Sales statistics: the 80% after 5 contacts dates from 1942
I checked eight sales statistics repeated in keynotes, from 80% after the fifth contact to the 78% of reps who sell on social media, and only two have a published study with a method. The rest circulate without a source or with the meaning changed, and the way out is to measure your own operation's rates in the CRM.
The sales statistic most repeated in keynotes, that 80% of sales happen between the fifth and the twelfth contact, is almost always attributed to the National Sales Executive Association, an organization nobody can find online. The closest thing to a document came from that association’s successor, Sales & Marketing Executives International (SMEI), which said in 2021 that it had found in its archives a 1942 survey run by its Long Island, New York chapter with fewer than 40 respondents, without publishing the questionnaire or the data. I checked that number and seven others that circulate in presentations and posts, looking for the original document, the sample, the year and the exact wording of each one. Two have a published study with a method, and both say less than the slides claim; the other six circulate with no traceable source or with their meaning changed. For sales leadership, the practical conclusion is to measure your own operation’s rates in the CRM instead of importing numbers from another era, another country and another kind of sale.
I find these numbers in kickoffs and onboarding materials at many of the companies I work with, justifying twelve-touch cadences, and almost nobody in the room knows what was measured. Numbers already analyzed in other articles of this series, such as the CRM project failure rate, were left out.
How did we check these sales statistics?
For each number, I looked for the oldest document that supports it, preferably the report or paper from the institution that ran the research, and noted the sample, year, method and original wording. The verdict uses three categories. Confirmed means the document exists and says what gets repeated, with the context caveats noted. Distorted means there is an origin, but the sentence in circulation changes the sample, the context or the meaning. No source means I found no document with a method; that does not make the number false, but it prevents any check, and a number nobody can check should not drive targets or training.
Do 80% of sales happen after the 5th follow-up?
The full version says 2% of sales close on the first contact, 3% on the second, 5% on the third, 10% on the fourth and 80% between the fifth and the twelfth. In 2014, journalist Stewart Rogers went looking for the National Sales Executive Association and concluded it did not exist, because he found no website, registration or trace of it (VentureBeat, 2014). In 2021, SMEI replied on its blog that NSEA was a former name of the association itself and that the numbers came from a 1942 survey by the Long Island chapter on the ratio of calls made to sales made; according to the association, “the sample size was less than 40” (SMEI, 2021). SMEI’s history page adds a detail: the association was founded in 1935 as the National Federation of Sales Executives and only took the name National Sales Executives in 1949 (SMEI, history), seven years after the survey that now carries that name.
The verdict is distorted. SMEI did not publish the questionnaire, the respondents or the definition of a contact, and from its description the members reported their own ratio of contacts to sales, which suggests executives’ estimates, with no count of recorded deals. Fewer than 40 executives from one region of the United States, in the middle of World War II, when a sales contact was usually a field rep’s visit, cannot support a rule for B2B selling in 2026. The number also changed shape along the way: the original sequence talks about contacts, and “after five follow-ups” means from the sixth contact onward.
Do 44% of salespeople give up after the first contact?
The second half of the slide says 44% of salespeople give up after the first “no”, 22% after the second, 14% after the third and 12% after the fourth, so 92% stop before the fifth attempt. One of the versions in circulation was written by consultant Robert Clay, who, in the revision published on his website in August 2025, attributes the cascade to a book by Michael LeBoeuf and adds, without a source, that 60% of customers say “no” four times before saying “yes” (Clay, 2025). I could not consult the book, from 1987, and I found no study with a sample that supports the 44%.
The verdict is no source. Even if true, the number would describe other companies, and the useful question is how many contacts your team makes before closing out an account, an answer that sits in the CRM’s activity log.
Does it take 8 attempts to reach a decision maker?
The first version says that in 2007 it took 3.68 attempts to reach a prospect and that “today” it takes eight, attributed to two telemarketing and training firms, TeleNet and Ovation Sales Group. The second talks about 18 dials to connect with a buyer, attributed sometimes to TOPO and sometimes to Gartner, which bought TOPO, a research firm for sales and marketing leaders, in 2019 (Gartner, acquisitions). I found no report, sample, method or date for that “today”, and I did not find the 18 dials in any public Gartner document.
The verdict is no source. Connect rates depend on the list, where the phone number came from, the time of day, the job title and the industry, and a market average would say little about your operation. The prospecting cadence I recommend measures conversions in sequence so that leadership finds its own number.
What is the average lead-to-customer conversion rate?
Three numbers fill this space: fewer than 1% of leads become customers, 79% never turn into sales and 70% are never contacted by sales.
The first comes from a 2023 post in which analyst Simon Daniels wrote that Forrester’s research shows fewer than 1% of leads convert to closed deals, without pointing to a report, sample or method (Forrester, 2023). The same post argues that several leads contribute to a single opportunity and that measuring conversion lead by lead distorts the picture, the opposite of using the number as a benchmark. The institution is identifiable, but the method is not public.
The second is attributed to MarketingSherpa. The closest 79% I found from the institute is a different one: in the 2012 B2B Benchmark Report, with 1,745 marketers, 79% of B2B marketers said they did not use lead scoring (MarketingSherpa, 2012). Around the same time, the institute reported that on average 27% of leads are sales-ready at the moment of conversion (MarketingSherpa, 2012). My hypothesis is that the 79% migrated from a sentence about marketing practice to a sentence about conversion, and I classify the number as distorted.
The third opens a Journal of Marketing paper on the “black hole” of leads that sales reps do not pursue, but the authors take the 70% from industry sources from 2002 and 2009 (Sabnis, Chatterjee, Grewal and Lilien, 2013). What they measured, with 461 reps from four B2B firms, was the time spent on leads: when the perceived quality of lead prequalification rises 1%, that time rises 1.12%, and managerial tracking had a small negative average effect (elasticity of -0.14), with opposite signs across the firms.
Lead conversion depends on the definition of a lead. A content download, a scored MQL and a request for proposal are different entries, and your rate comes from the funnel by cohort, with the lead qualification definition that marketing and sales signed off on; response time has its own analysis in lead response time.
Do salespeople who use social media sell 78% more?
The origin is a 2013 article by Forbes contributor Mark Fidelman about a report from Jim Keenan’s consulting firm. According to the article, in 2012, 78.6% of salespeople using social media to sell outperformed those who were not (Forbes, 2013). The number measures the share of social media users who beat their peers and says nothing about selling 78% more, which is how the sentence often circulates. The article does not report the sample, the data is self-reported, and Fidelman himself acknowledged the numbers might indicate correlation rather than causation.
The verdict is distorted. There is also self-selection: the reps who adopted LinkedIn and Twitter first in 2012 may have been the most organized ones, and they would sell more with or without social media. The same report had a data point that matters to HR: almost 75% of the salespeople said they had received no formal training from their company on social media.
Do only 0.3% of cold calls turn into meetings?
This number has a study with a method. In November 2011, Baylor University’s Keller Center recruited 160 American real estate agents, of whom 50 completed the seven hours of calling required over two weeks (Lampertz, Keller Center, Baylor, 2012). They made 6,264 cold calls, 28% were answered, and the 1,774 answered calls produced 19 appointments and 11 referrals; the 19 appointments give the 0.3% in circulation.
The verdict is confirmed, used out of context. The study covers real estate agents, and the author reached the opposite conclusion from the slide: about 7.5 hours of calling per qualified appointment or referral, a return he considered strong. In a high-ticket B2B sale, seven and a half hours per meeting can be a good deal, and the math only works when you cross the cost of an SDR hour with the conversion of meetings into sales.
Are 95% of B2B buyers out of the market?
In 2021, Professor John Dawes, of the Ehrenberg-Bass Institute, published the 95-5 rule in a document written for LinkedIn (Dawes, 2021). The reasoning starts from the interpurchase time: if companies change their main bank or law firm about once every five years, 20% are in the market over a year and something like 5% in a quarter. The author writes that the 95% is not meant to be a precise rule, works as a heuristic, and shows how to do the math for each category: with two years between purchases, about 13% of buyers are in the market each quarter.
The verdict is confirmed as a heuristic, with no value as a measurement. The document came out through a company that sells advertising and the argument favors brand investment, but the logic is transparent and checkable. The “buyer pyramid”, which keynotes use to say that only 3% of the market is ready to buy, has no study with a sample that I could find. Dawes, by contrast, hands you the method to swap his number for yours.
Verdict table for sales statistics
| Statistic in circulation | Common attribution | What I found | Sample and year | Verdict |
|---|---|---|---|---|
| 80% of sales between the 5th and 12th contact | National Sales Executive Association | Survey cited by SMEI, no document | Under 40, 1942 | Distorted |
| 44% give up after the first contact | NSEA, sales consultants | Attributed to a book with no research cited | Not reported | No source |
| 8 attempts (or 18 dials) to reach the decision maker | TeleNet and Ovation, TOPO, Gartner | No report found | Not reported | No source |
| Fewer than 1% of leads become customers | Forrester | Analyst post with no method | Not reported, 2023 | No public method |
| 79% of leads never turn into sales | MarketingSherpa | The 79% measures who does not use lead scoring | 1,745 marketers, 2012 | Distorted |
| Social media users sell 78% more | Forbes, Jim Keenan | 78.6% of users beat their peers | Not reported, 2012 | Distorted |
| 0.3% of cold calls become meetings | Baylor University | Study with real estate agents | 50 agents, 2011 | Confirmed, out of context |
| 95% of B2B buyers out of the market | John Dawes | Heuristic based on interpurchase time | No sample, 2021 | Confirmed as a heuristic |
Summary table of the research cited
| Source | Year | Sample and method | Main finding |
|---|---|---|---|
| SMEI | 2021, on a 1942 survey | Members of one regional chapter, fewer than 40, document not published | Stated origin of the sequence ending in 80% |
| Sabnis, Chatterjee, Grewal and Lilien, Journal of Marketing | 2013 | Questionnaire with 461 reps from four B2B firms | Better prequalification increases time spent on marketing leads |
| MarketingSherpa, B2B Benchmark Report | 2012 | Survey of 1,745 marketers | 79% did not use lead scoring |
| Forrester | 2023 | Analyst post, no sample disclosed | Fewer than 1% of leads become closed deals |
| Lampertz, Keller Center, Baylor | 2012 | 50 agents, 6,264 calls over two weeks | 19 appointments and 11 referrals; 7.5 hours per result |
| Dawes, Ehrenberg-Bass Institute | 2021 | Heuristic based on interpurchase time | About 5% of buyers in the market per quarter |
| Forbes, on Jim Keenan’s report | 2013 | Consulting survey, sample not reported | 78.6% of social media users beat their peers |
How do you measure your own operation’s rates in the CRM?
Each imported statistic answers a question your CRM can already answer, as long as the team logs activities and uses the same definitions. The table below is the swap I propose to leadership teams. The reports live in the sales dashboard, and the definitions follow the glossary described in RevOps metrics.
| Imported number | Your own measure | How to calculate | What the CRM needs to record |
|---|---|---|---|
| 80% after the 5th contact | Contacts to the sale | Contacts logged before the opportunity, in a year of won deals | Activities with date and channel, linked to the deal |
| 44% give up early | Touches before close-out | Median touches per account closed with no reply, by SDR | Close-out reason from a fixed list |
| 8 attempts to the decision maker | Connect rate | Calls answered by the right contact over calls made | Call outcome and contact’s job title |
| Fewer than 1% of leads | Cohort conversion | Customers won over leads that came in the same month, by source | Lead source and stage change dates |
| 0.3% of cold calls | Hours per accepted meeting | Prospecting hours over accepted meetings and won deals | Meeting booked, held and accepted |
| 95% out of the market | Interpurchase time | Median months between purchases or renewals in the base | Purchase, renewal and vendor switch dates |
Two conditions make these measures reliable. The first is volume: a quarter with 15 won deals cannot support a distribution by number of contacts, and I prefer a year of data or similar segments grouped together. The second is logging: if the team calls from their phones and does not log it, the CRM counts fewer contacts than happened, and leadership concludes the team gives up early when the problem is the data.
What these data do not tell us
Not finding a number’s source on the open internet does not prove it does not exist. Paid reports, out-of-print books and association archives may hold documents I did not consult, such as the book cited for the 44%. Nor can we conclude that persistence does not work: no source I found measured, with a current B2B sample, how many contacts lead to a sale, and the question still has no reliable public answer.
The two studies with a method have a narrow reach. Baylor’s covers American real estate agents over two weeks in 2011, and the one by Sabnis and colleagues depends on time the reps estimated themselves, with self-report bias. The 95-5 rule is reasoning with no sample. None of the sources was produced in Brazil, where WhatsApp sits in the middle of the process and the cycle feels exchange rates and credit, and where there is association, as with social media, there is no proof of cause.
What leadership does with these numbers
- Inventory the numbers in use. Collect the statistics in the playbook, onboarding, kickoffs and vendor proposals, with the source each one cites.
- Apply the verdict. Remove from internal material whatever has no source or is distorted, or keep it with the caveat written next to it.
- Choose the replacement measures. Start with contacts to the sale, connect rate by channel and cohort conversion, which answer the questions used to hold the team accountable.
- Fix logging before measuring. Calls, emails and messages go into the CRM with date, channel and outcome, and the close-out reason uses a fixed list.
- Calculate the baseline with a year of data. Run the measures by segment, channel and SDR, and flag the cuts with few deals.
- Bring your own numbers into the routine. Use them in the weekly pre-sales meeting and in the quarterly cadence review.
Sales statistics and L&D: what HR needs to assess
The most common sign shows up in training material: slides presenting the 80% after the fifth contact or the 78% of social media as a rule, and SDR activity targets set by a number of touches unrelated to the conversion measured in the company. The participants are pre-sales and sales managers, who use these numbers to hold the team accountable, the operations or CRM person, who builds the reports, and marketing, which shares the lead definition with sales. To measure, record before the program how many unsourced statistics appear in internal material and, after a quarter, whether the playbook and targets now use the operation’s numbers.
If your company’s playbook still leans on keynote numbers and leadership wants prospecting and follow-up targets based on the team’s real conversion, that is the work of the in-company consultative selling training. I run the program with SDRs, account executives and managers on your CRM data, and the group leaves with the consultative selling playbook, with cadence and targets calibrated to the operation’s rates, and with the needs discovery framework that gives substance to every contact in the sequence.
Frequently asked questions
Is it true that 80% of sales happen after the fifth contact?
The only origin found is a 1942 survey by a regional chapter of the association now called SMEI, with fewer than 40 respondents and no published document. It does not support a rule for today’s B2B sales. The distribution of contacts in your CRM’s won deals answers the question better.
Does the National Sales Executive Association exist?
In 2014, VentureBeat searched and found no record of an organization with that exact name. SMEI states that National Sales Executives was one of its former names, adopted in 1949, and that the sequence of numbers came from an internal 1942 survey.
What is the average lead-to-customer conversion rate?
I found no average with a public method that works as a reference. Forrester mentions fewer than 1% of leads becoming deals, without disclosing the method, and conversion changes with the definition of a lead. Calculate yours by entry cohort and by source, with the definition that marketing and sales signed off on.
How many follow-ups should a prospecting cadence have?
There is no reliable universal number. Start with a two to three week cadence and measure, after two cycles, at which touch and on which channel the replies come in. The right number for your team comes from that data.
Does cold calling still work in B2B sales?
The most cited study, from Baylor University, covered real estate agents and found 19 appointments in 6,264 calls, a return the author considered good for the time invested. In B2B sales, compare SDR hours per accepted meeting with the value of the sales those meetings generate.
How do you prepare the team to use sales data with judgment?
Train managers and reps on the company’s CRM reports, with the operation’s own numbers, and teach the four checking questions before any statistic goes on a slide. Review onboarding material to remove unsourced numbers and replace each one with the matching in-house measure.
Want to bring this to your team?
In the in-company Consultative Selling training, the team practices with the meetings and objections of its own operation and leaves with the playbook and the needs discovery framework.
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