Find Higher Quality Leads Faster
Stop buying lists and hoping. Use property-level insight to generate leads that convert — with data that predicts capacity, opportunity, and readiness.

Companies that build, sell, or broker lead lists for renewables, retrofit, and energy service providers — from small niche teams to enterprise data publishers.
Organisations that manage their own pipeline and need better data to feed marketing, telesales, and outbound channels.
Teams that need defensible, explainable signals to fuel targeted campaigns and reduce churn in acquired leads.
“We’re getting names, but most of them were never right for the upgrade in the first place.”
Most renewable and retrofit lead lists are built using broad marketing signals — postcodes, age bands, homeownership assumptions, or historic response data — without deeper property or household context.
That gap between “contactable” and “actually suitable” creates serious inefficiencies.
Lead quality matters more than volume.
You need to know:
- Which homes are actually suitable for upgrades
- Which households have financial capacity or motivation
- Which segments are most likely to respond
That’s where xenscope’s data paradigm outperforms generic property lists.
xenscope uses enriched property and household insight to create lead pools that are:
- Technically suitable for upgrades
- More likely to convert
- Segmented by property characteristics and opportunity
- Prioritised by likely engagement and capacity
This is not scraping — it’s inference based on data and modelling.
- EPC recommendations and upgrade measures
- Property attributes (type, size, roof orientation, layout)
- Heating systems and energy usage patterns
- Affordability and market context via ACI (Affluence & Capability Index)
- Deprivation, socio-economic, and local adoption signals
Lead-gen lists become richer and more actionable because they combine multiple layers of domain-relevant insight.
Affordability and adoption readiness aren’t driven by income alone. They emerge from the interaction between property value, financial resilience, housing characteristics, and local economic context.
The Affluence & Capability Index brings these signals together into a single, consistent framework designed to indicate capacity to act, not just relative wealth.
xenscope uses AI-assisted modelling to combine multiple data sources and identify households where upgrades, investments, or energy improvements are most likely to be financially viable — without relying on blunt “wealthy area” assumptions or single-metric profiling.
The index is built using composite scoring across:
- Property value and housing market contextIndicators of financial resilience and -stability
- Property characteristics that influence upgrade feasibility
- Local economic and demographic signals that shape spending capacity
- Each household score is normalised, allowing fair comparison across towns, districts, and regions.
This ensures that capability is assessed consistently, even where local property markets and economic conditions differ.
The result is a practical, transparent index that helps teams:
-Focus on households with the financial capacity to take action
- Plan campaigns and interventions where uptake is most realistic
- Balance opportunity targeting alongside vulnerability targeting
- Justify outreach and investment strategies using explainable data
This isn’t a wealth ranking or automated decision-making tool.
It’s decision support — designed to highlight likelihood of adoption and financial feasibility in a way that is responsible, transparent, and grounded in real-world context.
Affluence & Capability Index






