Fourteen agents in your town, and two of them sell most of the moves
Listing and completed-sale volume by agent across a catchment, showing which two or three branches generate the moves.
Propalt Team · For removal companies
Estate agent referrals are some of the best work a removal firm can get. The customer is already moving, the timing is set, and a recommendation from their agent carries weight no leaflet ever will. So most firms try to build relationships with the agents nearby, drop in a card, buy the odd coffee, and hope to be top of the list when a completion lands.
The trouble is spreading that effort evenly. There might be fourteen agents in your town, but the transactions are never split fourteen ways. A handful of offices sell most of the homes, and the rest tick over. Court all of them equally and you pour your limited relationship-building time into branches that barely complete a sale a month, while the ones driving real volume get the same single card as everyone else.
The completions tell you who is worth the coffee
Admittedly, a busy branch is also the one every other remover is trying to get in with, so the top office is not an easy win. But easy is not the point; volume is. An agent that lists and sells steadily across your catchment can send you more work from one relationship than five quiet branches combined. You want to know who those agents are before you decide where your time goes.
The market data shows it plainly: which agents are listing most, which are actually converting those listings to sales, and in which parts of your catchment. Listing volume alone can flatter a branch that takes on stock and stalls. Pairing it with completed sales tells you who is genuinely moving people out of homes, which is the moment your van is needed.
| Agent (catchment illustrative) | Listings | Sold last quarter | Strongest area | Priority |
|---|---|---|---|---|
| Agent A | 40 | 31 | Central | High |
| Agent B | 28 | 22 | North | High |
| Agent C | 19 | 8 | Mixed | Medium |
| Agent D | 12 | 3 | Outer | Low |
The example above is illustrative. The value is in the ranking: it comes from real listing and sold activity in your catchment, so the two branches worth a proper relationship rise to the top and the ten that would waste your time drop down.
Approach the few, and approach them well
A shorter list changes the quality of the relationship, not just the maths. Instead of thin contact with fourteen offices, you can build a genuine partnership with the two or three that generate the moves: understand their patch, learn how they like to refer, and become the firm they trust to look after their vendors. That is worth far more than being a card in a drawer at every branch in town.
Knowing where each agent is strong sharpens it further. If one dominates the north of your catchment and another the centre, you can tailor how you position yourself to each, rather than pitching the same generic message everywhere. This is all at agent and area level from public market activity, with no personal data attached; it is simply a clear read on who sells what, and where.
The best referral partner is not the nearest agent. It is the one who actually completes.
Stop dividing your time by the number of shopfronts. Divide it by where the sales are, back the two or three branches that move real volume, and let the quiet offices wait until they earn the coffee.
Back the agents who complete, not the ones who happen to be nearby.
Try the Top agent spotter → · propalt.ai
Agent listing, sold and market-activity data is drawn from the Propalt intelligence layer. No personal data is used; all work is at agent and area level. Figures shown are illustrative. This article is general information for removal company professionals.
Top agent spotter
Ranks the agents in your catchment by how much they list and actually sell, and shows where each is strongest, so you can build referral relationships with the two or three that drive real volume.
🎯 Best used for
Prioritising estate agent referral partnerships
🔌 Propalt APIs used
get_comparable get_monthly_market
