Find homes likely to need loft insulation upgrades
Search intent fit This section targets installer and marketing teams searching for loft-insulation lead criteria, EPC-led targeting logic, and practical ways to reduce wasted outreach in mixed housing stock. It also supports local authority teams planning insulation interventions at area level.
Expanded use case Build a prospect list of homes where loft insulation is likely to deliver material bill and comfort improvements, then prioritise by area and likely install viability.
Suggested search filter / criteria
- EPC band in D, E, F, G
- Roof description contains:
no insulation,limited insulation,unknown - Property type: detached, semi-detached, terraced, bungalow
- Exclude flats where loft access is less likely to be applicable
Why these criteria work
- Lower EPC bands increase probability of improvement need.
- Roof-insulation indicators are the strongest direct loft signal.
- House-type filtering reduces wasted outreach.
Identify properties with cavity wall insulation potential
Search intent fit This section is designed for insulation specialists and retrofit programme teams looking for cavity-wall-specific targeting rules, including construction-era screening and recommendation-led prioritisation.
Expanded use case Target homes where wall construction and age profile indicate likely cavity presence and potential retrofit gain.
Suggested search filter / criteria
- Wall description contains:
cavity walloras built cavity - Wall insulation status contains:
poor,unknown,partial - Construction age band aligned to cavity-era stock (commonly post-1920s, pre-modern fully insulated)
- EPC recommendation text includes wall-insulation actions (where available)
Why these criteria work
- Cavity descriptor is the core technical fit signal.
- Unknown/poor insulation status flags upgrade opportunity.
- Age band narrows stock to relevant archetypes.
Target solid-wall homes for external/internal insulation campaigns
Search intent fit This section serves hard-to-treat-property workflows where teams need to separate solid-wall stock from cavity stock and build technically realistic project pipelines.
Expanded use case Identify hard-to-treat homes where external or internal wall insulation could be a primary route to better efficiency.
Suggested search filter / criteria
- Wall description contains:
solid brick,solid stone,solid wall - EPC band in D–G
- Property age band older stock (often pre-1930)
- Exclude properties already marked as wall insulated
Why these criteria work
- Solid-wall types usually need different retrofit pathway and messaging.
- Lower EPC bands indicate stronger potential uplift.
- Excluding already-insulated stock improves conversion efficiency.
Segment homes by EPC band for upgrade prioritisation
Search intent fit This section fits operational planning intent, where users need a clear, repeatable triage model for sequencing outreach and balancing campaign effort against likely impact.
Expanded use case Create campaign tiers so teams can target highest-need homes first, while matching service level and budget to opportunity.
Suggested search filter / criteria
- Tier 1: EPC F/G
- Tier 2: EPC E
- Tier 3: EPC D with high potential rating uplift
- Include potential-vs-current score gap threshold (e.g. +10 points)
Why these criteria work
- Band segmentation gives clear operational priority.
- Potential uplift captures where interventions can materially improve outcomes.
Find homes with low insulation performance signals
Search intent fit This section is for users searching broad insulation opportunity detection methods that combine multiple signals instead of relying on one field or one recommendation string.
Expanded use case Build a broad insulation-opportunity audience combining roof, wall, and recommendation indicators.
Suggested search filter / criteria
- Any of: poor roof insulation, poor wall insulation, low fabric-energy score
- EPC recommendation includes: loft/wall insulation
- Exclude records with recent strong efficiency indicators where known
Why these criteria work
- Multi-signal matching catches opportunities missed by single-field filters.
- Recommendation text provides decision-ready intent signals.
Select homes suitable for heat pump upgrades
Search intent fit This section supports low-carbon-heating intent, especially for teams trying to identify likely conversion candidates from legacy systems to heat pumps using EPC and property context.
Expanded use case Identify housing stock with likely technical and economic alignment for ASHP campaigns and installer lead generation.
Suggested search filter / criteria
- Main heating fuel/system currently gas/oil/LPG (non-heat-pump baseline)
- EPC recommendation mentions heat pump or low-carbon heating
- Property type and age aligned to viable install patterns
- EPC potential improvement above threshold
Why these criteria work
- Baseline heating identifies conversion opportunities.
- Recommendation and uplift signals improve fit and response.
Locate areas with high concentrations of EPC improvement potential
Search intent fit This section targets geo-strategy intent for users who need postcode or district-level concentration analysis before allocating sales, field teams, or programme resources.
Expanded use case Prioritise postcodes or districts where campaign density and upgrade need are both high.
Suggested search filter / criteria
- Group by postcode district / sector
- Score by count of D–G homes and average potential uplift
- Minimum volume threshold per area (e.g. 300+ target homes)
Why these criteria work
- Area-level concentration improves route efficiency and CAC.
- Volume thresholds avoid under-scaled campaign zones.
Build postcode-first prospect lists for retrofit campaigns
Search intent fit This section addresses users searching for postcode-led outreach execution, where campaign planning starts with territory and then ranks addresses within that territory.
Expanded use case Create local campaign packs with ranked homes, enabling territory-by-territory execution.
Suggested search filter / criteria
- Input postcode set (district/sector/outcode)
- Rank by EPC band, insulation need, and recommendation match
- Include property type and tenure proxies where available
Why these criteria work
- Geography-first execution aligns with installer and council operations.
- Ranking within postcode maximises early conversion impact.
Prioritise homes likely to benefit from glazing upgrades
Search intent fit This section supports glazing and fabric-upgrade intent, with criteria focused on identifying properties where window interventions are likely to be materially beneficial.
Expanded use case Target properties where glazing improvement is likely to improve thermal efficiency and comfort.
Suggested search filter / criteria
- Windows description indicates single glazing / older glazing performance
- EPC recommendation includes glazing/window actions
- EPC band C–G with additional fabric weakness signals
Why these criteria work
- Window-related fields directly capture glazing opportunity.
- Recommendation + EPC context reduces false positives.
Identify homes likely to benefit from wall insulation by construction type
Search intent fit This section is built for technically led teams who need construction-aware segmentation to avoid sending the wrong retrofit offer to the wrong building archetype.
Expanded use case Segment homes by build form to match insulation offer (cavity, internal, external) to construction reality.
Suggested search filter / criteria
- Build groups: cavity-era, solid-wall-era, mixed/unknown
- Use wall description + construction age band + property type
- Add EPC recommendation relevance where available
Why these criteria work
- Construction-led segmentation improves technical fit and quote quality.
- Better-fit messaging tends to increase lead quality.
Find properties where EPC recommendations indicate insulation action
Search intent fit This section maps to recommendation-led intent, useful for teams that want highly actionable, audit-friendly logic tied to EPC assessor guidance.
Expanded use case Build highly actionable lists from recommendation-led intent, useful for targeted outreach and CRM workflows.
Suggested search filter / criteria
- EPC recommendation text contains: loft insulation, cavity wall insulation, solid wall insulation
- Current EPC below target threshold (e.g. below C)
- Optional: minimum recommendation confidence/priority where available
Why these criteria work
- Recommendation-led filtering aligns campaign with assessed improvement advice.
- Thresholding on EPC avoids low-need inventory.
Compare local authorities by domestic energy efficiency opportunity
Search intent fit This section targets public-sector and partnership planning intent, where decisions require LAD-level benchmarking and evidence-backed allocation of programme effort.
Expanded use case Support programme planning by ranking LADs on retrofit need, addressable stock, and potential improvement.
Suggested search filter / criteria
- Aggregate by LAD: count of D–G homes
- Mean current EPC and mean potential EPC
- Insulation recommendation incidence rate
- Postcode coverage and data completeness score
Why these criteria work
- Authority benchmarking helps allocate delivery budget and partnerships.
- Completeness checks improve confidence in strategic decisions.
Create installer-ready lead lists by technology (solar, insulation, heat pumps)
Search intent fit This section serves commercial lead-generation intent, where each installer type requires different qualification logic, messaging, and territory views.
Expanded use case Produce specialist lead packs where each installer type gets only technically relevant opportunities.
Suggested search filter / criteria
- Solar segment: roof orientation/solar potential proxies + owner-occupied proxies where available
- Insulation segment: wall/roof weakness + recommendation match
- Heat pump segment: heating conversion opportunity + EPC uplift potential
- Territory constraints by postcode/LAD
Why these criteria work
- Technology segmentation improves relevance and close rates.
- Territory constraints map to real sales team workflows.
Track retrofit-ready housing segments over time
Search intent fit This section supports analytics intent for teams running recurring campaigns who need trend tracking, refresh cycles, and visibility into where opportunities are emerging or declining.
Expanded use case Monitor market movement to identify where opportunity is rising or saturating and adjust campaign strategy.
Suggested search filter / criteria
- Snapshot by month/quarter for key segments
- Track counts by EPC band movement and recommendation incidence
- Compare area-level trend deltas vs baseline
Why these criteria work
- Time-series view supports better planning than one-off extracts.
- Trend deltas highlight newly-emerging opportunity pockets.
Combine EPC and property signals to score upgrade propensity
Search intent fit This section targets model-driven prioritisation intent for users who want a scoring framework to rank likely responders and improve campaign ROI over time.
Expanded use case Build a ranked propensity score to prioritise highest-likelihood adopters for outreach and partnerships.
Suggested search filter / criteria
- Inputs: current EPC, potential uplift, recommendation signals, property archetype, area context
- Score bands: high, medium, low propensity
- Validate with campaign response and iteratively tune
Why these criteria work
- Composite scoring outperforms single-metric targeting.
- Feedback loop improves model precision over time.
How to use this page in practice
- Start with the use case closest to your immediate objective (installer leads, council planning, or area prioritisation).
- Copy the suggested criteria into your own query logic.
- Run a pilot in one geography first (single LAD or postcode cluster).
- Validate response rates and conversion quality.
- Refine thresholds (for EPC band, potential uplift, and recommendation match) and scale.
This process helps turn broad property data into specific, measurable campaign outputs.
Who this is for
- Installers and lead-generation teams: Build higher-quality prospect lists for insulation, heat pumps, and solar workflows.
- Local authorities and programme teams: Benchmark need, target interventions, and track delivery impact.
- Retrofit and data analysts: Build repeatable segmentation logic and monitor trend movement over time.
- Partnership and strategy teams: Align geography, stock profile, and likely outcomes before allocating budget.
