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How Amanda Wilson Used Property Filter to Secure Her First Buy-to-Let Deal in West Yorkshire

Amanda Wilson, Property Filter member, Hipperholme West Yorkshire

West Yorkshire contractor. First BTL. £650 a month net income. All from using the data right in front of her.

Amanda Wilson · Hipperholme, West Yorkshire · Buy-to-Let

AT A GLANCE

Member

Amanda Wilson

Company

Trace Heating Products Ltd

Location

Hipperholme, West Yorkshire

Strategy

Buy-to-Let (BTL)

Result

First BTL secured at £245,000 - generating £650/month net income

PF Feature Used

Fall-through data, Pipeline, Deal Analysis

"Property Filter is just a game changer, and the team are so helpful. I am a novice - it's not something I've ever done before. But yeah, I find it really good."

Amanda Wilson

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

Amanda Wilson had been trying to buy the house next door for years. The original owner would not sell to her. Then the property fell through with three separate buyers. A building company eventually took it on through a part-exchange deal - and still could not shift it. Amanda rang them before it went back on the market, pulled up Property Filter's fall-through history, and walked into the negotiation with evidence.

Two days later they called back and accepted her offer. She paid £245,000 - £10,000 below their asking price. Her first buy-to-let deal now generates £650 a month in net income against a mortgage of £750.

Amanda Wilson's challenge before Property Filter

Before Property Filter, Amanda was searching for properties using Rightmove and platforms like OpenRent. The approach worked up to a point - but it was, as she puts it, "cumbersome." She was restricted on how many sellers she could contact at once, there was no deal analysis built in, and tracking properties meant writing things down on paper. "If you've seen my desk," she says, "I've got bits of paper everywhere. You lose them."

The bigger problem was the absence of data. Without a tool that showed a property's full market history, Amanda had no way of knowing whether a listing had previously failed to sell, how many times it had come back to market, or what that pattern might mean for negotiation. When she eventually sat down across from a building company with a property they could not shift, she had nothing to back her offer with. That changed once she joined Property Filter and found how to find motivated sellers using real market data.

"You're writing it down on bits of paper, and if you've seen my desk, I've got bits of paper everywhere. You lose them, and you think, oh god, where was that property?"

How Amanda Wilson uses Property Filter to find buy-to-let deals

Amanda discovered Property Filter at a Properties and Poppadoms networking event in Huddersfield, where a member of the Property Filter team got up and spoke. She wanted to sign up immediately. Her approach to getting up to speed was methodical: she opened Property Filter on one screen and watched the tutorial videos on the other, working through each feature as she went. "The more you use it, the more user-friendly it becomes," she says. "You get used to it, you get to know what to do with it."

Two features changed how she works. The first is the pipeline. Rather than losing properties between Rightmove sessions, Amanda now saves everything in Property Filter with notes attached. "If I'm doing a bit on Property Filter and my phone goes and I've got to move to my other business - I don't forget what I've just done," she says. The second is the deal analysis calculator. "It's very clear, easy to use, gives you an idea of what figures to put in," she says. For someone running a contracting business alongside a new property strategy, speed and clarity matter. Property Filter as a property sourcing tool removed two of the most common barriers to moving forward quickly.

"It just makes it so much easier. Doing the deal analysis and being able to filter it out - it just saves so much time, with little effort, really."

Amanda Wilson's challenge before Property Filter

Before Property Filter, Amanda was searching for properties using Rightmove and platforms like OpenRent. The approach worked up to a point - but it was, as she puts it, "cumbersome." She was restricted on how many sellers she could contact at once, there was no deal analysis built in, and tracking properties meant writing things down on paper. "If you've seen my desk," she says, "I've got bits of paper everywhere. You lose them."

The bigger problem was the absence of data. Without a tool that showed a property's full market history, Amanda had no way of knowing whether a listing had previously failed to sell, how many times it had come back to market, or what that pattern might mean for negotiation. When she eventually sat down across from a building company with a property they could not shift, she had nothing to back her offer with. That changed once she joined Property Filter and found how to find motivated sellers using real market data.

"You're writing it down on bits of paper, and if you've seen my desk, I've got bits of paper everywhere. You lose them, and you think, oh god, where was that property?"

How Amanda Wilson uses Property Filter to find buy-to-let deals

Amanda discovered Property Filter at a Properties and Poppadoms networking event in Huddersfield, where a member of the Property Filter team got up and spoke. She wanted to sign up immediately. Her approach to getting up to speed was methodical: she opened Property Filter on one screen and watched the tutorial videos on the other, working through each feature as she went. "The more you use it, the more user-friendly it becomes," she says. "You get used to it, you get to know what to do with it."

Two features changed how she works. The first is the pipeline. Rather than losing properties between Rightmove sessions, Amanda now saves everything in Property Filter with notes attached. "If I'm doing a bit on Property Filter and my phone goes and I've got to move to my other business - I don't forget what I've just done," she says. The second is the deal analysis calculator. "It's very clear, easy to use, gives you an idea of what figures to put in," she says. For someone running a contracting business alongside a new property strategy, speed and clarity matter. Property Filter as a property sourcing tool removed two of the most common barriers to moving forward quickly.

"It just makes it so much easier. Doing the deal analysis and being able to filter it out - it just saves so much time, with little effort, really."

Feature Spotlight

Amanda Wilson's favourite Property Filter feature: fall-through data

When Amanda approached the building company about the property next door, she was not guessing. She had printed off Property Filter's record of the property's previous sale attempts - three fall-throughs over the course of a year - and brought it with her to the negotiation. The data showed the property was proving difficult to sell and gave her a concrete, evidence-based reason to justify a lower offer.

"I'd already printed it off from the previous time on Property Filter. I showed it to the building company and said, you know, it's only going to happen again - and they went, okay, we'll just accept your offer."

Amanda Wilson's favourite Property Filter feature: fall-through data

When Amanda approached the building company about the property next door, she was not guessing. She had printed off Property Filter's record of the property's previous sale attempts - three fall-throughs over the course of a year - and brought it with her to the negotiation. The data showed the property was proving difficult to sell and gave her a concrete, evidence-based reason to justify a lower offer.

"I'd already printed it off from the previous time on Property Filter. I showed it to the building company and said, you know, it's only going to happen again - and they went, okay, we'll just accept your offer."

Property Filter fall-through data showing property sale history

£245k

£245k

£245k

£245k

Purchase Price

£10k

£10k

£10k

£10k

Saved vs. Asking Price

£1,400

£1,400

£1,400

£1,400

Monthly Rental Income

£650

£650

£650

£650

Net Monthly Income

5 hrs

5 hrs

5 hrs

5 hrs

Time Saved Per Week

The results: £650 a month from her first BTL

The deal Amanda closed demonstrates exactly what Property Filter's data can do in the right hands. The property had been on the market at £260,000. It had fallen through three times. A couple who moved in at the end of last year decided it was too small and part-exchanged it with a building company, which then needed to sell it. Amanda rang them before it went on the market, told them what she knew about the history, and made her offer.

They came back two days later. She paid £245,000 - £10,000 below the £255,000 they had been asking. The mortgage sits at £750 a month and the property will rent for £1,400 a month, producing £650 in net monthly income. "I managed to reduce the price as well. I got £10,000 lower than the asking price," she says - a result she attributes directly to the evidence she had from Property Filter. She is now actively searching for the next buy-to-let investment deal in the area.

Time savings have been equally significant. Property Filter has freed up around five hours a week that Amanda previously spent on inefficient, fragmented searches across multiple platforms. That time is going back into finding the next deal - and, as she is pleased to report, riding the horses more.

Ready to use data the way Amanda did? Watch the Property Filter demo to see how it works.

Watch Amanda Wilson's full Property Filter story

Hear Amanda explain in her own words how she used Property Filter's data to negotiate her first buy-to-let deal in West Yorkshire - and what she'd tell any new investor starting out.

The results: £650 a month from her first BTL

The deal Amanda closed demonstrates exactly what Property Filter's data can do in the right hands. The property had been on the market at £260,000. It had fallen through three times. A couple who moved in at the end of last year decided it was too small and part-exchanged it with a building company, which then needed to sell it. Amanda rang them before it went on the market, told them what she knew about the history, and made her offer.

They came back two days later. She paid £245,000 - £10,000 below the £255,000 they had been asking. The mortgage sits at £750 a month and the property will rent for £1,400 a month, producing £650 in net monthly income. "I managed to reduce the price as well. I got £10,000 lower than the asking price," she says - a result she attributes directly to the evidence she had from Property Filter. She is now actively searching for the next buy-to-let investment deal in the area.

Time savings have been equally significant. Property Filter has freed up around five hours a week that Amanda previously spent on inefficient, fragmented searches across multiple platforms. That time is going back into finding the next deal - and, as she is pleased to report, riding the horses more.

Ready to use data the way Amanda did? Watch the Property Filter demo to see how it works.

Watch Amanda Wilson's full Property Filter story

Hear Amanda explain in her own words how she used Property Filter's data to negotiate her first buy-to-let deal in West Yorkshire - and what she'd tell any new investor starting out.

Frequently asked questions

Frequently asked questions

How did Amanda Wilson use Property Filter to find a buy-to-let deal in West Yorkshire?

What is the fall-through data feature in Property Filter and how can it help investors?

How long does it take to see results with Property Filter?

What Property Filter features are most useful for buy-to-let investors?

Is Property Filter suitable for first-time property investors?

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Ready to find your next property deal?

Ready to find your next property deal?

Amanda Wilson closed her first buy-to-let by walking into a negotiation armed with data. That data came from Property Filter.

Amanda Wilson closed her first buy-to-let by walking into a negotiation armed with data. That data came from Property Filter.

Whether you are searching for your first deal or building a portfolio, Property Filter gives you the market intelligence to act with confidence - motivated seller indicators, price history, deal analysis, and a pipeline to keep everything in one place.

Whether you are searching for your first deal or building a portfolio, Property Filter gives you the market intelligence to act with confidence - motivated seller indicators, price history, deal analysis, and a pipeline to keep everything in one place.

Watch the demo

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