Which channels produced paid, occupied units?

Two channels can produce move-ins at the same cost while one produces tenants who stay four months and the other tenants who stay eighteen. Cost-per-move-in rates them identically and is wrong by a factor of four.

Because the match is on the tenant, every month of rent credits the channel that produced them. That single change usually reverses which channel an operator considers their best.

A city site and a suburban one draw from different demand, and a portfolio-level report averages away exactly the differences an operator would act on.

A facility column mapped as Location splits the revenue by site, with how much of each site traces to a channel, so each site's budget can follow its own evidence rather than the portfolio's.

Move-in pricing in storage is promotional almost everywhere: a dollar for the first month, half off for three, a waived administration fee. The street rate a tenant sees is set to win a booking rather than to describe what the unit will earn over a year. Counting the first payment as a campaign's outcome therefore measures the promotion rather than the demand, and it measures it most wrongly at exactly the sites running the deepest discounts, because those are the sites whose occupancy is thin and whose numbers most need to be right.

What the unit actually earns emerges over the following year, as the promotional period lapses and the rate steps up toward street and past it. Two tenants who moved in on the same offer, from different sources, can be paying very different amounts by month eight, because the rate management applied to each depends on how long they stayed and how the site was performing when the review came round. Neither of those things was knowable on the day the advertisement was clicked.

Because every later charge credits the channel that produced the tenant, the ranking is built on the sum of what was billed rather than on what was quoted. That is the only version of the figure that ties back to the site's own revenue, and it is the version that separates a channel filling units with price-shoppers from one filling them with people who will not move their belongings again over ten dollars. Those two channels can cost the same per move-in and differ by a factor of three by the end of the year.

A large share of storage demand books online or by phone for a move-in a few days out, and a meaningful share of those reservations never turn up. The tenant found somewhere cheaper, the move fell through, or they simply took a unit at the first place they drove past on the day. A report built on reservations is counting intent, and intent is the thing this industry has most of and can rely on least, which is exactly why it is the metric most often quoted.

The only outcome worth ranking is a unit occupied and a payment taken. That record sits in the management software as a move-in or a ledger line, with the tenant's phone number and email attached because the site needs to reach them about gate codes, late notices and the annual insurance renewal. It makes a clean file for matching precisely because it was maintained for operational reasons rather than for reporting, and operational records are the ones people keep properly.

Setting reservations beside completed move-ins turns the shortfall into a channel-level number instead of a site-level frustration. A source producing cheap reservations of which a third arrive is more expensive than it looks; a source producing fewer that nearly all arrive is cheaper than it looks. No cost-per-reservation report can tell those two apart, and the gap between them is frequently wider than the gap in the headline price that everybody is arguing about instead. The shortfall is where the real cost of a source quietly hides.

Storage demand is drawn from a radius of a few miles and driven by events: a move, a separation, a business outgrowing a garage, a death in the family. Two sites twenty minutes apart can face entirely different competitive sets, different price ceilings and different mixes of household and commercial tenants. A portfolio-level channel ranking averages those differences away and then hands every site the same instruction, which is how a site with a genuine problem ends up funded the same way as one that has none.

Marketplaces and aggregator listings sit on top of all this, charging for the tenants they send and reporting on the tenants they send. Their export goes into the lead file like any other source, and once billed rent is attached to it the comparison an operator has never been able to make becomes routine: what a marketplace tenant is worth over the whole stay against what a tenant from the site's own advertising is worth over theirs.

The facility column is what makes any of it local. With it, a site whose revenue is largely attributed can be told apart from one where most tenants arrive with no trace in the lead file — usually the sign that a map listing does the work and the advertising buys tenants who were arriving anyway. It does not rank channels within each site, but no operator manages a portfolio at the portfolio level: they manage one site that is struggling and four that are not, and the struggling one is what the budget should be answering questions about.