January is the worst month of the year to buy a moving lead. It’s also the month most operators buy the most of them. The logic feels sound in the moment: the calendar is empty, payroll doesn’t pause for winter, and a mediocre lead beats an empty truck. But mediocre is generous. Real demand is thinnest in the trough, so the leads for sale are thinnest too. Every operator with the same empty calendar is bidding on the same shrinking pool at the same time. Thin supply and inflated demand for the scraps: that combination is why trough-season lead buying is the single most expensive way to book a job all year, even when the price on the invoice barely moves.
Forty-five percent of a year’s moves, in four months
The seasonal concentration behind that math is real and well documented. HireAHelper is a moving-labor marketplace that tracks thousands of real, completed moves through its own platform. It reports that about 45% of all U.S. moves happen inside the four-month window from May through August alone. Spread evenly across twelve months, four months would carry a third of the year’s volume. Instead they carry closer to half of it. The same dataset shows the inverse on price: HireAHelper’s own numbers put November-through-March moves 20 to 30% cheaper than the same job booked in peak season. That’s ordinary supply and demand: more trucks and crews than jobs to fill them, so price falls.
Operators don’t need a marketplace’s dataset to know this shape. Supermove’s State of Moving and Storage 2025 report surveyed 139 moving and storage owners and operators. Drive Research ran the survey in December 2024, with an 8% margin of error at a 95% confidence level. The survey found that the industry describes its own year in almost identical terms. In the report’s own words, operators are “used to ramping up and ramping down,” and already build their balance sheets around a busy summer and a September slowdown. The seasonality itself isn’t the discovery here. Every operator in that survey already lives it. The industry hasn’t consistently treated the trough as anything other than a season to survive.
The lead marketplace has the same trough operators do
A lead marketplace runs on volume commitments, not on real demand showing up on schedule. The operators paying for leads in a given metro expect a steady number each week. Real moving-related search interest, meanwhile, falls sharply in the trough: Google Trends data analyzed by Supermove found 2024 summer search volume running 31% higher than winter’s, the same seasonal curve behind HireAHelper’s booking numbers above. The marketplace has two choices: tell its paying customers volume is down and risk losing them, or widen what counts as a lead to keep the number looking steady. No public data documents marketplaces doing this by name, but the incentive runs one direction: whichever option keeps a marketplace’s own revenue flat through the winter is the rational move for the marketplace, even when it’s a bad trade for the operator buying the lead.
The result shows up downstream, in the operator’s own CRM, as a lead that looks identical to a June lead on the invoice and behaves completely differently on the phone: a slower callback, a person still deciding whether to move at all, a job three months out instead of three weeks. None of that shows up in the price. It shows up in the close rate, the number that actually determines what a booked job costs, not the number on the lead invoice.
Layered on top of a thinner, weaker pool is a second effect: every other operator with an empty January calendar is bidding into that same pool at the same time, for the same reason. A slow month doesn’t reduce competition for the leads that exist. It concentrates it, because the operators who’d otherwise be busy filling trucks with June’s abundant real demand are instead all reaching for the same thin January supply simultaneously, with the same urgency.
What January actually costs, modeled against June
The two months compare directly for a mid-sized operator, using illustrative numbers rather than a single verified benchmark. In June, real demand is deep enough that a marketplace lead costs around $60 and converts at roughly 22%, near the higher end of what industry lead-cost trackers report for a healthy season. Cost per booked job: $60 divided by 0.22, or about $273.
In January, the same marketplace, drawing from a thinner and more diluted pool, might price its leads only slightly lower, say $50, because it knows operators still need the volume and will pay close to the summer rate. But that pool is watered down with early-stage lookers and jobs still months from a decision. Its close rate drops to something closer to 9%. Cost per booked job: $50 divided by 0.09, or about $556. Same operator, same channel, more than double the cost to book the same job, and the sticker price on the invoice barely moved.
The instinctive response to a bad close rate is to buy more leads, not fewer, to hit the same number of booked trucks. That instinct isn’t stupidity. It’s what an empty calendar does to a person: the fear of an idle truck weighs more in January than the memory of a full June. So operators buy hardest exactly when the economics are worst, because volume is the only lever that still moves once quality has collapsed. Forty leads at that January rate cost $2,000 and, at a 9% close rate, produce about four bookings. Eighty leads don’t double that count to eight bookings, because supplying the extra volume from an already-thin pool means reaching for weaker leads than the first batch. The added 40 convert at 6% instead of 9%, producing two more bookings for another $2,000. Four bookings for $2,000 was already a rough trade. Two more for a second $2,000 is worse, nearly $1,000 for each marginal job, in the same month an operator convinced themselves that doubling the buy was the safe move.
What gets cheaper to build while the phone is quiet
Everything about buying demand in the trough is expensive because it depends on winning a bidding war for a shrinking pool of real buyers, in real time, under pressure. Building demand doesn’t carry that constraint. A referral ask to a customer who moved in October costs the same in January as it does in June. It doesn’t need a single January mover to exist to pay off, only a friend or coworker who moves next, whenever that turns out to be. The same is true of an operator’s own site: content written and technical fixes made in a slow month accumulate ranking signal for months before the following summer’s search volume arrives. By the time it matters, the work is already finished and compounding, instead of started from zero in April once everyone remembers demand is coming.
Operators already have evidence showing which of these two channels is worth their time. In Supermove’s survey, operators themselves rated referral partners as producing the highest-quality leads of any channel measured, ahead of paid search and every other paid option. That’s not a marketing department’s opinion about referrals. Operators are reporting what converts in their own pipeline. A channel rated the best-converting one in the industry’s own survey also costs the least to run in a month with no real demand to buy against. That makes the trough the cheapest possible time to build it.
That kind of return doesn’t show up on a single month’s P&L, which is exactly why it gets skipped every year. Nobody abandons compounding because they doubt the math. They abandon it because it pays off on a schedule unrelated to the month they’re worried about. An operator tracking what share of revenue comes from demand it actually owns quarter over quarter notices something a gut feeling never catches: the referral asks made in January turn into bookings by August. That operator has a number to point at, not a feeling, the next time trough season tempts the budget back toward buying leads at $556 a job.
“We need the leads now” is a fair objection, and it doesn’t change the math
An operator with three trucks and a slow January isn’t wrong to say a referral program won’t cover next week’s payroll. Cash flow doesn’t wait for a compounding channel to mature. Nobody should walk away from every marketplace lead in the trough just because the per-job cost is worse than June’s. That’s real, and it deserves a real answer instead of a lecture about long-term thinking.
The answer is sequencing, not abstinence: buying enough trough leads to hold survival volume, the leads that still get booked even from a diluted pool, and stopping there instead of doubling the buy to chase a booking count the pool can’t support efficiently. The worked model above shows exactly where the bad trade starts: not the first 40 leads that keep the business solvent, but the next 40 bought on top of them at a worse marginal rate. That second batch’s $2,000, the money that would have bought two more marginal bookings, goes toward a referral push or overdue site work instead. It’s a smaller redirection than it sounds, and it doesn’t touch the leads keeping the lights on.
Supermove’s own numbers show which way most operators lean when costs rise instead: 69% plan to raise prices and 33% plan to spend more on marketing to compensate, both reactive moves that leave next January exactly as expensive. Fewer are redirecting the spend that’s already the worst dollar on the books toward something that gets cheaper to run every year it’s used, instead of something that resets to the same price every winter.
Two Januaries, same operator
A ten-truck operator spent $18,000 on marketplace leads last January, the old way, chasing volume to fill an empty calendar. At the modeled trough rate, that bought roughly 32 booked jobs, an effective cost per booked job of about $560. The following spring, instead of banking that pattern as normal, the operator held the trough lead budget at survival level, roughly $9,000, and put the other $9,000 toward a formal referral ask built into every job’s handover paperwork, plus a few months of overdue work on the company’s own site.
By the next January, the marketplace spend alone bought about 16 bookings, half of what the full $18,000 had bought a year earlier. But the referral program launched the previous spring had been running for nine months by then. It was quietly converting past customers’ friends and family at close to zero marginal cost per booking, the way Supermove’s operators rated it. That added another 22 bookings the marketplace invoice never touched. Total: 38 booked jobs, six more than the year before, for half the marketplace spend. Blending the near-free referral bookings against the marketplace ones, the effective cost per booked job across the whole month worked out under $240, less than half of what the same month cost a year earlier.
Nothing in that scenario required the operator to walk away from marketplace leads. It required treating the trough as the moment to spend the marginal dollar somewhere still paying out the following winter, instead of somewhere that resets to zero the day the invoice clears.
The trough was never optional. What gets bought in it is.
Every operator in Supermove’s survey already plans around the seasonality. That was never the mistake. The mistake is treating whichever month is slowest as a season to survive, when it’s also the one month cheap enough to spend on the future. Seasonality was never really a marketing problem. It’s a behavior problem: patience is cheapest in the months that feel most dangerous, and almost nobody buys patience while they’re scared. The operators who manage it aren’t braver. They decided in June what January would be allowed to do to them.
For most of human history, surviving winter meant one thing: what a household stored at harvest determined whether it starved in February. Agrarian communities that panicked in the lean months and traded next year’s seed grain for this week’s food rarely lasted past a second bad winter. The operators buying hardest into January’s thinnest leads are running the same ancient trade, spending the seed grain of a slow month on food that won’t feed them any better in June.
Movaros builds demand that keeps compounding through the trough.
Building on shared infrastructure means the follow-up and referral systems keep working in January the same way they do in June.
