Which channels produced deals that actually closed?

Almost every other property business advertises to buyers and renters. An investor advertises to owners who want out — inherited property, distressed situations, tired landlords — and the conversion is a purchase, not a sale.

That inversion matters for measurement because the revenue does not arrive at the conversion. Money goes out when the property is bought, more goes out during renovation, and the spread only appears at resale, commonly five to six months later.

Ranking channels on contracts signed therefore rewards volume that may never monetise. Matching resale profit and assignment fees back to the seller lead measures what each channel actually produced.

Direct mail, skip-traced calling and texting are a large share of acquisition spend in this business, and none of them appear in an advertising platform. Paid search is usually the minority of the budget and all of the reporting.

Uploading a mail drop list or a call campaign as a source file puts them on the same axis as Google Ads. In practice that comparison is the one that changes the budget, because it is the first time the two have ever been priced against the same outcome.

Getting a property under contract feels like the finish line and is not. Title work turns up an heir who did not sign, a lien nobody disclosed, or a boundary that was never properly recorded. The seller's family intervenes. An inspection finds a foundation problem that changes the numbers past the point of interest. A competing investor makes a better offer during the option period. A meaningful proportion of everything signed never reaches a settlement table, and the proportion is not the same across lead sources.

That matters because cost per contract is the metric acquisitions teams actually manage to, day by day. It is available immediately, it is what the acquisition manager is bonused on, it is what appears on the board in the office, and it is what gets reported upward on a Monday morning. A channel that produces distressed sellers in complicated situations will look excellent on that measure and considerably worse on the one that pays the bills, and the lag between the two is long enough that the budget has usually already been committed again.

Ranking on assignment fees and resale profit actually collected removes the flattery in one step. A source with high contract volume and a poor completion rate is producing sellers who cannot or will not close, which is a lead quality problem wearing the costume of an acquisitions success. It is expensive in a way the contract count cannot show, because it consumes the scarcest resource the business has: the time of the people who have to unwind a deal, and the reputation with the title company that has to keep opening files that go nowhere.

Acquisition in this business is rarely a single campaign. A list is pulled from public records, skip traced for numbers, mailed, mailed again, texted, called by a virtual assistant, mailed a fourth time, and eventually somebody rings back about a letter they received months earlier and set aside on the kitchen counter. Investors know this perfectly well and plan for it, which is why the same list gets worked for a year or more before it is retired, and why the mail budget is committed well ahead of any response it will generate.

The measurement problem follows directly from that cadence. Whichever touch the seller happens to mention on the call, or whichever campaign was running the week the phone rang, receives the credit, and the eleven months of cost that actually produced the relationship are written off against a different line in a different month. Two lists with identical cost per lead can therefore have completely different economics once the cadence is accounted for, and the one that responds slowly is the one most likely to be cancelled before it pays.

Uploading each list as its own source file, with the mail drop or dial campaign named on it, ranks them on collected profit rather than on which one happened to be live when the phone rang. Because the match is on the seller rather than on a response window, a caller who came in on a letter from the previous year still credits the list that put their name into the pipeline in the first place. That is the whole argument for the slower lists, and until now it has been made from memory rather than from records.

Investors think of marketing as seller acquisition, and of dispositions as an operational matter handled by a phone call to the usual cash buyers. But the price achieved on the exit is half the spread, and the exit channel varies a great deal: a repeat cash buyer who closes in nine days at a discount, a retail listing that sits for six weeks and nets more, an auction platform, a novation, a rental buyer who wants a tenant already in place. The choice is made quickly and almost never measured afterwards.

Each of those routes produces a different net number on the identical property, and each one is reachable, marketed to, and in several cases paid for through a platform fee or a commission. The buyer list has usually been built over years of transactions and has never been valued against anything at all, because nobody in the business thinks of a cash buyer database as a marketing channel with a return attached to it. It is treated as plumbing rather than as an asset, which is why it is never in the report.

Uploading it as a source file, ranked against resale proceeds rather than against acquisition cost, puts the exit routes in order by what they actually realised on comparable stock. Investors who run both sides through the report generally find there is more room on the dispositions side than on the acquisition side, which is the opposite of where the attention goes. It is also the side nobody has ever measured, because the money in this business is assumed to be made at the purchase and the sale is treated as a formality.