MEMBER's SUCCESS STORY

How Catherine Yuen Uses Property Filter to Build a Buy-to-Let Portfolio in Essex

How Catherine Yuen Uses Property Filter to Build a Buy-to-Let Portfolio in Essex

How Catherine Yuen Uses Property Filter to Build a Buy-to-Let Portfolio in Essex

How Catherine Yuen Uses Property Filter to Build a Buy-to-Let Portfolio in Essex

Property Filter logo featuring a blue brick circle icon with three tilted property filter symbols, next to bold blue text reading 'PROPERTY FILTER'
Property Filter logo featuring a blue brick circle icon with three tilted property filter symbols, next to bold blue text reading 'PROPERTY FILTER'
Catherine Yuen, Property Filter member, Essex buy-to-let investor

2 BTL deals completed. £20,000 negotiated off post-survey. Weekly research cut from 20 hours to 15 minutes a day.

Catherine Yuen · Essex · Buy-to-Let, value-add · Interviewed March 2026

AT A GLANCE

Member

Catherine Yuen

Location

Essex

Strategy

Buy-to-Let (BTL), value-add - buying, improving, and holding long-term

Result

2 BTL deals completed; £20,000 negotiated off post-survey; properties now tenanted

PF Feature Used

Ownership and portfolio data, motivation indicators, deal pipeline, direct-to-vendor letters

"Do more viewings, put more offers in, put an offer in for every viewing you do - it's a numbers game."

- Catherine Yuen, to her June 2025 self

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

Catherine Yuen builds organised systems for a living. Payment systems, appointment systems, invoice systems - she helps people bring order to complexity. So when she started building a family buy-to-let portfolio in Essex, she did what any methodical person would do: she built a system. Excel spreadsheets. Notion. A structured process that consumed an entire weekend and still came up empty.

She had the discipline. She had the method. What she was missing was the data. Property Filter changed that - and within six weeks of joining, she had her first deal under offer.

Catherine Yuen's challenge before Property Filter

Before Property Filter, Catherine was relying on a combination of Excel spreadsheets and Notion to manage her deal search. On paper, the setup made sense - she is a systems person, and building a structured process felt like the right approach. In practice, it had the opposite effect.

"It was very fragmented," she says. "I ended up finding myself spending more time on building the system than doing viewings." The process was pulling her in the wrong direction. The platform she needed didn't yet exist in her toolkit - she was spending hours on infrastructure instead of finding motivated sellers and getting offers in.

"I spent the whole weekend looking for a few properties, and I didn't even find the opportunity, and they didn't stack anyway. I missed all the family gatherings and activities by just working, and found it doesn't really work."

The turning point came when Catherine joined Property Filter in June 2025. Her hesitation at first was about complexity - she worried it would take months to learn, and that she would end up using only a fraction of it. The training videos and live support from the Property Filter team resolved that quickly. Within two to three weeks, she had worked through the core functionality. By the end of July, she had found a property that stacked.


How Catherine Yuen uses Property Filter to find buy-to-let deals in Essex

Catherine's workflow now runs on a fraction of the time her previous process required. She uses Property Filter as a property sourcing tool built around one core habit: filter hard, move fast. Anything that does not match her buy-to-let strategy in Essex gets hidden immediately. What remains goes into the deal pipeline with notes, follow-up reminders, and context added as she goes.

"I put a lot of information in there as well. Every time I think of something, I put it in the deal pipeline so I won't forget which property it is referring to." That level of discipline means her 15-30 minutes of daily work is genuinely focused - not scattered across browser tabs and spreadsheet rows.

She also uses Property Filter's direct-to-vendor letter feature, enabling her to reach landlords before properties reach the open market. Combined with the weekly community calls that help her stay focused and accountable, the platform replaced not just a set of tools but an entire workflow.

"It's not just the software, it's the people as well. It's really important, I think."

Catherine Yuen builds organised systems for a living. Payment systems, appointment systems, invoice systems - she helps people bring order to complexity. So when she started building a family buy-to-let portfolio in Essex, she did what any methodical person would do: she built a system. Excel spreadsheets. Notion. A structured process that consumed an entire weekend and still came up empty.

She had the discipline. She had the method. What she was missing was the data. Property Filter changed that - and within six weeks of joining, she had her first deal under offer.

Catherine Yuen's challenge before Property Filter

Before Property Filter, Catherine was relying on a combination of Excel spreadsheets and Notion to manage her deal search. On paper, the setup made sense - she is a systems person, and building a structured process felt like the right approach. In practice, it had the opposite effect.

"It was very fragmented," she says. "I ended up finding myself spending more time on building the system than doing viewings." The process was pulling her in the wrong direction. The platform she needed didn't yet exist in her toolkit - she was spending hours on infrastructure instead of finding motivated sellers and getting offers in.

"I spent the whole weekend looking for a few properties, and I didn't even find the opportunity, and they didn't stack anyway. I missed all the family gatherings and activities by just working, and found it doesn't really work."

The turning point came when Catherine joined Property Filter in June 2025. Her hesitation at first was about complexity - she worried it would take months to learn, and that she would end up using only a fraction of it. The training videos and live support from the Property Filter team resolved that quickly. Within two to three weeks, she had worked through the core functionality. By the end of July, she had found a property that stacked.


How Catherine Yuen uses Property Filter to find buy-to-let deals in Essex

Catherine's workflow now runs on a fraction of the time her previous process required. She uses Property Filter as a property sourcing tool built around one core habit: filter hard, move fast. Anything that does not match her buy-to-let strategy in Essex gets hidden immediately. What remains goes into the deal pipeline with notes, follow-up reminders, and context added as she goes.

"I put a lot of information in there as well. Every time I think of something, I put it in the deal pipeline so I won't forget which property it is referring to." That level of discipline means her 15-30 minutes of daily work is genuinely focused - not scattered across browser tabs and spreadsheet rows.

She also uses Property Filter's direct-to-vendor letter feature, enabling her to reach landlords before properties reach the open market. Combined with the weekly community calls that help her stay focused and accountable, the platform replaced not just a set of tools but an entire workflow.

"It's not just the software, it's the people as well. It's really important, I think."

Feature Spotlight

Catherine Yuen's favourite Property Filter feature: ownership and portfolio data

Catherine's current standout feature is Property Filter's ownership data - the ability to see who owns any property, which company it is registered to, and what other properties that landlord holds across their portfolio.

"I find it really interesting - knowing what other properties the landlord owns, and thinking, that might be something else they might want to sell in the future. It's like knowing something that other people think, oh, how did you know that?"

The practical value is significant. When Catherine is viewing a property, she can see the landlord's full portfolio in Property Filter - identifying other holdings that may come to market. It is an intelligence advantage that agents and competing buyers simply do not have.

Catherine Yuen's favourite Property Filter feature: ownership and portfolio data

Catherine's current standout feature is Property Filter's ownership data - the ability to see who owns any property, which company it is registered to, and what other properties that landlord holds across their portfolio.

"I find it really interesting - knowing what other properties the landlord owns, and thinking, that might be something else they might want to sell in the future. It's like knowing something that other people think, oh, how did you know that?"

The practical value is significant. When Catherine is viewing a property, she can see the landlord's full portfolio in Property Filter - identifying other holdings that may come to market. It is an intelligence advantage that agents and competing buyers simply do not have.

Property Filter ownership data showing landlord portfolio in Essex

2

2

2

2

BTL deals completed via Property Filter

£20k

£20k

£20k

£20k

negotiated off post-survey on key deal

£12k

£12k

£12k

£12k

total refurb cost, property now tenanted

15-30min/day

15-30min/day

15-30min/day

15-30min/day

current active research time on PF

6 wks

6 wks

6 wks

6 wks

from joining to first deal under offer

The results: 2 BTL deals completed and £20,000 negotiated off

Catherine has completed 2 buy-to-let deals in Essex through Property Filter. The deal she is most pleased with tells the full story of what the platform makes possible - and it starts with motivation data, not luck.

The property had been on the market for around five months. Property Filter's data showed it had already been sold once and fallen through, been relisted, and had its asking price reduced from £230,000 to £220,000. The listing photos told the same story as the data: it had been tenanted, then gone empty. A highly motivated seller, visible to anyone who knew where to look. Catherine put in an offer of £197,000. It was accepted straight away.

"After the survey was done, the surveyor flagged that it would have lots of work needing doing - and I negotiated another £20,000 off. At the end, I spent about £12,000 completing everything, and it's now tenanted." The deal also pushed her outside her previous comfort zone. Before Property Filter, she had only looked at newer properties. This was her first value-add deal - and the data gave her the confidence to do it. If you want to see how this kind of buy-to-let strategy works in practice, Catherine's deal is a strong example of what a motivated seller data approach looks like in the field.

Catherine is building her portfolio steadily, focusing only on Essex so she can stay close to every asset. Her research habit now takes 15-30 minutes a day - not a weekend. If you want to build a focused, data-driven buy-to-let portfolio, watch the Property Filter demo to see the tools Catherine uses every day.

Watch Catherine Yuen's full Property Filter story

Hear directly from Catherine how Property Filter replaced her fragmented spreadsheet process - and how she negotiated £20,000 off her first value-add deal in Essex.

The results: 2 BTL deals completed and £20,000 negotiated off

Catherine has completed 2 buy-to-let deals in Essex through Property Filter. The deal she is most pleased with tells the full story of what the platform makes possible - and it starts with motivation data, not luck.

The property had been on the market for around five months. Property Filter's data showed it had already been sold once and fallen through, been relisted, and had its asking price reduced from £230,000 to £220,000. The listing photos told the same story as the data: it had been tenanted, then gone empty. A highly motivated seller, visible to anyone who knew where to look. Catherine put in an offer of £197,000. It was accepted straight away.

"After the survey was done, the surveyor flagged that it would have lots of work needing doing - and I negotiated another £20,000 off. At the end, I spent about £12,000 completing everything, and it's now tenanted." The deal also pushed her outside her previous comfort zone. Before Property Filter, she had only looked at newer properties. This was her first value-add deal - and the data gave her the confidence to do it. If you want to see how this kind of buy-to-let strategy works in practice, Catherine's deal is a strong example of what a motivated seller data approach looks like in the field.

Catherine is building her portfolio steadily, focusing only on Essex so she can stay close to every asset. Her research habit now takes 15-30 minutes a day - not a weekend. If you want to build a focused, data-driven buy-to-let portfolio, watch the Property Filter demo to see the tools Catherine uses every day.

Watch Catherine Yuen's full Property Filter story

Hear directly from Catherine how Property Filter replaced her fragmented spreadsheet process - and how she negotiated £20,000 off her first value-add deal in Essex.

Frequently asked questions

Frequently asked questions

How does Catherine Yuen use Property Filter to find buy-to-let deals in Essex?

Property Filter's ownership data shows you who owns a property, what company it is registered to, and what other properties that landlord holds. For buy-to-let investors like Catherine, this means you can identify portfolio landlords who may be motivated to sell multiple properties - giving you intelligence that agents and competing buyers do not have.

What is the ownership and portfolio data feature in Property Filter?

Property Filter's ownership data shows you who owns a property, what company it is registered to, and what other properties that landlord holds. For buy-to-let investors like Catherine, this means you can identify portfolio landlords who may be motivated to sell multiple properties - giving you intelligence that agents and competing buyers do not have.

How did Catherine Yuen negotiate £20,000 off a property using Property Filter?

Catherine identified a property in Essex that had been on the market for around five months. Property Filter's data showed it had fallen through once, been relisted, and had its asking price drop from £230,000 to £220,000 - and photos confirmed the property was empty. With clear evidence of a motivated seller, she offered £197,000, which was accepted. After the surveyor identified significant work required, she negotiated a further £20,000 reduction.

How much time does Property Filter save compared to using spreadsheets?

Before Property Filter, Catherine was spending more than 20 hours a week on Excel and Notion - and still not finding deals that stacked. With Property Filter, her active research time dropped to 15-30 minutes a day. That is a reduction of over 90% in weekly research time, and she was seeing real results within six weeks of joining.

Is Property Filter suitable for risk-averse, long-term buy-to-let investors?

Yes. Catherine describes herself as risk-averse and focused on sustainable, long-term deals. Property Filter's motivation indicators, ownership data, and deal pipeline gave her the evidence to act on deals with confidence rather than gut feel. She completed 2 BTL deals in Essex while spending only 15-30 minutes of active research time per day.

Ready to find your next property deal?

Ready to find your next property deal?

Ready to find your next property deal?

See the exact tools Catherine Yuen uses to find motivated sellers, analyse deals, and build her Essex buy-to-let portfolio - in 15 minutes a day.

See the exact tools Catherine Yuen uses to find motivated sellers, analyse deals, and build her Essex buy-to-let portfolio - in 15 minutes a day.

See How They Succeeded

See How They Succeeded

See How They Succeeded

See How They Succeeded

Buy-to-Let

Yorkshire

New Investor

£650/month

net income - first BTL secured with fall-through data printed off Property Filter

Used Property Filter's fall-through data to negotiate £10K off and her first West Yorkshire BTL now generates £650/month net.

Read more

Amanda Wilson, Property Filter member, Hipperholme West Yorkshire

Amanda Wilson

West Yorkshire · Buy-to-Let

Buy-to-Let

Yorkshire

New Investor

£650/month

net income - first BTL secured with fall-through data printed off Property Filter

Used Property Filter's fall-through data to negotiate £10K off and her first West Yorkshire BTL now generates £650/month net.

Read more

Amanda Wilson, Property Filter member, Hipperholme West Yorkshire

Amanda Wilson

West Yorkshire · Buy-to-Let

Buy-to-Let

South East

New Investor

£20K negotiated off

2 BTL deals in Essex. Research cut from 20 hours a week to 15 mins a day

Used motivation indicators and ownership data to find a stale Essex listing, offer £197K, and negotiate a further £20K off after survey.

Read more

Catherine Yuen, Property Filter member, Essex buy-to-let investor

Catherine Yuen

Essex · Buy-to-Let

Buy-to-Let

South East

New Investor

£20K negotiated off

2 BTL deals in Essex. Research cut from 20 hours a week to 15 mins a day

Used motivation indicators and ownership data to find a stale Essex listing, offer £197K, and negotiate a further £20K off after survey.

Read more

Catherine Yuen, Property Filter member, Essex buy-to-let investor

Catherine Yuen

Essex · Buy-to-Let

Buy-to-Let

Midlands

Experienced

First in

to motivated seller conversations every time

Uses Property Filter to identify and contact motivated sellers across Solihull and Birmingham before other investors get there.

Read more

Chancelle de Freitas - Property Filter member, property investor in Solihull and Birmingham

Chancelle de Freitas

Solihull & Birmingham · Property Investor

Buy-to-Let

Midlands

Experienced

First in

to motivated seller conversations every time

Uses Property Filter to identify and contact motivated sellers across Solihull and Birmingham before other investors get there.

Read more

Chancelle de Freitas - Property Filter member, property investor in Solihull and Birmingham

Chancelle de Freitas

Solihull & Birmingham · Property Investor