MEMBER's SUCCESS STORY
How Paul Fallon Used 30 Years of Marketing Instinct and Property Filter Data to Secure His Peak District SA Deal in 6 Days

Tracked for 90 days. Back on market, reduced, and secured in under a week.
Paul Fallon · Matlock, Derbyshire · High-End Serviced Accommodation Investor & Founder, For Real Life Limited · Interviewed February 2026
AT A GLANCE
Member
Paul Fallon
Company
For Real Life Limited
Location
Matlock, Derbyshire (Peak District gateway)
Strategy
High-end serviced accommodation
Result
First SA property acquisition secured; projected income 3 to 4 times that of a standard SA property
PF Feature Used
Back-on-market alerts; price per square metre; deal calculators; ICR stress test; amenities and maps; pipeline
"It's not so much that it's saving time. The benefit for me is quality. It's not the quantity, it's the quality of the decisions that I make."
Paul Fallon
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."
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."
Feature Spotlight
Paul Fallon's most important Property Filter feature: back-on-market alerts
For Paul, the back-on-market alert was the feature that turned months of patient research into a completed deal. He had been watching a character property in the Peak District after it went subject to contract. He had seen it before, liked it, and logged it on the platform. When it came back to market 90 days later, Property Filter notified him immediately.
That notification alone was not the whole story. What made it actionable was everything Paul had already done in preparation. He had his proof of funds ready. He had a Decision in Principle in place. He had his broker lined up. He had done his deal calculator analysis. The back-on-market alert was the trigger, but the preparation was what allowed him to act on it in the same window as every other investor watching the same property.
"This is where it starts to come together. You get the timeliness of it coming in. But you've done all your work before. The trigger is the notification, but actually, you've done all the work."
Paul Fallon's most important Property Filter feature: back-on-market alerts
For Paul, the back-on-market alert was the feature that turned months of patient research into a completed deal. He had been watching a character property in the Peak District after it went subject to contract. He had seen it before, liked it, and logged it on the platform. When it came back to market 90 days later, Property Filter notified him immediately.
That notification alone was not the whole story. What made it actionable was everything Paul had already done in preparation. He had his proof of funds ready. He had a Decision in Principle in place. He had his broker lined up. He had done his deal calculator analysis. The back-on-market alert was the trigger, but the preparation was what allowed him to act on it in the same window as every other investor watching the same property.
"This is where it starts to come together. You get the timeliness of it coming in. But you've done all your work before. The trigger is the notification, but actually, you've done all the work."

90 days
90 days
90 days
90 days
Tracked STC before relisting
6 days
6 days
6 days
6 days
Back on market to agreed
3-4x
3-4x
3-4x
3-4x
Projected income vs standard SA
30 mins
30 mins
30 mins
30 mins
Every 2 days on platform
4 months
4 months
4 months
4 months
Into property career at deal point
The result: first SA acquisition secured, 6 days after the property came back to market
Paul had been tracking a property in the Matlock area for some time. It had gone subject to contract and then, 90 days later, came back to the market. He had it saved on Property Filter, and the notification came through the moment it relisted. He had already assessed it once. He knew it met his criteria: a character property, all double bedrooms, three reception rooms, and a location that suited high-end SA.
Then, on the day he was preparing to submit his first offer, Property Filter showed him a price reduction. The property had not only come back to market, it had been reduced within 6 days of relisting. Two significant motivation signals arriving in rapid succession. Paul recognised the moment and moved quickly. He completed a second viewing on the same day as the price reduction, negotiated, and had the deal agreed. The property was taken off the market 6 days after it had come back on.
The numbers stacked as more than just an SA play. Paul had already run the deal calculator analysis and refreshed it on the back of the reduction. He stress-tested the buy-to-let fallback and confirmed the ICR passed. If the SA strategy had ever needed to change, the asset would still perform. That confidence in the downside was what allowed him to negotiate without hesitation. If you want to see how Property Filter surfaces deals like this in real time, watch the on-demand demo.
The reason Paul has pursued high-end SA rather than standard SA comes down to return quality. A standard property might generate around £900 per month. By focusing on character properties with multiple reception rooms and executing a premium guest experience, Paul projects income three to four times that figure from a single asset. One high-performing property, in his view, is worth considerably more than three or four mediocre ones, both financially and in terms of the time required to manage them. Property Filter, by helping him identify which properties genuinely meet that quality threshold, is the tool that makes that approach scalable.
Watch Paul Fallon's full Property Filter story
Hear Paul describe the deal in his own words, including how 30 years of marketing insight translated directly into a property data strategy, and why he believes the combination of platform and community is what makes Property Filter genuinely different.
The result: first SA acquisition secured, 6 days after the property came back to market
Paul had been tracking a property in the Matlock area for some time. It had gone subject to contract and then, 90 days later, came back to the market. He had it saved on Property Filter, and the notification came through the moment it relisted. He had already assessed it once. He knew it met his criteria: a character property, all double bedrooms, three reception rooms, and a location that suited high-end SA.
Then, on the day he was preparing to submit his first offer, Property Filter showed him a price reduction. The property had not only come back to market, it had been reduced within 6 days of relisting. Two significant motivation signals arriving in rapid succession. Paul recognised the moment and moved quickly. He completed a second viewing on the same day as the price reduction, negotiated, and had the deal agreed. The property was taken off the market 6 days after it had come back on.
The numbers stacked as more than just an SA play. Paul had already run the deal calculator analysis and refreshed it on the back of the reduction. He stress-tested the buy-to-let fallback and confirmed the ICR passed. If the SA strategy had ever needed to change, the asset would still perform. That confidence in the downside was what allowed him to negotiate without hesitation. If you want to see how Property Filter surfaces deals like this in real time, watch the on-demand demo.
The reason Paul has pursued high-end SA rather than standard SA comes down to return quality. A standard property might generate around £900 per month. By focusing on character properties with multiple reception rooms and executing a premium guest experience, Paul projects income three to four times that figure from a single asset. One high-performing property, in his view, is worth considerably more than three or four mediocre ones, both financially and in terms of the time required to manage them. Property Filter, by helping him identify which properties genuinely meet that quality threshold, is the tool that makes that approach scalable.
Watch Paul Fallon's full Property Filter story
Hear Paul describe the deal in his own words, including how 30 years of marketing insight translated directly into a property data strategy, and why he believes the combination of platform and community is what makes Property Filter genuinely different.
Frequently asked questions
Frequently asked questions
How does Property Filter help with serviced accommodation investment?
What is the back-on-market feature on Property Filter?
How can a new property investor use Property Filter effectively?
Does Property Filter work if you are only a few months into property investing?
What is price per square metre and why does Paul Fallon use it?

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Ready to find your next property deal?
Ready to find your next property deal?
Property Filter gives you the back-on-market alerts, price per square metre data, and deal calculators to make the kind of confident, informed decisions that Paul Fallon makes, even if you are just months into your property journey.
Property Filter gives you the back-on-market alerts, price per square metre data, and deal calculators to make the kind of confident, informed decisions that Paul Fallon makes, even if you are just months into your property journey.
Join over 1,800 active members already using Property Filter to source deals across the UK.
Join over 1,800 active members already using Property Filter to source deals across the UK.