Postcode ad audience builder

Build a postcode-targeted ad audience: use the address and area data to target Meta and Google campaigns at the streets that are actually moving, rather than an entire town.

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Your ad budget is buying a whole town when a few streets are doing the moving

Recent listings, sales and turnover by outcode, with the demographic shape of each area, to weight Meta and Google spend towards the streets that are moving.

Propalt Team · For removal companies

Most local removal ads are set up the same way. Pick a town, draw a radius, set a budget, and let the platform spend it across everyone inside the circle. It is easy to launch and expensive to run, because the circle is mostly made up of people who are not moving. You pay for the impressions anyway, and the cost per genuine enquiry drifts upwards.

The problem is not Meta or Google. Both platforms will happily point your spend wherever you tell them to. The problem is that a radius is a lazy instruction. It treats a settled cul-de-sac and a fast-churning terrace of first-time buyers as the same opportunity. Moves are not spread evenly across a town, so your ads should not be either.

Point the spend at movement, not at a circle

Granted, you cannot build an audience of named individuals who are about to move, and you should not want to. This skill stays at area and address level, with no personal data involved. What it gives you is a picture of where movement is concentrated: the outcodes and streets with recent listings, sales and turnover, and the demographic shape of those areas, so you can brief a campaign that leans into the places that actually generate work.

That briefing is the difference. Instead of a single town-wide campaign, you can weight budget towards the postcodes that are moving, write ad copy that suits the housing there, and hold spend back from the areas that stay still. The platforms let you target by postcode and area already; this simply tells you which postcodes are worth the money this month.

Targeting basis (illustrative)Area coveredRelative cost per enquirySpend efficiency
Town-wide radiusWhole townHighLow
Active-outcode weightingMoving outcodesMediumBetter
Active streets plus demographicsMatched streetsLowerBest

The figures above are illustrative. The pattern is what counts: as targeting moves from a blanket radius to the specific areas where moves and matching households cluster, the cost of each enquiry comes down and the same budget works harder.

From market data to a campaign brief

A list of active postcodes is only half the job. The demographic layer tells you who lives there, so a campaign for an area of family houses reads differently from one aimed at a district of young renters. Matching the message to the area lifts response before a single pound of extra budget is added.

Read together, the two feeds turn your paid marketing into a monthly decision rather than a set-and-forget circle. You look at where the market moved, weight the budget accordingly, adjust the copy to fit each area, and skip the streets that went quiet. That is a campaign built on what is happening, not on a radius you drew once and forgot.

A radius spends your budget evenly. The market never moves evenly.

You keep full control of the platforms and the creative. All this does is make sure the money lands where the moves are, and stops funding impressions in the streets that were never going to call.

Target the movement, not the map pin.

Try the Postcode ad audience builder → · propalt.ai


Address, area and demographic data is drawn from the Propalt intelligence layer. No personal data is used; all work is at property and area level. Figures shown are illustrative. This article is general information for removal company professionals.

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Postcode ad audience builder

Combines address, area and demographic data to show where moves are concentrated, so you can weight Meta and Google spend towards the postcodes that are actually moving instead of a whole town.

🎯 Best used for

Targeting paid campaigns to active areas

🔌 Propalt APIs used

search_properties get_demographics