would become.

He immersed himself in the platform over the following four to six weeks, attending Guillaume's sessions and Rhea's sessions consistently. Within that time he moved from beginner to proficient. His workflow now runs on a set of clearly defined filters built around his strategy, and he checks in for around 30 minutes every other day.

Price per square metre is his primary lens. For Paul, it immediately signals two things at once: the true size of a property and how it sits relative to comparable value in the market. His SA strategy is not about buying below market value. It is about buying the right asset. He needs all double bedrooms, ideally three reception rooms, and a character property that lends itself to the high-end guest experience he wants to deliver. Price per square metre cuts through quickly to tell him whether the numbers make sense before he digs deeper.

From there he layers on the deal calculators and the stress test. He runs the ICR check for every deal, not because buy-to-let is his primary exit, but because he wants to know his fallback is solid before committing. If a property does not pass that check, it does not matter how attractive the SA projections look. He uses the motivated seller signals to identify which properties are worth investing that analytical time in.

The amenities and maps view plays a specific role in Paul's strategy. SA investors live and die by location. He needs to know what is nearby, what services the area offers, and whether the comparables on short lets in that postcode justify his target nightly rate. Property Filter surfaces all of this in one place, rather than requiring him to open yet another tab on an already crowded screen.

"The moment I went on to Property Filter and joined one of the intro sessions, I was like, where do I sign? Because already I could see the amount of time that I would have."