Nyama Johnson, founder of the Key Achievers Club, spent years trawling Rightmove and Zoopla with no way to track what she had reviewed or follow leads through a pipeline. When she discovered motivated seller data through Property Filter, her approach changed immediately. Using the for-sale-to-rent filter to find a motivated seller in Teesside, she secured a 3-bed semi-detached at £80,000 against a market value of £115,000 - and then bought a second property from the same seller on vendor finance terms.

Trawling Rightmove With No Way to Track Anything

Before Property Filter, Nyama Johnson faced two problems that many investors recognise. The first was the time it took to review properties across the main portals. "It was just multiple screens and you can't track what you're doing on any one of them," she says. The second problem followed directly from the first: there was no consistent CRM that linked into the searches she was running. "You could save it in your favourites and that's about it." Leads disappeared, properties were reviewed twice, and progress was impossible to measure.

Like most investors at the time, her workflow was Rightmove and Zoopla open in separate tabs, a spreadsheet somewhere, and a vague sense of which properties she had looked at. Without a way to filter for genuine seller motivation before clicking through to listings, the volume of irrelevant results made it hard to find anything worth pursuing.

"It was time consuming. It took too long to get a deal through. It was just hard work."

The Lightbulb Moment

Nyama first heard about Property Filter when she saw Guillaume from the PF team presenting at what she thinks was a PIN meeting. "It was like the lightbulb moment - I need this," she says. She signed up early, making her one of the platform's first members, and got to work almost immediately.

The results came quickly. "I can't remember exactly how quick, but it instantly paid for itself," she says. Within a short period she had closed her first creative deal through Property Filter - a deal that would also lead directly to a second one from the same seller.

How Nyama Uses Property Filter

Nyama's use of Property Filter centres on four capabilities: the for-sale-to-rent filter for identifying creative deal candidates, the motivated seller graphs for reading price history at a glance, the comparables view including withdrawn listings, and the pipeline CRM for managing her deal flow without letting leads go cold.

The For-Sale-to-Rent Filter

Nyama primarily uses the for-sale-to-rent filter to find vendors who may be open to creative structures. This filter surfaces properties that appear to have both a sales listing and a rental history - a signal that the owner is either a landlord looking to exit or a seller who is struggling to find a buyer at full market price. These sellers are often the most open to vendor finance, lease option, or exchange delay completion arrangements.

"I used the filter of for sale to rent, which was obviously for lease options, but I managed to get that deal through creatively as a vendor finance deal," she explains. The filter identified the opportunity - the deal structure came from the negotiation.

Motivated Seller Graphs

Nyama describes Property Filter's motivated seller graphs as one of the features she uses most. These graphs show the full pricing history of a listing - every reduction plotted visually over time - so it is immediately clear how many times a seller has dropped their price and by how much.

"I feel so sorry for these people, even though I've met them - you can see the struggle, and the prices keep reducing and reducing. It puts it in black and white, instead of trying to search through the Rightmoves of the world which don't give you the full history."

This visual pricing history does two things simultaneously. It helps Nyama assess how motivated a seller genuinely is before making contact. And it builds the kind of empathetic understanding of the seller's position that is essential when negotiating creative deal structures - particularly vendor finance, where the conversation requires the seller to trust you with a long-term financial arrangement.

Comparables Including Withdrawn Listings

When assessing deals, Nyama uses Property Filter's comparables view - which includes withdrawn listings as well as completed sales and current rental values. "I like the comparables feature and how easy it is to compare, also with the withdrawn features when you're looking at comparables," she says. For the Middlesbrough deal, the comparables confirmed a market value of £115,000 - giving her the confidence to agree a purchase price of £80,000 and know exactly how far below market value she was buying.

The land registry integration is part of the same workflow. "Last sold price is really easy when it links into land registry - because I use that on everyone," she says. Combining the last sold price with current comparables and rental data gives a complete picture of a property's investment case before she picks up the phone.

Pipeline CRM

Nyama's first tip for new Property Filter users is about how to use the pipeline correctly. "Don't just save them and add them all into the first pipeline funnel screen," she advises. When properties pile up in the first stage without being progressed, the backlog quickly becomes overwhelming - and some properties may have already sold by the time you return to them.

Her approach is to follow each lead through all five pipeline stages deliberately. "Use the pipeline and take action." She also uses the tags feature extensively - as personal bookmarks that let her categorise properties by strategy, by investor relationship, or by deal type. "I've got quite a few but it's really, really good," she says.