Background
The Client
Our client is a UK-based property intelligence platform serving estate agents, property investors, and buy-to-let landlords. Their core proposition is providing subscribers with market data — average asking prices, sold prices, rental yields, and supply trends — broken down by postcode, property type, and bedroom count.
The business had grown steadily on the strength of its analysis and user experience. But the data powering those insights was its weakest point. Two analysts were manually collecting listings data from multiple portals on an ad-hoc basis, and the resulting dataset was patchy: certain postcodes were well-covered, others barely at all. Historic data was incomplete, making trend analysis unreliable. And because collection was manual, the platform could only refresh market data once a week at best.
With a Series A funding round on the horizon, the founders knew the data infrastructure needed to match the quality of the product around it. They approached UK Data Services to design and build an automated extraction pipeline capable of delivering daily, comprehensive market data across all UK postcodes.
The Challenge
Data at the Core, but Not Under Control
The client's data challenges were structural. Manual collection created a ceiling on both quality and coverage that no amount of extra headcount could overcome:
- Property data collected from three portals manually, covering approximately 12% of active UK listings at any given time. Major regional gaps left entire subscriber segments without meaningful data.
- Inconsistent data schema across sources: each portal structured attributes differently, requiring manual normalisation that introduced errors and was impossible to audit reliably.
- Weekly refresh cadence meant the platform's "current" figures were often 4–6 days old — a meaningful lag in an active market, especially during periods of high volatility.
- No tracking of individual listing lifecycles — the team had no way to identify how long properties were sitting on the market, which is one of the most valuable signals for buyers and agents.
Our Solution
An Automated Multi-Portal Pipeline
UK Data Services designed a purpose-built property data extraction and normalisation pipeline, integrating with multiple UK property portals and delivering structured, validated data to the client's database on a daily automated schedule.
- Automated extraction across six UK property portals, increasing active listing coverage from 12% to over 96% of the UK market.
- Unified data schema with automated normalisation: property type, bedrooms, tenure, price, agent, postcode, and listing status all mapped to a consistent internal format regardless of source.
- Listing lifecycle tracking: each property record assigned a persistent ID, enabling time-on-market calculation, price reduction history, and status change alerts.
- Daily automated delivery to the client's PostgreSQL database via a secure API, with validation logs confirming record counts, schema compliance, and duplicate detection.
- Postcode-level completeness monitoring: a daily dashboard showing coverage percentage and flagging any postcode areas falling below quality thresholds.
- Historical backfill for the prior 18 months, populating trend data that the platform had previously been unable to show.
Within 30 days of go-live, the platform's data coverage had expanded from 12% to 96% of active UK listings, with daily refreshes replacing the previous weekly cycle. The 18-month historical backfill gave subscribers access to trend data for the first time.
Results
From Patchy to Comprehensive
The transformation in data quality was immediate and measurable. Within one month, subscriber churn dropped by 31% — attributed directly to users who had previously found their target postcodes unsupported now having full coverage. The platform's NPS score improved from 34 to 61 in the following quarterly survey.
The two analysts previously dedicated to data collection shifted entirely to product development and content. The Series A pitch now includes a live data infrastructure demonstration, and the founding team has credited the pipeline upgrade as a material factor in investor confidence.
The property lifecycle tracking feature — something the client had never been able to offer previously — has since become one of the most-cited features in positive user reviews and a key differentiator in the competitive landscape.