Sales Call Reluctance: What the Evidence Says

Search sales call reluctance and you will meet the same number inside two clicks. The average call reluctant salesperson misses 15.25 pieces of new business every month. Two decimal places. No sample size, no date, no study attached to it.

We build the dialer, CRM, and coaching tools that outbound teams run their day on, so we see this problem in call logs rather than in a survey. It is real. Reps who want the job and know the product still sit there at 9:15 with a full list and no active call.

This post does two things. It traces where the famous numbers came from, because a manager quoting them deserves to know. Then it lays out what has actual evidence behind it, and what the gap looks like in your own dialer data.

What is sales call reluctance?

Sales call reluctance is the distance between intending to prospect and doing it. It shows up as list grooming, one more research tab, a CRM tidy-up, and a quiet decision that 9:12 is a bad time to call anybody.

The phrase is not generic vocabulary. Call Reluctance is a registered trademark of Behavioral Sciences Research Press, a firm in Flower Mound, Texas. Its founders, George Dudley and Shannon Goodson, wrote the source book on the subject, and the company sells an assessment called SPQ*GOLD that scores a person across a set of avoidance types.

Give them credit first, because they earned it. They named something every sales manager has watched happen and could not describe. Their taxonomy of avoidance types is genuinely useful language. A rep who over-prepares is doing something different from a rep who will not ask a friend for a referral, and treating both with the same pep talk fails both. That distinction came from this work.

The trouble is that the vocabulary travelled with a set of statistics, and the statistics got loose.

Where do the sales call reluctance statistics come from?

Three figures do most of the work in this category. All three sit on one page, and it is the assessment publisher's own explainer. Here they are as published, retrieved 15 September 2026 from the page they appear on:

• The average call reluctant salesperson misses 15.25 pieces of new business each month, attributed to "our research".
• Up to 80 percent of new salespeople fail within their first year, because they do not have enough prospective buyers.
• 40 percent of veteran sales professionals admit to at least one episode of call fear severe enough to threaten their career in sales.

None of the three carries a sample size, a date, a definition, or a link to the specific study behind it. The page points to a research archive in general terms. That may well be solid work. It is still not a citation, and a number without a sample and a date is a claim rather than a finding.

One line on that same page checks itself. Right after the 40 percent veteran figure, the text says that just under half of all salespeople may be at risk. Forty percent is not just under half, and veteran professionals are not all salespeople. It is a small slip. It happens to be on the page every other article is copying from.

You will also meet a claim that around 90 percent of salespeople have experienced some form of call reluctance. Trace it and you land in the same neighbourhood.

Here is the practical rule. Treat these as a vendor's marketing figures, not as benchmarks. They are fine as a conversation starter in a team meeting. Keep them out of your board deck, out of your business case, and out of any argument where somebody might ask you where the number came from.

Does the call reluctance assessment tell you anything?

SPQ*GOLD scores a person across up to 16 types of call reluctance. The construct, the book, the trademark, and the test all come from the same house. That is not disqualifying. Plenty of good instruments are published by their authors. It does mean that almost everything you can read about it was written by the party selling it, and a search for independent validation mostly returns resellers and content sites rather than reviews.

So if you are considering seats for a team, ask for four things in writing before you buy:

• A technical manual with reliability coefficients and a description of the samples they came from.
• Any independently published validation, ideally peer reviewed, that the publisher did not fund.
• Criterion validity against a behaviour you can see, such as dials, conversations held, or meetings booked, rather than against another questionnaire.
• Adverse impact data, if a score will ever influence who gets hired or promoted.

That last one carries weight. In the United States, a test used to make employment decisions is a selection procedure, and selection procedures fall under the federal guidelines at 29 CFR Part 1607. Nobody on page one mentions this. Read it as a reason to talk to your employment counsel before a questionnaire score reaches a hiring file, not as legal advice from us.

Used as a coaching conversation starter with a rep who volunteers for it, a reluctance assessment is a reasonable tool. Used as a filter on candidates, it is a different animal with different obligations.

What actually closes the gap between intending to call and calling?

Most of page one lands on the same advice. Reframe the job. You are a helper offering a solution, so there is nothing to fear. Then some desensitisation through repetition, and some mock calls.

The repetition part is sound. The reframe is aimed at the wrong target. Your reps already believe the product helps people. They intend to call. The gap is between intention and action, and attitude work rarely touches it.

The strongest evidence we can find for closing that specific gap is a technique called an implementation intention: a written if-then plan that names when, where, and how you will act. A meta-analysis by Gollwitzer and Sheeran, published in Advances in Experimental Social Psychology volume 38 in 2006, pooled 94 independent tests and reported a medium to large effect on goal attainment, d = .65.

Two honest cautions before you go and build a program on it. Those tests were mostly health and academic behaviours, not cold calls, so the transfer to a sales floor is an assumption rather than a finding. And a 2006 meta-analysis predates the publication bias corrections that are standard now, so .65 is the optimistic end of the range. Treat it as a well supported direction, not a promised number.

What it looks like on a real desk. The plan has to name a trigger and an action, in the rep's own words, written down:

• If it is 9:00 and I am at my desk, then I open the dial session before I open email.
• If I finish a call, then I start the next one before I write the note.
• If I want to research one more contact, then I dial first and research after that call ends.
• If a prospect says send me something, then I agree and ask one question before we hang up.

"Call more in the morning" is a goal. It is not a plan, and it will not survive a Tuesday. Two written triggers per rep beats a list of ten.

What does call reluctance look like in your dialer data?

Dials per day is the wrong measure, because it is the number a rep can manage. Somebody who dreads conversations can still hit a dial target by calling the numbers least likely to answer.

Reluctance lives in the seconds after one call ends and before the next one starts. So measure that instead:

• Median seconds between the end of a call and the start of the next, per rep.
• Wrap-up time broken out by disposition. A long, careful note on a no-answer is avoidance in a nice suit.
• The clock time a rep starts their first session, compared with their shift start.
• Count and length of pauses during a dialing session.
• Share of dials going to the warm list versus the cold one.

Compare each rep against their own last two weeks rather than the floor average. Lists differ, territories differ, and the average rep on your floor does not exist.

There is a mechanical reason a dialer helps here, and it is worth stating plainly because it is often oversold. A power or predictive dialer removes the pause where the decision to make the next call gets made. The next call is already ringing. That is the honest explanation for why dial counts jump when a team stops dialing by hand, and it is real relief for someone who hesitates between calls.

It also relocates the problem rather than solving it. The same rep can pause the session, stretch a disposition, or stay on a conversation that is going nowhere to put off starting a fresh one. Dial counts can look healthy while the quality of conversations quietly falls, which is why the count belongs next to a sales call scorecard rather than on its own.

And not every gap in the data is a behaviour. Our predictive dialer runs one to three lines per rep, so pacing changes what a shift feels like. Calling hours are enforced from 9am to 9pm in the contact's local time, corrected for daylight saving, with a per-campaign override, and a contact outside the window is deferred to the next compliant moment rather than skipped, so a list weighted toward one time zone changes the rhythm on its own. Answering machine detection works against a hard decision deadline and defaults to machine when it cannot decide in time, so voicemail and no-answer counts are not a clean readout of anything a rep did.

Know which of your numbers describe a person and which describe the system. Our post on sales calls per day goes further into which dialing metrics survive scrutiny.

What should a sales manager do about it this week?

1. Stop quoting 15.25. Pull your own number instead: median gap between calls, per rep, for the last two weeks.
2. Take the rep with the widest gap and ask what happens in those minutes. Ask. Do not diagnose, and do not open with the data.
3. Write two if-then plans with them, in their words, on one card that sits on the desk.
4. Remove one source of friction for two weeks. The list, the research step, the note taking. Whichever they name.
5. Re-measure the same number in two weeks. If the gap closed and conversation quality held, keep going. If dials rose and conversations got worse, you moved the problem.

Two things worth separating while you do this. Plenty of what gets called reluctance is ordinary avoidance of an unpleasant task, and a manager can help with that. Some of it is real anxiety that shows up in a person's sleep and chest and does not respond to an index card. If a rep's distress looks persistent and out of proportion, that belongs in a health conversation with a professional, not in a performance plan. Knowing the difference is part of the job.

The useful part of this whole category is the idea that avoidance has types and each type needs a different answer. Keep that. The numbers stapled to it were never yours. Handling cold call objections gets easier once the calls are actually happening, and getting them happening starts with measuring your own floor instead of somebody's brochure.

If you want the dial data, the coaching, and the CRM in one place rather than stitched across four tools, you can start a free trial and look at your own gap numbers this week.