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How James Fox Finds and Flips Properties in Kent with Property Filter

BRIEF ALT TEXT Professional portrait of James Fox. Business/investor feel. James Fox - Property Filter member, property flip investor in Kent

7 years in property. A Folkestone mixed-use deal found in 5 to 10 minutes on Property Filter - secured by option at £317,000 with a target revaluation of £400,000

James Fox · Kent · Property flip investor · Interviewed Aug 2025

AT A GLANCE

Member

James Fox

Company

JK Property Investment and Development

Background

7 years in property; former HMO portfolio investor in Southeast London, now flipping problem properties in Kent

Location

Kent (previously Southeast London)

Strategy

Property flipping via options and delayed completions (2-4 bed problem properties); long-term: blocks of flats and mixed-use

Deal

Folkestone mixed-use: on market £325,000, option secured at £317,000, target revaluation ~£400,000, projected yield ~10%

PF Feature Used

Price per square foot indicator, price reduction alerts, pipeline management, off-market property saving, postcode market analysis

"You can spend 30 minutes on Property Filter and understand a postcode quite quickly or understand it probably 70 to 80% of what you need in order to put an offer through."

James Fox, property investor, Kent

Results like these are happening every week. See how Property Filter works.

James Fox has been investing in property for seven years. He started with HMOs in Southeast London, moved to Kent, and switched his focus to flipping problem properties using options and delayed completions. He now spends an hour to an hour and a half on Property Filter every day - filtering, hiding, alerting, and running a clean pipeline. His most recent deal took him 5 to 10 minutes to find.

James Fox's challenge before Property Filter

When James Fox relocated from London to Kent, he found himself in a situation that any investor faces when moving into a completely new area - no relationships with local estate agents, no local market knowledge, and no filtering tool more useful than bedrooms, price, and location on the portals. He was starting from scratch in a market he did not yet understand.

Without a way to surface motivated sellers or filter by more than the basics, James was scrolling through Rightmove, Zoopla, and OnTheMarket each evening - three separate portals - and ending up with a high volume of irrelevant results. Estate agents, once contacted, would add to that noise by sending across 50 properties a day that did not match what he was looking for.

"I used to spend a lot of time just like going in bed and you're sitting on the phone before you kind of switch off for the night and then you're scrolling through hoping that some property has sort of fallen out of bed and back on the market."

As a flip investor, James targets problem properties - homes with structural issues, subsidence, damp, tenant complications, or vendors under pressure to sell. Finding those properties without a system to identify the right conditions meant most of the best opportunities would pass him by before he even knew they existed.

How James Fox uses Property Filter to find and filter flip deals

James now spends an hour to an hour and a half on Property Filter every day. His process is consistent: set filters for the right size and price range in each target postcode, hide everything that does not fit his criteria, and set price reduction alerts on properties he likes but cannot move on at the current price. He works through until his lead generators are clean, then makes agent calls with a clear view of the market.

"Spend an hour, hour and a half on Property Filter every day, clean it all up, move some stuff along in the pipeline, make a couple of agent calls, and then it's like you put a system in place."

The tool James identifies as his most valuable is Property Filter's price per square foot indicator. For any listing, he can see how its price per square foot compares to the average for similar properties in that postcode. He targets properties at least 15% below the area average - a discipline that removes subjectivity and gives him a quantifiable basis for every offer before he picks up the phone. As a property sourcing software for flip investors, this is the layer that distinguishes professional deal analysis from guesswork.

James Fox's challenge before Property Filter

When James Fox relocated from London to Kent, he found himself in a situation that any investor faces when moving into a completely new area - no relationships with local estate agents, no local market knowledge, and no filtering tool more useful than bedrooms, price, and location on the portals. He was starting from scratch in a market he did not yet understand.

Without a way to surface motivated sellers or filter by more than the basics, James was scrolling through Rightmove, Zoopla, and OnTheMarket each evening - three separate portals - and ending up with a high volume of irrelevant results. Estate agents, once contacted, would add to that noise by sending across 50 properties a day that did not match what he was looking for.

"I used to spend a lot of time just like going in bed and you're sitting on the phone before you kind of switch off for the night and then you're scrolling through hoping that some property has sort of fallen out of bed and back on the market."

As a flip investor, James targets problem properties - homes with structural issues, subsidence, damp, tenant complications, or vendors under pressure to sell. Finding those properties without a system to identify the right conditions meant most of the best opportunities would pass him by before he even knew they existed.

How James Fox uses Property Filter to find and filter flip deals

James now spends an hour to an hour and a half on Property Filter every day. His process is consistent: set filters for the right size and price range in each target postcode, hide everything that does not fit his criteria, and set price reduction alerts on properties he likes but cannot move on at the current price. He works through until his lead generators are clean, then makes agent calls with a clear view of the market.

"Spend an hour, hour and a half on Property Filter every day, clean it all up, move some stuff along in the pipeline, make a couple of agent calls, and then it's like you put a system in place."

The tool James identifies as his most valuable is Property Filter's price per square foot indicator. For any listing, he can see how its price per square foot compares to the average for similar properties in that postcode. He targets properties at least 15% below the area average - a discipline that removes subjectivity and gives him a quantifiable basis for every offer before he picks up the phone. As a property sourcing software for flip investors, this is the layer that distinguishes professional deal analysis from guesswork.

Feature Spotlight

James's favourite Property Filter feature: price per square foot vs. comparables

Property Filter shows the average price per square foot for comparable properties in any postcode alongside each listing's own figure. James targets properties priced at least 15% below the average for the area - seeing the price differential before he even speaks to an agent. He notes one important caveat: if a property has had a rear extension not recorded on the EPC, the floor area may be understated - so he treats the filter as a strong signal, not an absolute rule.

"I generally look at properties at about 15% below the average price per square foot of comparables and I think that's a great way to analyse a property."

James also uses Property Filter's off-market saving feature. When he is out in an area and spots a house with potential that is not yet listed, he saves it directly to his pipeline and monitors it alongside his active on-market leads - running both tracks in parallel without needing a separate system. It is the same pipeline discipline applied to properties that estate agents do not yet know he is watching.

James's favourite Property Filter feature: price per square foot vs. comparables

Property Filter shows the average price per square foot for comparable properties in any postcode alongside each listing's own figure. James targets properties priced at least 15% below the average for the area - seeing the price differential before he even speaks to an agent. He notes one important caveat: if a property has had a rear extension not recorded on the EPC, the floor area may be understated - so he treats the filter as a strong signal, not an absolute rule.

"I generally look at properties at about 15% below the average price per square foot of comparables and I think that's a great way to analyse a property."

James also uses Property Filter's off-market saving feature. When he is out in an area and spots a house with potential that is not yet listed, he saves it directly to his pipeline and monitors it alongside his active on-market leads - running both tracks in parallel without needing a separate system. It is the same pipeline discipline applied to properties that estate agents do not yet know he is watching.

Property Filter price per square foot comparables indicator for flip investors

The results: a new market understood in 30 minutes and a Folkestone deal found in 5

The results: a new market understood in 30 minutes and a Folkestone deal found in 5

£325K

£325K

£325K

£325K

Asking Price

Folkestone mixed-use

£317K

£317K

£317K

£317K

Option Secured

10% deposit vs. 25%

£400K

£400K

£400K

£400K

Target Value

post-uplift projection

~10%

~10%

~10%

~10%

Projected Yield

James's estimate

5-10

5-10

5-10

5-10

Minutes to Find

using Property Filter

When James moved to Kent, he used Property Filter to get up to speed on an entirely unfamiliar market. Kent has roughly 20 different postcodes. By spending 30 minutes on Property Filter per postcode, James was able to understand average prices by bedroom count, typical time on market, and yield ranges - gaining approximately 70 to 80 per cent of what he needed to start making credible offers. He narrowed his search to four or five postcodes where he now actively sources.

The current deal demonstrates the process directly. A mixed-use property in Folkestone had been listed at £325,000. James found it in 5 to 10 minutes by filtering for lowest-price properties and scanning through the results - nothing unusual, just a listing that was on the market and came up through the filter. He secured an option on it at £317,000, with a 10% deposit rather than a 25% deposit, and is now in the process of uplifting the property towards a target revaluation of around £400,000 with a projected yield of approximately 10%.

For investors who want to understand what a disciplined daily process on property data looks like in practice, James Fox's approach is a direct example - the same market, the same listings, but with a system behind the search. To see how Property Filter works, watch the Property Filter demo.

Watch James Fox's full Property Filter story

James shares the full details of how he structures his daily session on Property Filter, his price per square foot targeting system, and what he would say to investors who are new to an area and still scrolling three portals each evening.

When James moved to Kent, he used Property Filter to get up to speed on an entirely unfamiliar market. Kent has roughly 20 different postcodes. By spending 30 minutes on Property Filter per postcode, James was able to understand average prices by bedroom count, typical time on market, and yield ranges - gaining approximately 70 to 80 per cent of what he needed to start making credible offers. He narrowed his search to four or five postcodes where he now actively sources.

The current deal demonstrates the process directly. A mixed-use property in Folkestone had been listed at £325,000. James found it in 5 to 10 minutes by filtering for lowest-price properties and scanning through the results - nothing unusual, just a listing that was on the market and came up through the filter. He secured an option on it at £317,000, with a 10% deposit rather than a 25% deposit, and is now in the process of uplifting the property towards a target revaluation of around £400,000 with a projected yield of approximately 10%.

For investors who want to understand what a disciplined daily process on property data looks like in practice, James Fox's approach is a direct example - the same market, the same listings, but with a system behind the search. To see how Property Filter works, watch the Property Filter demo.

Watch James Fox's full Property Filter story

James shares the full details of how he structures his daily session on Property Filter, his price per square foot targeting system, and what he would say to investors who are new to an area and still scrolling three portals each evening.

Frequently asked questions

Frequently asked questions

How does Property Filter's price per square foot tool help investors find undervalued properties?

How can Property Filter help an investor get up to speed on a new area quickly?

How do price reduction alerts work in Property Filter?

Can you track off-market properties in Property Filter alongside live listings?

Is Property Filter suited to investors who are new to an area or just starting out in property?

Ready to find your next property deal?

Ready to find your next property deal?

Ready to find your next property deal?

James found a Folkestone option in 5 to 10 minutes by filtering for the right indicators and running a clean pipeline every morning. Property Filter gives you the data layer to make that kind of decision at speed.

James found a Folkestone option in 5 to 10 minutes by filtering for the right indicators and running a clean pipeline every morning. Property Filter gives you the data layer to make that kind of decision at speed.

See how Property Filter works and what it could do for your pipeline.

See how Property Filter works and what it could do for your pipeline.

Watch the demo

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