MEMBER SUCCESS STORY

How Viktorija Sulciene Uses Property Filter Comparables and Deal History to Source Buy-to-Let and Development Deals in Northampton

How Viktorija Sulciene Uses Property Filter Comparables and Deal History to Source Buy-to-Let and Development Deals in Northampton

How Viktorija Sulciene Uses Property Filter Comparables and Deal History to Source Buy-to-Let and Development Deals in Northampton

How Viktorija Sulciene Uses Property Filter Comparables and Deal History to Source Buy-to-Let and Development Deals in Northampton

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'
Viktorija Sulciene, Property Filter member, buy-to-let investor, Northampton

Northampton, Midlands. 30 to 60 minutes a day. Five direct deals, a £4M deal supported, £328 monthly cash flow on her latest buy-to-let.

Viktorija Sulciene · Northampton, Midlands · Buy-to-Let Investor & Head of Investment and Development, The Estate Agents

AT A GLANCE

Member

Viktorija Sulciene

Company

The Estate Agents (personal investment portfolio via DVS Properties)

Location

Northampton, Midlands

Strategy

Buy-to-let (personal); development and commercial deals (client-facing)

Result

Approx. 5 direct deals on platform; largest PF-supported deal approx. £4M; £328/month cash flow on current assisted living deal

PF Feature Used

Comparables; property fall-through history; pipeline; deal calculators

"The platform itself, about maybe five deals, but the platform supported me to get other deals through and the biggest one is around £4 million."

Viktorija Sulciene

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

Viktorija Sulciene runs the investment and development side of The Estate Agents in Northampton. By day she works in data analytics; in the hours outside of that, she is building her own buy-to-let portfolio and sourcing larger development deals for clients. She joined Property Filter around 18 months ago through Aspire Property Group, hesitated briefly on the cost, and immediately knew she had made the right call. "I regret that I didn't see it sooner," she says. The platform has since supported approximately five deals in her personal portfolio and helped facilitate a client deal worth around £4 million.

Viktorija Sulciene's challenge before Property Filter

Before Property Filter, sourcing deals and running comparables meant navigating multiple portals in sequence. Listings on one site, sold prices on another, rental comparables somewhere else, and then the process of manually pulling it all together into something coherent enough to present to a client or act on personally. Viktorija estimates it took at least 4 hours to do what she now completes in 30 to 60 minutes each morning.

That calculation matters more than it might first appear. Viktorija carries a full-time analytics role alongside her property work. Four hours of daily research is not a workflow; it is a second job. Cutting that to under an hour is not a marginal efficiency gain. It is what makes the whole enterprise sustainable. She now uses Property Filter every single morning without exception.

The information problem she faced was not a shortage of data. It was the absence of a single place to make sense of it. For someone who approaches everything analytically, the idea of consolidating research from six different tabs into a spreadsheet was, as she puts it, "a nightmare." A more coherent tool was not a convenience. It was a necessity. For investors building a serious buy-to-let strategy alongside other professional commitments, that kind of friction adds up quickly.

"I use Property Filter maybe half an hour to an hour a day every morning. Without that, I think at least 4 hours. To have everything in one place, without the system it would be a nightmare."

How Viktorija Sulciene uses Property Filter to source deals and present to clients

Viktorija uses Property Filter for two distinct purposes: her own buy-to-let portfolio, and the investment and development work she leads at The Estate Agents on behalf of clients. The platform supports both, and in each context, the use case is different enough to highlight just how much range it covers.

For client-facing work, comparables are the primary feature. When Viktorija presents a feasibility report to a development or investment client, she needs to show not just what a property might be worth, but what comparable properties in the same area have actually achieved, within specific criteria, in a defined time window. Without Property Filter, that data would need to be sourced, verified, and consolidated from multiple places before a single slide could be built. With it, the research that underpins the presentation is ready in a fraction of the time, and it is far more precise. As someone with a data analytics background, Viktorija holds her own outputs to a high standard. Estimates are not good enough; she needs numbers she can defend.

The second feature she relies on is property history: how many times a property has been listed, how many times it has gone under offer, and how many times it has fallen through. For most investors, this information is buried across different time periods on different portals, if it surfaces at all. Property Filter brings it into one view. Viktorija uses this not just to assess individual properties, but to understand the vendors behind them. When she is working with a seller who needs support navigating the process, knowing the full history of a property is part of knowing whether the situation is one worth getting involved in.

"Comparables, first and foremost. And the other one I think is seeing the history of the property, what has happened, how many times it has fallen through. We're concentrating on the vendors that need our help."

Viktorija Sulciene runs the investment and development side of The Estate Agents in Northampton. By day she works in data analytics; in the hours outside of that, she is building her own buy-to-let portfolio and sourcing larger development deals for clients. She joined Property Filter around 18 months ago through Aspire Property Group, hesitated briefly on the cost, and immediately knew she had made the right call. "I regret that I didn't see it sooner," she says. The platform has since supported approximately five deals in her personal portfolio and helped facilitate a client deal worth around £4 million.

Viktorija Sulciene's challenge before Property Filter

Before Property Filter, sourcing deals and running comparables meant navigating multiple portals in sequence. Listings on one site, sold prices on another, rental comparables somewhere else, and then the process of manually pulling it all together into something coherent enough to present to a client or act on personally. Viktorija estimates it took at least 4 hours to do what she now completes in 30 to 60 minutes each morning.

That calculation matters more than it might first appear. Viktorija carries a full-time analytics role alongside her property work. Four hours of daily research is not a workflow; it is a second job. Cutting that to under an hour is not a marginal efficiency gain. It is what makes the whole enterprise sustainable. She now uses Property Filter every single morning without exception.

The information problem she faced was not a shortage of data. It was the absence of a single place to make sense of it. For someone who approaches everything analytically, the idea of consolidating research from six different tabs into a spreadsheet was, as she puts it, "a nightmare." A more coherent tool was not a convenience. It was a necessity. For investors building a serious buy-to-let strategy alongside other professional commitments, that kind of friction adds up quickly.

"I use Property Filter maybe half an hour to an hour a day every morning. Without that, I think at least 4 hours. To have everything in one place, without the system it would be a nightmare."

How Viktorija Sulciene uses Property Filter to source deals and present to clients

Viktorija uses Property Filter for two distinct purposes: her own buy-to-let portfolio, and the investment and development work she leads at The Estate Agents on behalf of clients. The platform supports both, and in each context, the use case is different enough to highlight just how much range it covers.

For client-facing work, comparables are the primary feature. When Viktorija presents a feasibility report to a development or investment client, she needs to show not just what a property might be worth, but what comparable properties in the same area have actually achieved, within specific criteria, in a defined time window. Without Property Filter, that data would need to be sourced, verified, and consolidated from multiple places before a single slide could be built. With it, the research that underpins the presentation is ready in a fraction of the time, and it is far more precise. As someone with a data analytics background, Viktorija holds her own outputs to a high standard. Estimates are not good enough; she needs numbers she can defend.

The second feature she relies on is property history: how many times a property has been listed, how many times it has gone under offer, and how many times it has fallen through. For most investors, this information is buried across different time periods on different portals, if it surfaces at all. Property Filter brings it into one view. Viktorija uses this not just to assess individual properties, but to understand the vendors behind them. When she is working with a seller who needs support navigating the process, knowing the full history of a property is part of knowing whether the situation is one worth getting involved in.

"Comparables, first and foremost. And the other one I think is seeing the history of the property, what has happened, how many times it has fallen through. We're concentrating on the vendors that need our help."

Feature Spotlight

Viktorija Sulciene's most important Property Filter feature: property fall-through history

Around 30% of property deals in the UK fall through before completion. For most buyers, a fall-through is a frustrating setback. For Viktorija, it is an opportunity and a signal worth tracking systematically.

Property Filter shows the full listing history of any property, including how many times it has been listed, reduced, taken off the market, and relisted. When a deal falls through, the seller is almost always still motivated, often more so than when the original offer was accepted. Knowing that history gives Viktorija the context to decide whether re-engaging with the agent is worthwhile, and it gives her a credible reason to reach out rather than approaching cold.

Her approach is to add deals to her pipeline even when she has no immediate intention to buy, and then monitor how they evolve. A deal she assessed three months ago may look very different after two price reductions and a failed sale. That long-term view, supported by the platform's pipeline and history tools, is what turns 30% fall-through data from a discouraging statistic into a sourcing advantage.

"A lot of deals fall through unfortunately, and we know it's about 30% that fall through. So going back and contacting the agents again to show your interest. Whether you're planning to buy a deal or not, definitely add it to your pipeline and understand how it works."

Viktorija Sulciene's most important Property Filter feature: property fall-through history

Around 30% of property deals in the UK fall through before completion. For most buyers, a fall-through is a frustrating setback. For Viktorija, it is an opportunity and a signal worth tracking systematically.

Property Filter shows the full listing history of any property, including how many times it has been listed, reduced, taken off the market, and relisted. When a deal falls through, the seller is almost always still motivated, often more so than when the original offer was accepted. Knowing that history gives Viktorija the context to decide whether re-engaging with the agent is worthwhile, and it gives her a credible reason to reach out rather than approaching cold.

Her approach is to add deals to her pipeline even when she has no immediate intention to buy, and then monitor how they evolve. A deal she assessed three months ago may look very different after two price reductions and a failed sale. That long-term view, supported by the platform's pipeline and history tools, is what turns 30% fall-through data from a discouraging statistic into a sourcing advantage.

"A lot of deals fall through unfortunately, and we know it's about 30% that fall through. So going back and contacting the agents again to show your interest. Whether you're planning to buy a deal or not, definitely add it to your pipeline and understand how it works."

Property Filter property history view showing listing dates, price changes, and fall-through records

30-60 mins

30-60 mins

30-60 mins

30-60 mins

Daily research time with PF

4 hrs

4 hrs

4 hrs

4 hrs

Estimated time without PF

~£4M

~£4M

~£4M

~£4M

Largest PF-supported deal

£328/mo

£328/mo

£328/mo

£328/mo

Cash flow on assisted living deal

30%

30%

30%

30%

Of deals fall through - use the pipeline

The result: a 2-bed bungalow, £328 monthly cash flow, and a £4M deal she helped close

Viktorija is direct about what the platform has delivered. On the platform directly: approximately five deals completed in her personal portfolio. Beyond that, Property Filter has supported her through larger client-facing work too. The biggest single deal it has helped facilitate came in at around £4 million. The platform, she says, was instrumental in getting it over the line.

One example from her current pipeline: a two-bedroom bungalow in Northampton, purchasing at £170,000. If negotiated to £160,000, the numbers improve further. The strategy is assisted living, a growing area of demand in Northampton and one that suits the property type well. Rental income at £1,200 per month. Monthly cash flow of £328 on a five-year hands-off contract. No active management required: the contract is signed, the income arrives, and the strategy runs itself.

The maths, she points out, scales cleanly. Multiply that model across ten properties and the financial case for leaving full-time employment becomes difficult to argue with. That is, for Viktorija, the long-term goal: build the portfolio, achieve financial independence, and eventually move somewhere warmer. If you want to see how Property Filter surfaces deals like this, watch the on-demand demo.

For investors who are not yet ready to buy, Viktorija's advice is the same regardless: use the platform every day for the first week. Analyse deals. Follow them. Add them to your pipeline. Watch how they change over time. When a motivated seller situation arises, the investors who already understand the deal history and the local comparables are the ones in a position to move quickly. That preparation is what separates those who close from those who catch up.

Watch Viktorija Sulciene's full Property Filter story

Hear Viktorija describe her workflow in her own words, including how her data analytics background shaped her approach to property research, why comparables and deal history are the features she relies on most, and what she would tell any investor still hesitating about whether to join.

The result: a 2-bed bungalow, £328 monthly cash flow, and a £4M deal she helped close

Viktorija is direct about what the platform has delivered. On the platform directly: approximately five deals completed in her personal portfolio. Beyond that, Property Filter has supported her through larger client-facing work too. The biggest single deal it has helped facilitate came in at around £4 million. The platform, she says, was instrumental in getting it over the line.

One example from her current pipeline: a two-bedroom bungalow in Northampton, purchasing at £170,000. If negotiated to £160,000, the numbers improve further. The strategy is assisted living, a growing area of demand in Northampton and one that suits the property type well. Rental income at £1,200 per month. Monthly cash flow of £328 on a five-year hands-off contract. No active management required: the contract is signed, the income arrives, and the strategy runs itself.

The maths, she points out, scales cleanly. Multiply that model across ten properties and the financial case for leaving full-time employment becomes difficult to argue with. That is, for Viktorija, the long-term goal: build the portfolio, achieve financial independence, and eventually move somewhere warmer. If you want to see how Property Filter surfaces deals like this, watch the on-demand demo.

For investors who are not yet ready to buy, Viktorija's advice is the same regardless: use the platform every day for the first week. Analyse deals. Follow them. Add them to your pipeline. Watch how they change over time. When a motivated seller situation arises, the investors who already understand the deal history and the local comparables are the ones in a position to move quickly. That preparation is what separates those who close from those who catch up.

Watch Viktorija Sulciene's full Property Filter story

Hear Viktorija describe her workflow in her own words, including how her data analytics background shaped her approach to property research, why comparables and deal history are the features she relies on most, and what she would tell any investor still hesitating about whether to join.

Frequently asked questions

Frequently asked questions

What is Property Filter and how does it reduce research time for property investors?

Comparables are data points showing what similar properties in the same area have sold or rented for within a defined time period. For Viktorija, who presents feasibility reports to development and investment clients at The Estate Agents, the ability to pull comparables within specific criteria quickly is what makes those presentations credible. Rather than estimating or sourcing comparable data manually across different portals, she can show clients exactly what the market looks like for their target property type in their target area. Property Filter surfaces this data within the same platform she uses for all of her daily research, removing the need to cross-reference multiple sources.

What are property comparables and why does Viktorija Sulciene use them in client presentations?

Comparables are data points showing what similar properties in the same area have sold or rented for within a defined time period. For Viktorija, who presents feasibility reports to development and investment clients at The Estate Agents, the ability to pull comparables within specific criteria quickly is what makes those presentations credible. Rather than estimating or sourcing comparable data manually across different portals, she can show clients exactly what the market looks like for their target property type in their target area. Property Filter surfaces this data within the same platform she uses for all of her daily research, removing the need to cross-reference multiple sources.

What does the 30% property deal fall-through rate mean for buy-to-let investors?

Around 30% of property deals in the UK fall through before completion. For most buyers, a fall-through is a frustrating setback. For prepared investors, it is often a genuine opportunity. A seller whose deal has collapsed is typically still motivated to move, and may now be more open to negotiation than when the original offer was accepted. Viktorija tracks deal history actively on Property Filter, monitors fall-through records for properties in her pipeline, and returns to the relevant agents to re-express interest when she sees a deal collapse. The pipeline feature means she never loses track of a property she has already assessed, and actively following up on fallen-through deals is a deliberate part of her sourcing strategy.

Ready to find your next property deal?

Ready to find your next property deal?

Ready to find your next property deal?

Property Filter gives you the comparables, deal history, and pipeline tools to work the way Viktorija Sulciene works, whether you are building a personal buy-to-let portfolio, sourcing deals for clients, or both.

Property Filter gives you the comparables, deal history, and pipeline tools to work the way Viktorija Sulciene works, whether you are building a personal buy-to-let portfolio, sourcing deals for clients, or both.

oin over 1,800 active members already using Property Filter to source deals across the UK.

oin over 1,800 active members already using Property Filter to source deals across the UK.