Find homes likely to need loft insulation upgrades
Search intent fit: Useful for installer and marketing teams seeking loft-insulation targeting logic, and for local authority teams planning area-level interventions.
Expanded use case: Build a prospect list of homes where loft insulation is likely to deliver meaningful comfort and bill improvements, then prioritise by install viability.
Suggested search filter / criteria
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• EPC band in D, E, F, G
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• Roof description contains: no insulation, limited insulation, unknown
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• Property type: detached, semi-detached, terraced, bungalow
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• Exclude flats where loft access is less likely
Why these criteria work
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• Lower EPC bands increase probability of improvement need.
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• Roof insulation indicators are the strongest direct loft signal.
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• House-type filtering reduces wasted outreach.
Identify properties with cavity wall insulation potential
Search intent fit: Designed for insulation specialists and retrofit programme teams looking for cavity-wall targeting rules.
Expanded use case: Target homes where wall construction and age profile indicate likely cavity presence and retrofit opportunity.
Suggested search filter / criteria
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• Wall description contains: cavity wall or as built cavity
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• Wall insulation status: poor, unknown, partial
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• Construction age band aligned to cavity-era stock
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• EPC recommendation text includes wall-insulation actions
Why these criteria work
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• Cavity descriptor is the core technical-fit signal.
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• Unknown/poor insulation status flags upgrade opportunity.
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• Age band narrows stock to relevant archetypes.
Target solid-wall homes for external/internal insulation campaigns
Search intent fit: Built for hard-to-treat property workflows where teams need to separate solid-wall stock from cavity stock.
Expanded use case: Identify homes where external or internal wall insulation is likely to be a primary route to efficiency gain.
Suggested search filter / criteria
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• Wall description contains: solid brick, solid stone, solid wall
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• EPC band in D–G
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• Property age band in older stock (often pre-1930)
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• Exclude properties already marked as wall insulated
Why these criteria work
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• Solid-wall types require a different retrofit pathway and messaging.
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• Lower EPC bands indicate stronger potential uplift.
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• Excluding already-insulated stock improves conversion efficiency.
Segment homes by EPC band for upgrade prioritisation
Search intent fit: Fits operational planning where teams need a repeatable triage model for sequencing outreach.
Expanded use case: Create campaign tiers to target highest-need homes first while matching effort and budget to opportunity.
Suggested search filter / criteria
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• Tier 1: EPC F/G
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• Tier 2: EPC E
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• Tier 3: EPC D with high potential uplift
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• Use potential-vs-current score gap threshold (e.g. +10)
Why these criteria work
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• Band segmentation creates clear operational priority.
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• Potential uplift identifies where interventions can materially improve outcomes.
Find homes with low insulation performance signals
Search intent fit: For teams searching broad insulation opportunity detection methods using multiple signals.
Expanded use case: Build a broad insulation-opportunity audience combining roof, wall, and recommendation indicators.
Suggested search filter / criteria
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• Any of: poor roof insulation, poor wall insulation, low fabric-energy score
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• EPC recommendation includes loft/wall insulation
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• Exclude records with strong recent efficiency indicators where known
Why these criteria work
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• Multi-signal matching catches opportunities missed by single-field filters.
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• Recommendation text provides action-ready intent signals.
Select homes suitable for heat pump upgrades
Search intent fit: Supports low-carbon-heating targeting for ASHP conversion candidates 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
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• Main heating fuel/system currently gas/oil/LPG
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• EPC recommendation mentions heat pump or low-carbon heating
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• Property type and age aligned to viable install patterns
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• EPC potential improvement above threshold
Why these criteria work
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• Baseline heating identifies conversion opportunities.
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• Recommendation and uplift signals improve fit and response.
Locate areas with high concentrations of EPC improvement potential
Search intent fit: Targets geo-strategy intent where users need postcode or district concentration analysis before allocating resources.
Expanded use case: Prioritise postcodes or districts where campaign density and upgrade need are both high.
Suggested search filter / criteria
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• Group by postcode district/sector
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• Score by count of D–G homes and average potential uplift
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• Apply minimum volume threshold per area (e.g. 300+ homes)
Why these criteria work
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• Area-level concentration improves route efficiency and CAC.
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• Volume thresholds avoid under-scaled campaign zones.
Build postcode-first prospect lists for retrofit campaigns
Search intent fit: Addresses postcode-led execution where campaign planning starts with territory and then ranks addresses.
Expanded use case: Create local campaign packs with ranked homes for territory-by-territory execution.
Suggested search filter / criteria
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• Input postcode sets (district/sector/outcode)
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• Rank by EPC band, insulation need, and recommendation match
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• Include property type and tenure proxies where available
Why these criteria work
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• Geography-first execution aligns with installer and council operations.
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• Ranking within postcode maximises early conversion impact.
Prioritise homes likely to benefit from glazing upgrades
Search intent fit: Supports glazing and fabric-upgrade intent with criteria for materially beneficial window interventions.
Expanded use case: Target properties where glazing improvements are likely to improve thermal efficiency and comfort.
Suggested search filter / criteria
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• Windows description indicates single glazing
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• Include properties with double glazing installed before 2002 (where glazing age/era is available)
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• EPC recommendation includes glazing/window actions
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• EPC band C–G with additional fabric weakness signals
Why these criteria work
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• Window-related fields directly capture glazing opportunity.
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• Recommendation + EPC context reduces false positives.
Identify homes likely to benefit from wall insulation by construction type
Search intent fit: For technically-led teams needing construction-aware segmentation to match offers to building archetypes.
Expanded use case: Segment homes by build form so insulation offer type (cavity/internal/external) matches construction reality.
Suggested search filter / criteria
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• Build groups: cavity-era, solid-wall-era, mixed/unknown
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• Use wall description + construction age band + property type
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• Add EPC recommendation relevance where available
Why these criteria work
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• Construction-led segmentation improves technical fit and quote quality.
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• Better-fit messaging increases lead quality.
Find properties where EPC recommendations indicate insulation action
Search intent fit: Maps to recommendation-led intent for teams wanting actionable, audit-friendly logic linked to EPC guidance.
Expanded use case: Build actionable recommendation-led lists for targeted outreach and CRM workflows.
Suggested search filter / criteria
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• EPC recommendation contains: loft, cavity wall, solid wall insulation
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• Current EPC below target threshold (e.g. below C)
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• Optional: minimum recommendation confidence/priority where available
Why these criteria work
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• Recommendation-led filtering aligns campaign with assessed advice.
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• EPC thresholding avoids low-need inventory.
Compare local authorities by domestic energy efficiency opportunity
Search intent fit: Supports public-sector and partnership planning intent requiring LAD-level benchmarking.
Expanded use case: Rank LADs on retrofit need, addressable stock, and potential improvement to guide programme allocation.
Suggested search filter / criteria
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• Aggregate by LAD: count of D–G homes
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• Mean current EPC and mean potential EPC
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• Insulation recommendation incidence rate
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• Postcode coverage and data completeness score
Why these criteria work
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• Authority benchmarking helps allocate budget and delivery partnerships.
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• Completeness checks increase confidence in strategic decisions.
Create installer-ready lead lists by technology (solar, insulation, heat pumps)
Search intent fit: Serves commercial lead-generation intent where each installer type needs different qualification logic.
Expanded use case: Produce specialist lead packs so each installer type gets technically relevant opportunities only, including solar-PV-specific targeting for high-electricity homes.
Suggested search filter / criteria
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• Solar: EPC recommendation text contains solar photovoltaic panels / solar water heating
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• Solar: where EPC says solar in recommendation fields, prioritise first
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• Solar: EPC field `Current energy consumption` (kWh/year) = current usage baseline
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• Solar: EPC field `Potential energy consumption` (kWh/year) = potential usage benchmark
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• Solar: prioritise homes with high `Current energy consumption` and a strong current-vs-potential gap
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• Solar: roof/solar potential proxies + owner-occupied proxies where available
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• Insulation: wall/roof weakness + recommendation match
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• Heat pump: heating conversion opportunity + EPC uplift potential
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• Territory constraints by postcode/LAD
Why these criteria work
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• Solar recommendation text is a direct intent signal from EPC guidance.
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• Using `Current energy consumption` and `Potential energy consumption` gives a clear before/after usage view.
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• High-usage homes with a large usage gap are often stronger-value solar conversations.
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• Technology segmentation improves relevance and close rates.
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• Territory constraints map to real sales and delivery workflows.
Track retrofit-ready housing segments over time
Search intent fit: Supports analytics intent for recurring campaigns needing trend tracking and refresh-cycle visibility.
Expanded use case: Monitor market movement to identify where opportunity is rising or saturating, then adapt strategy.
Suggested search filter / criteria
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• Snapshot by month/quarter for key segments
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• Track counts by EPC movement and recommendation incidence
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• Compare area-level trend deltas vs baseline
Why these criteria work
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• Time-series view supports better planning than one-off extracts.
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• Trend deltas highlight emerging opportunity pockets.
Combine EPC and property signals to score upgrade propensity
Search intent fit: Targets model-driven prioritisation for teams ranking likely responders to improve campaign ROI.
Expanded use case: Build ranked propensity scores to prioritise likely adopters for outreach and partner delivery.
Suggested search filter / criteria
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• Inputs: current EPC, potential uplift, recommendation signals, property archetype, area context
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• Score bands: high, medium, low propensity
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• Validate with campaign response and iteratively tune
Why these criteria work
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• Composite scoring outperforms single-metric targeting.
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• Feedback loops improve model precision over time.
