Why the Fastest Quote Wins Even When It's Not the Best Offer
About 77% of mortgage borrowers apply to only one lender. The behavioural mechanisms behind that, and how much of the research transfers to lending.
Alfred BEditorial Reviews
A borrower who gets a complete, priced answer on Tuesday rarely goes looking for a second one on Wednesday. That is not laziness. It is what a finished answer does to the search that would have followed it.
The fastest quote wins in lending because the first complete offer does three things at once: it sets the reference point every later number is judged against, it removes the reason to keep searching, and it sits on top of effort the applicant has already spent with that lender. None of the three requires careless behaviour.
Each mechanism transfers to lending with different confidence.
How many borrowers compare offers at all?
The US Consumer Financial Protection Bureau's January 2015 report, Consumers' Mortgage Shopping Experience, found that about 77 percent of borrowers applied to only one lender, and that almost half of consumers who took out a home purchase mortgage seriously considered only a single lender or broker before applying. The figures come from the National Survey of Mortgage Borrowers, fielded in early 2014 among borrowers who financed a purchase in 2013.
Sit with the size of that decision. A mortgage is the largest priced commitment most households ever sign. If comparison is that thin there, expect it thinner on a five-year auto loan.
Knowledge moves the number. The same Consumer Financial Protection Bureau report found consumers confident about available interest rates were almost twice as likely to shop as those unfamiliar with them.
The pattern is not only American. The UK Financial Conduct Authority, announcing interim findings from its Mortgages Market Study in May 2018, reported around 30 percent of customers fail to find the cheapest mortgage for them.
What does the first number do to the numbers after it?
Anchoring is the tendency for a judgment to stay near whatever value came first, even when that value carries no information.
Amos Tversky and Daniel Kahneman established the effect in Judgment under Uncertainty: Heuristics and Biases, published in Science on 27 September 1974. A wheel of fortune produced an arbitrary number before participants estimated the percentage of African countries in the United Nations. Median estimates were 25 and 45 for the groups given 10 and 65. A number carrying no information moved the answer by twenty points.
Care is required here. That is a laboratory finding about numerical estimation, not a measurement of loan shopping. The direction transfers: a borrower who has seen 11.9 percent and a $612 payment evaluates the next offer against those figures rather than against the market. Magnitude does not. As far as we can find, no published study has tested how far a first credit quote moves a borrower's read of the second.
Why does one complete answer end the search?
Continuing to shop is not free, and the price is the applicant's own time.
A second application means another identity flow, another set of pay documents, another bank connection, another consent, another inquiry. Holding an offer while doing it changes the frame from "find a lender" to "beat this." William Samuelson and Richard Zeckhauser documented how heavily that framing weighs in Status Quo Bias in Decision Making, published in the Journal of Risk and Uncertainty in 1988. Their Harvard health plan data showed longtime enrollees choosing the original plan at two to four times the rate of new hires facing the same menu.
An offer in hand is not literally a status quo; the borrower has not accepted it. The inference is that it functions like one, the option kept unless something displaces it. Reasonable, and not measured.
Does effort already spent hold a file in place?
Hal Arkes and Catherine Blumer named the sunk cost effect in The Psychology of Sunk Cost, published in Organizational Behavior and Human Decision Processes in 1985. Their field study sold theatre season tickets at three randomly assigned prices, and buyers who paid less attended fewer performances.
That field result has been examined since. Sandeep Baliga and Jeffrey Ely, writing in the American Economic Journal: Microeconomics in 2011, noted the ticket study is open to a selection explanation, since discount buyers may have had a lower appetite for theatre. The broader sunk cost literature is large; this demonstration is contested. Sunk effort is the mechanism most often asserted in lending and the one with the least settled evidence behind it.
Applied to intake, the logic holds even where the psychology is arguable. By the time an applicant has connected a bank account, uploaded two documents and answered income questions, that effort belongs to one file at one lender. Starting again restores none of it. That is the part a lender controls.
What each mechanism predicts, and how confidently it carries into a live credit file:
| Mechanism | Primary source | What it predicts in a credit file | Confidence in the transfer |
|---|---|---|---|
| Anchoring | Tversky and Kahneman, Science, 1974 | Later offers are judged against the first quote's rate and payment | Direction plausible, magnitude untested in lending |
| Search cost | CFPB mortgage shopping data, 2015 | Search stops once one complete, priced answer exists | Directly observed in mortgage shopping behaviour |
| Status quo preference | Samuelson and Zeckhauser, 1988 | The offer in hand becomes the option everything else is compared to | Strong in field settings, not tested on loan offers |
| Sunk effort | Arkes and Blumer, 1985 | Documents and connections already given raise the cost of restarting | Contested interpretation, weakest of the four |
Where does speed actually pay for the lender?
Response speed has been measured most precisely outside credit. James Oldroyd, Kristina McElheran and David Elkington reported in Harvard Business Review in March 2011 that across 1.25 million sales leads at 29 business-to-consumer and 13 business-to-business companies, firms trying to contact a prospect within an hour were nearly seven times as likely to qualify the lead as those trying an hour later, and more than 60 times as likely as those waiting a day.
That research measures sales contact, not credit decisions, and the multiples do not transfer. The useful part is the curve's shape. Advantage concentrates early and decays fast.
Borrowers say something consistent when asked. The Federal Reserve Banks' 2020 Small Business Credit Survey report on employer firms, published April 2020 from a survey fielded in late 2019, found the chances of being funded and the speed of credit decisions are top reasons firms apply to online lenders. The Federal Reserve Bank of Cleveland's August 2022 report Clicking for Credit noted that past survey findings indicate applicants prioritize speed as the highest-ranked factor in that decision.
Now the opinion a committee would soften. Response time is the wrong metric to manage. What decides these files is time to a decidable file, the moment income, identity and obligations are verified well enough for a real answer. A lender that replies in four minutes and then asks for a void cheque on Thursday was prompt once, then slow where it counted.
What we don't know
The mechanisms are documented separately and have never been decomposed in a lending setting. No published work we can find splits the first-offer advantage across anchoring, search cost and sunk effort, so their relative weights are unknown.
Three more gaps. No controlled study exists of how a first credit quote anchors a borrower's evaluation of the second. The Consumer Financial Protection Bureau shopping figures describe US mortgages originated in 2013, and we have found no Canadian equivalent. And the sunk cost field evidence is contested rather than settled.
All three are measurable, and lenders hold the data.
Common questions
Why does the fastest quote win in lending even when it is not the cheapest?
Three mechanisms overlap. The first complete offer becomes the reference point for later ones, continued search costs the applicant time and documents, and effort already spent sits with that lender. The US Consumer Financial Protection Bureau found in January 2015 that 77 percent of mortgage borrowers applied to one lender.
What is anchoring, and does it apply to loan pricing?
Anchoring is the tendency for a judgment to stay close to whatever value was considered first. Amos Tversky and Daniel Kahneman documented it in Science in September 1974 using arbitrary starting numbers. Whether a first loan quote anchors a borrower measurably has not, as far as we can find, been tested.
How many mortgage borrowers compare more than one lender?
The US Consumer Financial Protection Bureau reported in January 2015, using the National Survey of Mortgage Borrowers, that about 77 percent of borrowers applied to only one lender and almost half seriously considered a single lender or broker. The data covers home purchase mortgages taken out in 2013.
Does speed matter more than price to borrowers?
Not universally. The Federal Reserve Banks' 2020 Small Business Credit Survey report on employer firms, published April 2020, found chances of being funded and speed of credit decisions are top reasons firms apply to online lenders. Reasons differed by lender type, so speed is not a constant.
What does a lender gain by responding first?
Research by James Oldroyd, Kristina McElheran and David Elkington, published in Harvard Business Review in March 2011, found firms contacting a query within an hour were nearly seven times as likely to qualify the lead as those waiting an hour longer. That measures contact, not credit approval.
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