Nobody Wants to Buy a Move

Nobody browses movers the way they browse anything they want to buy. A move gets bought once every five to seven years, usually because something else forced it: a job, a lease ending, a death, a divorce, a baby who needs a second bedroom. Marketers have a name for a purchase like that: a grudge buy, something a person needs and resents needing at the same time, bought with roughly the enthusiasm of a root canal.

A hand resting on blank paper beside a steaming coffee cup and desk lamp in warm evening light

The industry has its own favorite statistic about this, repeated in press releases and real estate blogs for years: that moving house is more stressful than divorce, more stressful than having a child, sometimes the single most stressful thing a person will do. The claim is popular. Its source is worth checking. Every version traceable online comes from consumer polling commissioned by moving and relocation companies, not from peer-reviewed research on stress.

The actual academic literature tells a smaller, more useful story. Psychiatrists Thomas Holmes and Richard Rahe built the Social Readjustment Rating Scale in 1967 from thousands of patient records to weigh how much life change different events demand. On that scale, a change of residence carries 20 life change units. Divorce carries 73. Death of a spouse carries 100. Moving alone doesn’t even reach the scale’s midpoint.

But Holmes and Rahe built their scale to be summed, not read one line at a time. A move rarely arrives alone. It typically travels with a change in job (36 units), a change in financial state (38), sometimes a new family member or the divorce that caused the move in the first place. Stacking three or four of those in the same season pushes the combined total into the range the two researchers associated with a measurably elevated health risk over the following two years. The honest version of the stressful-move claim has nothing to do with moving being uniquely catastrophic on its own. Moving is rarely the only thing happening. A sales process that only sees the move has no visibility into everything else stacked on top of it.

That’s the state a customer is usually in when six quotes land in an inbox: not necessarily in crisis, but in the middle of a genuine pile-up of simultaneous change, asked to make a judgment call about strangers. The line items all look about the same.

A good you can’t judge until it’s over

Economists have a specific term for a purchase like that. Michael Darby and Edi Karni described three categories of goods in a 1973 paper, sorted by when a buyer can judge quality. A search good, produce at a grocery store, lets a buyer assess quality before paying, just by looking. An experience good, a restaurant meal, requires consuming it once to know. A credence good is the hard case: the buyer often can’t judge quality even after paying and receiving the service, because they lack the expertise to tell a bad outcome from bad luck. Darby and Karni built the term around car repair and medicine, the two clearest examples of a seller who knows more about what’s wrong than the buyer ever will.

A move is a credence good with a truck attached. A customer comparing six quotes for the same three-bedroom interstate job is looking at numbers that appear identical on a screen. Almost nothing in those numbers shows which crew will wrap the good furniture properly, which will hit every delivery window, and which will find a reason to add three hundred dollars once the truck is already loaded. A customer can’t sample it in advance the way they’d taste a jam before buying the jar. Whatever they bought, they find out after it’s too late to choose differently.

A price-only marketplace treats a credence good as if it were a search good: line up the numbers, pick the lowest one, done. That isn’t a rounding error in an otherwise sound model. It’s a category mistake. The model prices the one thing a customer can compare, a number on a screen, while staying blind to the thing they can’t: whether that number represents the outcome they’re afraid of not getting.

What stress does to attention

A second layer sits under the economics, and it’s psychological rather than structural. Even when a customer understands, in the abstract, that price isn’t the whole story, they’ll still default to it under enough pressure. Pressure does that to attention generally, not just to movers.

Emotional arousal narrows attention. The psychologist J. A. Easterbrook described the mechanism in 1959. As stress rises, the range of cues a person can usefully process shrinks toward whatever feels most central and most immediately actionable, while everything peripheral, however relevant, drops out of view. Sendhil Mullainathan, Eldar Shafir and their co-authors found the same narrowing under any kind of shortage, not just money, in a 2013 study on scarcity published in the journal Science. People short on time or bandwidth showed measurably reduced cognitive function on tasks entirely unrelated to the thing they were short on. The researchers called it a bandwidth tax, because simply managing the shortage consumes the capacity a person would otherwise use to think clearly about anything else.

Here’s the actual week a move usually happens in. Three weeks’ notice on a relocation. A lease to break, a new one to sign sight unseen, a school to coordinate, a job that doesn’t pause for any of it. Six quotes arrive somewhere in the middle of that week, each one a wall of line items: packing materials, valuation coverage, fuel surcharges, and the binding-or-not fine print. Comparing all of that carefully would take real, focused attention. So little is left by the time the quotes land that the eye goes straight to the one number every quote shares and that takes no expertise at all to compare: the total at the bottom.

A related finding explains why the customer doesn’t just narrow toward price, but also rushes to end the search altogether. Starting in the 1990s, the psychologist Arie Kruglanski documented what he called the need for cognitive closure: a preference, sharpened by uncertainty and discomfort, for any firm answer over the continued discomfort of an open question. Under high closure need, people search less thoroughly and seize the first tolerable answer rather than keep looking, even when more looking would serve them. Someone drowning in an open decision doesn’t only narrow toward the cheapest number. They also want the whole decision to be over. Picking a number is the fastest way to make an open question feel closed.

More quotes, worse decisions

Price-anchoring under stress explains why a customer defaults to the cheapest number. A separate, well-documented finding explains why handing them more of those numbers doesn’t help.

One of the most cited experiments in consumer psychology came from the psychologists Sheena Iyengar and Mark Lepper in 2000. At an upscale grocery store, they set up a tasting table on alternating days: a limited display of six jam flavors on one, an extensive display of twenty-four on the other. The larger display drew more browsers: sixty percent of passing shoppers stopped, against forty percent at the smaller table. It converted far fewer of them into buyers. Only three percent of tasters at the twenty-four-jam table bought a jar. Thirty percent of tasters at the six-jam table did. More options didn’t produce more confident buyers. It produced more people who walked away having decided nothing.

The marketing scholar Henry Assael mapped how consumers behave across different kinds of purchases and named the exact profile a move fits: high involvement, meaning the stakes and the cost of a wrong call both feel real, combined with low perceived differentiation, meaning the buyer genuinely can’t tell the options apart. Assael’s label for that combination is dissonance-reducing buying behavior. It comes with a predictable symptom: heavy post-purchase doubt and a real appetite for reassurance afterward, because the buyer never got the confidence beforehand that the choice was even distinguishable from the alternatives.

Without meaning to, a marketplace that proudly advertises six comparable quotes has built close to the exact condition Iyengar and Lepper found performs worst. Assael’s finding makes it worse, not better. Those six quotes aren’t meaningfully differentiated to the person reading them, because, as established above, they can’t judge the one thing that differs: the execution. Six indistinguishable options combine the choice-overload condition and the dissonance-reducing condition on exactly the purchase where getting it wrong is expensive and hard to undo.

The same pressure that narrows a buyer’s attention changes what the estimate call itself has to do: what stress does to a careful reader is the other half of this argument.

What compression costs

The instinct when a sale runs slow and uncertain is to speed it up: answer faster, quote faster, push for a decision before the customer can shop around. Some of that is good practice. Past a point, though, compressing a genuinely complex decision doesn’t make a customer more decisive. It makes them default.

The researchers Jonathan Levav, Mark Heitmann, Andreas Herrmann and Sheena Iyengar ran a field experiment in 2010 with real buyers ordering custom cars and suits at real German dealerships. Customers worked through dozens of sequential choices: four styles of gearshift knob, thirteen wheel rim options, dozens of engine and gearbox configurations, fifty-six interior colors. The researchers placed the most complex decisions, the ones with the most sub-options, early in the sequence, before fatigue had set in. Customers who saw that order engaged with them properly and customized more. When the researchers pushed those same complex decisions toward the end of a long sequence, after fatigue had built up over the easier early choices, customers increasingly just took the default and spent less. The order changed what people bought, not because the options changed, but because fatigue decides whether a customer is still choosing by the time the decision that matters most finally arrives.

A rushed moving quote reproduces the losing sequence on purpose. An estimator racing to close before the customer can shop the competition ends up pushing the decisions that matter toward the fatigued end of the call: coverage limits, what happens if a delivery window slips, whether the binding estimate truly binds. That’s exactly where a stressed, bandwidth-taxed customer is most likely to default rather than decide. The yes that comes out the other end looks like a closed sale. Often it’s a default nobody actually chose. Defaults don’t hold up the way decisions do, not once the customer’s attention returns to normal and they reread the fine print with a clearer head. That’s the mechanism behind something already true of this business: the quote dies anyway, later, quietly, without ever telling anyone why. It was rarely the price. It was a default wearing off.

Fast response isn’t the same as a fast close

An operator reading all of this has a fair objection: the data on speed is real too, and it points the other way. James Oldroyd, Kristina McElheran and David Elkington published a widely cited 2011 study in Harvard Business Review on how quickly companies responded to inbound sales inquiries. Reaching an enquirer inside the first hour made a firm nearly seven times likelier to qualify the lead than waiting a single hour more; let a full day pass, and the odds fell more than sixtyfold. Close to four in five sales went to whichever company responded first. That finding isn’t in dispute, and it doesn’t argue against anything in this piece.

What that research measures is response latency: how long a customer waits before anyone picks up the phone. What this piece argues against is decision compression: how much time a customer gets, once someone is on the phone with them, to work through a choice they can’t fully evaluate on price alone. Those are two different clocks. A sales process that confuses them tends to get the trade wrong in both directions: slow to show up, then rushing once it finally does. The fix isn’t a slower response. It’s answering immediately, then giving the later, harder conversation all the time it genuinely requires. That conversation involves a credence good, bought under a bandwidth tax, by someone whose attention has already narrowed to a single number.

Movaros builds the reassurance this decision actually needs.

Building on shared infrastructure means the follow-up and estimate process is built for a buyer who can’t judge quality until it’s over.

See how building on Movaros works

Selling certainty, not cubic feet

What does that slower conversation contain? Here’s a woman moving her mother out of a house the family has owned for forty years, into a two-bedroom apartment near the mother’s new doctor. The move itself is routine by any operational measure: one truck, one crew, a few hours of driving. What the daughter is anxious about doesn’t show up on a cubic-footage estimate at all: whether the crew will be careful with a piano nobody plays but nobody can bring themselves to sell, whether they’ll understand why half the boxes are labeled in her late father’s handwriting and shouldn’t be repacked or relabeled, and whether the delivery window will hold, because her mother can’t manage two nights in a hotel at eighty-four.

None of that sits on a quote sheet. An estimator hitting call volume, reciting cubic feet and valuation tiers on autopilot, will miss every one of those signals and produce a technically accurate number that doesn’t answer the real question. An estimator who asks what she’s worried about, and answers it honestly, does more than provide customer service. That estimator sells the only thing she can verify in advance. She’s buying a credence good, Darby and Karni’s category, still holding here, so she can’t judge the quality of the execution before it happens, and often can’t fully judge it afterward either. The conversation is close to the only real signal she gets before she has to commit. Given what she can and can’t know in advance, reassurance is the most rational thing she has to go on, not a soft extra bolted onto the sale.

What your close rate can’t tell you

A sales dashboard can show how fast a quote closed. It has no column for whether the customer who said yes on Tuesday still believes it by Friday, once the adrenaline of the moving week has faded and their attention, no longer taxed by a dozen competing deadlines, comes back around to reread what they agreed to. That number, the one nobody’s built a report for, decides whether the sale holds.

Every mechanism here points the same direction. The purchase is a credence good, not a commodity. The buyer’s attention is narrowed and closure-hungry, not lazy or indecisive. Six comparable options reliably produce worse decisions than fewer, better-explained ones. A compressed decision produces a default, not a choice. Taken together, these mechanisms point toward two specific, separate disciplines: spending speed where the research says it pays off, on how fast someone answers the phone, and protecting time where the research says it’s needed, on how long the person on the other end gets to decide.

A sales process built to close fast is optimizing against the psychology of the person it’s trying to close. A sales process built to survive the Friday reread is optimizing for the only thing that was ever being sold.

For most of our species’ history, deciding whom to trust with something irreplaceable wasn’t a written contract question at all. It was a face a person recognized, a name a neighbor could vouch for, a reputation built over years in a village too small to fake one. Modern life scattered those small trusted circles across cities and time zones, leaving only the size of the circle changed, not the need for one. A moving estimate call is one of the last places a stranger is still asked to extend that older kind of trust to another stranger inside a single phone call. What replaces a village’s memory when the two people on the line have never met and never will again?

Raphaël Rocher
Raphaël leads operations at Movaros. He has spent more than eight years leading cross-discipline teams around the world, and is a people manager by instinct as much as by title. He writes about how operational reality meets commercial ambition, and what actually happens once work is won.
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