Where do these sales and social media rules come from?
Two of the four have a named, dated source we could open; one has no clear origin we could find, and one we could not even find defined. None of the sources we found cites a study behind its numbers. Here is what each claims and the earliest source we could open, checked 20 October 2026:
| Rule | What it claims | Earliest source we could open | Evidence behind it |
|---|---|---|---|
| 4-1-1 | For every self-serving post, share four new pieces of content and one re-share | OpenView Venture Partners blog, 1 November 2011 (archived), naming Andrew Davis of Tippingpoint Labs and Joe Pulizzi | No test of the ratio found |
| 30/30/50 | Cold email: at least 30% open, 30% of openers reply, 50% of repliers convert | Close's blog, by Steli Efti, 18 June 2018 | No data cited on the page |
| 3-21-0 | We could not find a published definition | No clear origin we could find | None found |
| Rule of 7 | A prospect needs to see your message at least seven times before acting | No clear origin we could find; the oldest related text we found is a 20-step list that Branding Strategy Insider (2010) attributes to Thomas Smith, 1885 | Earlier data, reinterpreted by Herbert E. Krugman in 2000, suggested three exposures |
Treat all four as prompts to measure something, and none of them as a law of selling. We covered the 3-3-3 rule in sales in its own post; like these, it exists in several versions.
What is the 4-1-1 rule in social media?
It is a sharing ratio: for every self-serving post, share four new pieces of content and one re-share. That wording comes from a Contently post by Lexi Lewtan dated 17 February 2012, which credits the term to Andrew Davis of Tippingpoint Labs and Joe Pulizzi, founder of Junta42 and the Content Marketing Institute. Contently took its summary from a Business Insider post of 14 February 2012, republished from OpenView Venture Partners, which calls it Andrew Davis's 4-1-1 rule. The earliest write-up we could open is an OpenView blog post by Brendan Cournoyer (1 November 2011, archived copy). It says Davis and Pulizzi, then an OpenView senior advisor, follow the 4-1-1 strategy on Twitter: for every tweet linking to your own content and one purely promotional tweet, post four that share other people's content.
The rule changed shape even in its first write-ups:
- Twitter version, July 2012. Kleber and Associates says it learned the rule for Twitter from Tippingpoint Labs: four pieces of relevant content from others and one retweet for every self-promoting tweet.
- Influencer version, June 2013. On the Content Marketing Institute blog (29 June 2013, archived copy), Pulizzi credits "Social Media 4-1-1" to Andrew Davis, author of Brandscaping. Out of every six pieces shared, four should come from the influencers you want to notice you, one should be your own educational content and one should be sales-related. Pulizzi adds that the numbers don't have to be exact.
We found no study that tests the ratio itself, so the 4-1-1 rule is a habit, with no result attached. Its useful core is the share of self-promotion: in every version above it is one post in six, about 17%.
On LinkedIn today, a founder could apply it as a weekly mix. Our suggestion, not a tested rule: four thoughtful comments or reposts with your own take on other people's posts, one post that teaches something from your work, and one post about your product. Our LinkedIn post templates cover the teaching post. If you use Siela's Social Media agents, you set the pace, such as two, three or five posts a week on LinkedIn, and the formats, from lessons learned to how-to lists.
What is the 30/30/50 rule in sales?
It is a set of minimum benchmarks for cold email from Close, the sales CRM company. In the original post on the Close.io blog, by Steli Efti and dated 18 June 2018, a healthy cold email funnel needs:
- Open rate of at least 30% of emails sent.
- Response rate of at least 30% of the people who opened, ideally closer to 50%.
- Conversion rate of at least 50% of the people who responded, meaning they take the action you asked for, such as booking a demo.
The same post gives a 30/50/50 rule for cold calls: reach at least 30% of the people you call, qualify at least 50% of those you reach, and convert at least 50% of those. The current version is credited to the Close Team and was last updated on 26 June 2026.
Multiplied through, the email minimums mean 0.30 x 0.30 x 0.50 = 4.5% of emails sent turning into the action you wanted. Close presents the numbers as benchmarks and says that in 99 percent of cases they make sense, but the page cites no dataset behind them.
The first number has also aged badly. Apple's Mail Privacy Protection page says the feature prevents senders from seeing whether you opened their email. Any recipient using it makes your open rate less reliable, so a 30% open-rate floor is hard to check. Measure replies per email sent instead, and keep Close's later steps: of the people who reply, how many take the next step.
What is the 3-21-0 rule?
We could not find a published definition of a 3-21-0 rule in sales, marketing or outreach, and there is no clear origin we could find. Searches on 20 October 2026 returned nothing that explained what the 3, the 21 or the 0 stand for.
If someone quotes it to you, ask three questions before you use it:
- What does each number count: days, touches, messages or something else?
- Who first wrote it down, and when?
- What data, if any, was it based on?
If nobody can answer, treat it like any other unsourced rule: a guess you can test on your own numbers, as in the last section of this post.
What is the rule of 7 in marketing?
It is the claim that a prospect needs to see or hear your message at least seven times before they act, and there is no clear origin we could find. The oldest related text we found is a list that Branding Strategy Insider (Dr. Derrick Daye, 16 August 2010) attributes to Thomas Smith's guide Successful Advertising, London, 1885. It counts to twenty: on the first look the reader does not see the advertisement, and on the twentieth look the reader buys.
We could not open the 1885 edition. A later 21st edition, with an introduction by Thomas Smith and dated 1902 by the Internet Archive, is online; we did not find the 20-step list in its scanned text. It does say a person may see an article advertised six or a dozen times after deciding to buy, before actually buying.
Other accounts don't agree on where seven came from. Growth Method, a marketing software company, says the rule began in the film industry in the 1930s, without citing a source. The same page quotes Dr. Jeffrey Lant calling it "an old marketing adage".
The evidence doesn't single out seven:
- Herbert E. Krugman wrote in the Journal of Advertising Research (December 2000 issue) about reinterpreting earlier data which suggested that three advertising exposures were an optimal frequency.
- For LinkedIn messages, Expandi's own data in its H2 2026 report found campaigns with five or more messages replied at 5.0%, below single-message campaigns at 6.3%; three-message campaigns did best at 9.8%.
Our reading: repeated exposure matters, the number varies, and seven messages in one inbox is not what any of these sources describe. Spread your touches across channels and time, as in our guide to following up without being annoying.
How to test a rule of thumb on your own numbers
Turn the rule into one measurable claim, then check it against four weeks of your own results. The steps are our advice:
Write the claim as a number
For example: "replies per email sent are at least 9%" (the 30/30 part of Close's rule, measured without opens) or "one post in six is about our product".
Pick a metric you can trust
Replies, meetings booked and connection acceptances are counted reliably. Email opens are not, for the reason Apple gives.
Get a baseline
Pull the last four weeks. If your reply rate or your share of promotional posts already meets the rule, the rule tells you nothing new.
Change one thing
Follow the rule for four weeks and change nothing else: same audience, same channels, same volume.
Keep what moved the number
Compare against your baseline. Keep the rule if the result improved, drop it if not, and write down what you tried for next time.
Frequently asked questions
Who created the 4-1-1 rule?
The earliest write-up we could open, an OpenView Venture Partners blog post from 1 November 2011, says Andrew Davis of Tippingpoint Labs and Joe Pulizzi follow the 4-1-1 strategy. A Contently post of 17 February 2012 credits the term to both. In June 2013 Pulizzi credited Social Media 4-1-1 to Davis, author of the book Brandscaping, on the Content Marketing Institute blog.
Does the 4-1-1 rule work on LinkedIn?
We found no study that tests it, on LinkedIn or anywhere else. Even Joe Pulizzi's 2013 write-up says the numbers don't have to be exact. Use it as a check on how much of what you share promotes yourself, about one item in six, and judge it by your own comments, profile visits and conversations.
What is the 30/30/50 rule in sales?
It is a set of cold email benchmarks from Close, first published by Steli Efti on 18 June 2018: at least 30% of emails opened, at least 30% of openers replying, and at least 50% of repliers converting. Multiplied through, that is 4.5% of emails sent. Close cites no data behind the numbers.
Is the rule of 7 in marketing true?
We found no clear origin and no study showing seven is the right number. The oldest related text, attributed to Thomas Smith in 1885, counts to twenty. In 2000, Herbert E. Krugman wrote about reinterpreting earlier data that suggested three exposures were an optimal frequency. Use repetition, but set the number from your own results for your buyer, channel and offer.
What is the 3-21-0 rule?
We could not find a published definition or origin for a 3-21-0 rule in sales, marketing or outreach when we searched on 20 October 2026. If someone cites it, ask what each number counts, who first wrote it down and what data supports it, then test it on your own results before relying on it.
Why are cold email open rates unreliable?
Because some mail apps hide them. Apple's support page says its Mail Privacy Protection prevents senders from seeing whether you opened their email. Any recipient using it makes open rates less reliable, so benchmarks built on opens, such as the 30% floor in the 30/30/50 rule, are hard to check. Replies per email sent are a sturdier measure.
Sources
- Contently: Should your social media strategy follow the 4-1-1 rule? (published 17 Feb 2012)
- Content Marketing Institute: 8 remarkable (and stolen) content marketing ideas (archived) (published 29 Jun 2013)
- Kleber and Associates: Be more social, the 4-1-1 rule (published 17 Jul 2012)
- Close.io blog: Sales benchmarks, the 30/50 rule (archived original) (published 18 Jun 2018)
- Close: Sales benchmarks, the 30/50 rule for cold emailing and cold calling (published 18 Jun 2018, updated 26 Jun 2026)
- Apple Support: Use Mail Privacy Protection on iPhone (checked 20 Oct 2026)
- Branding Strategy Insider: Advertising frequency theory, circa 1885 (published 16 Aug 2010)
- Internet Archive: Successful Advertising, 21st edition (Smith's Advertising Agency) (dated 1902; checked 20 Oct 2026)
- Growth Method: The rule of 7 in marketing (updated 22 Jul 2026)
- Krugman: Memory without recall, exposure without perception (Journal of Advertising Research 40(6), abstract) (December 2000)
- Expandi: The State of LinkedIn Outreach H2 2026 (no date on page; metadata shows update 17 Aug 2026; checked 20 Oct 2026)
- Siela: The 3-3-3 rule in sales (checked 20 Oct 2026)
- Siela: Social Media agents (checked 20 Oct 2026)
- OpenView Venture Partners: Twitter marketing, the 4-1-1 on building your following (archived) (published 1 Nov 2011)
- Business Insider (OpenView Venture Partners): Don't worry, content marketing can't kill social media (published 14 Feb 2012)