MEMBER's SUCCESS STORY

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.
Feature Spotlight

BTL deals completed via Property Filter
negotiated off post-survey on key deal
total refurb cost, property now tenanted
current active research time on PF
from joining to first deal under offer
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.



