MEMBER SUCCESS STORY

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.
Feature Spotlight

Daily research time with PF
Estimated time without PF
Largest PF-supported deal
Cash flow on assisted living deal
Of deals fall through - use the pipeline
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.

