How Home Services Companies Can Use Data Science and the Property Intelligence Layer to Grow Faster
Data warehouses, EPC data, propensity modelling, and churn prediction — the full Layer 1 and 2 playbook.
Your best customers are hiding in your data. Most of it is free, public, and sitting untouched.
Home services and home products businesses run some of the most complex operations in the UK mid-market. But most are making commercial decisions based on yesterday's CSV export. The technology to change this exists — and the data you need is largely free.
Every insight requires a manual export, a pivot table, and half a day of someone's time. By the time the answer arrives, it's out of date.
Without connected data, you can't see which channels drive margin, which customers are about to churn, or where the best prospects are hiding.
Call transcripts, survey PDFs, compliance certificates, installation reports — all handled manually, all creating error and delay.
27 million UK property records are publicly available for free. Most home services businesses have never looked at them.
We've built a three-layer framework specifically for home services, home improvement, and home products businesses — sequenced to deliver value at each stage and compound across all three.
A unified data warehouse that connects your ERP, CRM, field management, and marketing platforms into a single source of truth. No more CSV exports. No more stale board packs. Every analytical mind in the business gets access to current, reliable data.
We enrich your CRM with publicly available UK property data — EPC ratings, Land Registry transactions, ONS deprivation scores — matched at postcode level. Your customer and prospect records become predictive intelligence assets.
Purpose-built AI agents that process the unstructured data your business generates every day — call transcripts, survey PDFs, compliance documents, aftercare contacts — automatically, consistently, and at scale.
The typical home services business has its data spread across NetSuite, a CRM, a field management platform, GA4, and a finance system. None of them talk to each other. We connect them all into a cloud-native data warehouse — BigQuery or Snowflake — with automated pipelines that keep everything current.
Every UK property has a publicly available Energy Performance Certificate. The Land Registry publishes every transaction by address. The ONS maps 1,500-household areas by income, deprivation, and age profile. We join all of this to your CRM — for free, updated monthly, no data licence required — turning flat contact records into rich, predictive profiles.
27 million UK domestic properties. Property type, age, floor area, heating system, energy band, and estimated CO₂ emissions. Updated monthly.
Transaction history for every residential property in England and Wales. New ownership is a leading indicator of home improvement intent.
55-indicator deprivation scores at LSOA level — ~1,500 households. Income, employment, education, and housing quality. Updated October 2025.
Home services businesses generate huge volumes of unstructured data — call transcripts, site survey PDFs, engineer notes, compliance certificates, aftercare contacts. Most of it is processed manually by staff who are too valuable to spend their time on document handling. AI agents change that.
"For the first time, we could see the full customer journey from first marketing touchpoint to installation and aftercare — and what was actually driving profitable jobs."
A UK manufacturer of home accessibility products had lead data in one system, sales activity in another, and installation records as unstructured text across a field service platform. No end-to-end visibility. No reliable marketing attribution. No way to predict which customers needed aftercare intervention.
Fifty One Degrees built a unified data warehouse connecting CRM, ERP, field service platform, and marketing data. NLP extracted structured signals from unstructured survey and installation notes. EPC and Land Registry data was joined to customer records at postcode level.
Marketing attribution showed two high-volume paid channels were producing jobs at margins 35% below the company average. One under-invested organic channel was generating the most profitable customers. Property data enrichment enabled targeted outbound campaigns to prospects matching the ideal customer profile — without a single third-party data licence.
The Home Business Growth Stack is designed for UK businesses with 50–500 employees whose product or service is sold to, installed in, or delivered to a residential property.
Boiler installers, heat pump companies, solar providers, insulation contractors. EPC data is your most valuable targeting asset — and you're not using it yet.
Kitchens, bathrooms, home lifts, stairlifts, extensions. High-value, considered purchases with long sales cycles that reward better lead prioritisation.
Appliance repair, boiler cover, plumbing, electrical. Membership and subscription models where churn prediction and AI-driven aftercare create structural retention advantages.
Water filtration, flowers, lifestyle products delivered to the home. Subscription businesses with churn risk, gifting growth, and lapsed customer reactivation opportunities.
Credit brokers and lenders financing home improvement work. Property data is directly predictive of credit risk and affordability — and a source of competitive intelligence on the installer network.
Home extension platforms, architectural services, planning consultants. Property age, type, and transaction history predict which homeowners are most likely to extend or refurbish.
We aren't career consultants who read about AI in a whitepaper. Our founders built the kinds of businesses we now help — at scale, under pressure, with real operational complexity.
Nick Harding (CEO) founded Fluro and scaled it to 4 million credit applications a year. He knows what a sales and distribution operation looks like when the data isn't working.
Mark Somers (CPO) built 4most into the UK's largest independent credit risk consultancy, with 200 staff and a PhD in Astrophysics behind the models. He builds the data science that makes the difference.
About Fifty One DegreesWe reject multi-year transformation programmes. Every engagement follows the same three-phase methodology — designed to prove value before you commit to the full build.
We build a working prototype against your real data — not synthetic examples. One use case, one measurable success criterion. If it doesn't hit the number, you've spent two weeks finding that out, not six months.
Timeline: ~2–4 weeksThe PoC is hardened, integrated into your operational workflow, and deployed to a live user group. Edge cases handled. CRM writes confirmed. Escalation routing tested. Real value, in production.
Timeline: ~4–8 weeksFull rollout, team training, documentation, and handover. Your team owns the asset — we don't create dependency. The next use case is built on the same foundation, at lower incremental cost.
Timeline: you set the paceThe Property Intelligence Layer is a methodology developed by Fifty One Degrees that enriches your CRM with publicly available UK property data — Energy Performance Certificate records, Land Registry Price Paid data, and ONS Indices of Multiple Deprivation — matched to your customer and prospect records at postcode level. The result is a database of property-level signals that dramatically improve the accuracy of lead scoring, propensity models, and retention predictions. All three data sources are free, published under the Open Government Licence, and updated monthly.
Yes. NetSuite is one of the most common platforms we connect in home services and home improvement businesses. We build automated pipelines that extract the data you need from NetSuite — jobs, revenue, costs, materials, customer records — and load it into BigQuery or Snowflake alongside your CRM, marketing, and field management data. Your team gets real-time reporting without a single manual export.
Churn prediction is one of the highest-return data science applications for subscription home products businesses. We build retention models that identify at-risk customers 60–90 days before they cancel — early enough to intervene with a targeted offer, a proactive service call, or a personalised outreach sequence. Across our implementations, clients have seen a 40% improvement in churn reduction using this approach.
A well-scoped proof of concept runs for two to four weeks and delivers a working prototype processing real data. The beta phase — hardening, CRM integration, escalation routing — takes a further four to eight weeks. A first production agent is typically live within eight to twelve weeks of project start. We run a structured PoC → Beta → Release methodology with success criteria agreed before build begins, so there are no surprises on scope or timeline.
It's the norm, not the exception. Every client we work with at Fifty One Degrees starts with data quality issues — duplicates, gaps, inconsistent formats, unlinked records across systems. The data warehouse build addresses most of this systematically. We always start with a data audit rather than jumping straight to model build. If the data genuinely isn't ready, we tell you — and we tell you what it would take to get it there.
We work alongside them — embedded in your team, in your tools, in your standups. Our model is the opposite of the traditional consultancy: we build in the open, transfer knowledge progressively, and design every engagement to reduce our own involvement over time. The goal is for your team to own the systems we build, not to rent them from us indefinitely. Every client who has completed a project with Fifty One Degrees has re-engaged for follow-on work.
Data warehouses, EPC data, propensity modelling, and churn prediction — the full Layer 1 and 2 playbook.
Aftercare agents, compliance monitoring, call transcript intelligence, and survey processing — the Layer 3 playbook.
Book an exploratory call
Agree a proposal
We build. You own it.
Fifty One Degrees offers AI and data science solutions for home services businesses, focusing on unifying data, enriching customer profiles with public property data, and automating unstructured data processing. Their 'Home Business Growth Stack' aims to increase productivity and customer experience by connecting disparate systems and leveraging AI agents for tasks like lead scoring and churn prediction.
The Property Intelligence Layer is a methodology developed by Fifty One Degrees that enriches your CRM with publicly available UK property data — Energy Performance Certificate records, Land Registry Price Paid data, and ONS Indices of Multiple Deprivation — matched to your customer and prospect records at postcode level. The result is a database of property-level signals that dramatically improve the accuracy of lead scoring, propensity models, and retention predictions. All three data sources are free, published under the Open Government Licence, and updated monthly.
Yes. NetSuite is one of the most common platforms we connect in home services and home improvement businesses. We build automated pipelines that extract the data you need from NetSuite — jobs, revenue, costs, materials, customer records — and load it into BigQuery or Snowflake alongside your CRM, marketing, and field management data. Your team gets real-time reporting without a single manual export.
Churn prediction is one of the highest-return data science applications for subscription home products businesses. We build retention models that identify at-risk customers 60–90 days before they cancel — early enough to intervene with a targeted offer, a proactive service call, or a personalised outreach sequence. Across our implementations, clients have seen a 40% improvement in churn reduction using this approach.
A well-scoped proof of concept runs for two to four weeks and delivers a working prototype processing real data. The beta phase — hardening, CRM integration, escalation routing — takes a further four to eight weeks. A first production agent is typically live within eight to twelve weeks of project start. We run a structured PoC → Beta → Release methodology with success criteria agreed before build begins, so there are no surprises on scope or timeline.
It's the norm, not the exception. Every client we work with at Fifty One Degrees starts with data quality issues — duplicates, gaps, inconsistent formats, unlinked records across systems. The data warehouse build addresses most of this systematically. We always start with a data audit rather than jumping straight to model build. If the data genuinely isn't ready, we tell you — and we tell you what it would take to get it there.
We work alongside them — embedded in your team, in your tools, in your standups. Our model is the opposite of the traditional consultancy: we build in the open, transfer knowledge progressively, and design every engagement to reduce our own involvement over time. The goal is for your team to own the systems we build, not to rent them from us indefinitely. Every client who has completed a project with Fifty One Degrees has re-engaged for follow-on work.