Obligation scheme targeter

Property-level inputs for scheme targeting. Low-EPC properties combined with area-level income and vulnerability context, as inputs to obligation-scheme targeting. Property signals, not eligibility decisions.

Obligation targeting

Obligation targeting needs a place to start, not a verdict

Why property signals belong at the front of scheme targeting, and eligibility belongs at the end.

Propalt Team · For utility companies

Obligation schemes ask a supplier to reach the right properties, and the volume of stock makes that hard to do by hand. The temptation is to look for a single source that says which households qualify. That source does not exist in property data, and treating any dataset as if it did is where obligation programmes get themselves into trouble.

The honest position is narrower and more useful. Property data can tell you which addresses are worth looking at first. It cannot tell you who is eligible. Those are two different jobs. The first is targeting, and it is where a property view earns its place. The second is a formal eligibility assessment, and it stays exactly where the scheme rules put it. Keeping the line clear between the two is what makes the targeting safe to use.

Property signals point at where to look

Low-EPC properties are a sensible starting point for schemes aimed at inefficient homes, because the energy rating is a recorded attribute of the building. Combined with area-level income and vulnerability context, that gives a defensible way to prioritise which addresses to survey or contact first. Not a decision about any household, a shortlist of properties that merit a closer look.

The context stays at area level for a reason. Income and vulnerability signals here describe the area, not the individual, and they are inputs to prioritisation rather than statements about a person. That distinction is not a technicality. It is the difference between a targeting aid and a claim the data cannot support.

Property (illustrative)EPCArea income contextArea vulnerability contextReview priority
Property AFLowerHigherReview first
Property BEMidMidReview next
Property CCHigherLowerLower priority

The example above is illustrative. The ordering is a review priority built from property and area signals. It is not an eligibility outcome, and no row here says a household qualifies for anything.

Eligibility stays where the scheme rules put it

Once the shortlist exists, the formal work begins under the scheme's own rules: the checks, the evidence and the sign-off that decide eligibility. The property view does not replace any of that. It gets the right properties in front of that process sooner, so the assessment effort lands on addresses that are more likely to matter rather than being spread evenly across everything.

Property data tells you where to look. Only the scheme assessment tells you who qualifies.

Used this way, the property signals speed up targeting without ever standing in for an eligibility decision, which keeps the programme both efficient and defensible.

Let property signals prioritise the review, and let the scheme decide eligibility.

Try the Obligation scheme targeter → · propalt.ai


Property signals are drawn from the EPC register and the Propalt intelligence layer, with area-level income and vulnerability context added where relevant. These are property signals, not eligibility decisions. Scheme rules and eligibility criteria change; always confirm the current position with the administering body. Figures shown are illustrative. This article is general information for utility acquisition and planning teams.

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Obligation scheme targeter

Combines low-EPC property signals with area-level income and vulnerability context to prioritise which addresses to review first, as inputs to obligation-scheme targeting rather than eligibility decisions.

🎯 Best used for

Prioritising addresses for obligation-scheme review

🔌 Propalt APIs used

get_epc_fabric_by_postcode get_income get_demographics