Community & Dark Social Playbook

Market where your analytics can’t see, then measure it by asking

Eight steps to find where your buyers already talk, make your thinking easy to forward, show up as a person rather than a brand, and measure what you can’t track. One fictional company is worked through every step.

By Saroj Jha, founder of AAJ. 15 min read, 8 steps, 8 figures, 13 references.

Many B2B buying conversations now happen where analytics can’t see them: in Slack and Discord groups, private messages, forwarded emails, subreddits and AI assistants. You can’t track them, but you can be present in them as a person, make your thinking easy to forward, and measure the result by asking buyers where they heard of you.

What you will build

  1. Step 1 A dark social map The rooms, people and newsletters your customers actually name
  2. Steps 2 and 5 Work that travels Open pieces worth forwarding, and three trusted people who might forward them
  3. Steps 3 and 4 A presence, then maybe a room Answers under your own name, and a community only with a host
  4. Steps 6 to 8 Measurement by asking Four signals, a monthly review and visible follow-up

Worked example: Example Co., a fictional seed-stage company that sells data-pipeline monitoring to data teams, runs through every step. The Self-Reported Attribution Coder codes the answers Step 6 collects.

A founder shows me a dashboard where “direct” is the biggest traffic source and asks why paid search is the only channel that seems to work. The answer is usually the same: the best channel is working, and the dashboard can’t see it. Someone read a post, pasted the link into a Slack channel, three people opened it on their phones, and one of them booked a call a week later. The analytics recorded a stranger arriving from nowhere.

Alexis Madrigal coined the term “dark social” in The Atlantic in October 2012 for sharing that carries no referrer[1]: a link pasted into a message, an email or a chat arrives at your site with no record of where it came from, so analytics files it under “direct”. In B2B today it covers many of the places a buying conversation happens: Slack and Teams channels, WhatsApp groups, private communities, podcast mentions, screenshots of your post, and questions typed into an AI assistant. None of them leave a trail you can follow back.

Much of the decision is made there, before a buyer talks to you. In Forrester’s 2025 Buyers’ Journey Survey, 68% of B2B buyers already had a front-runner vendor in mind at the start of a purchase[2]. In Gartner’s survey of 646 B2B buyers, fielded in August and September 2025, 67% said they prefer a buying experience with no sales rep, and 45% had used AI during a recent purchase[3]. And in a survey of 1,202 US business decision-makers that SurveyMonkey ran with Reddit, peer recommendations were the most trusted source of information, at 73%[4]. The shortlist is built in conversations you aren’t part of. Your job is to be on it. The dark social article sets out the evidence in more depth; this playbook is the method.

Step 1 of 8

Find out where your buyers already talk

Don’t start a community. Start by listing the ones your buyers already use. Ask your last twenty customers three questions: where do you ask peers for advice, which newsletters or podcasts do you actually finish, and who do you trust on this topic. Add the answers from “How did you hear about us?” on your forms; the Self-Reported Attribution Coder will sort a column of them into channels.

You will end up with a short list: two or three communities, a handful of people, a couple of newsletters. That list is your dark social map. Everything else in this playbook works from it.

Figure 1 Five names came up in at least five of twenty interviews, and they became the map

The dashed line on each bar is the map line: 5 of 20 customers.

Rooms

  1. A data-engineering Slack community About 30,000 members 11 of 20 On the map
  2. The subreddit for data engineers Asked and searched 7 of 20 On the map
  3. LinkedIn Mostly to follow people, not to ask 4 of 20 Not yet
  4. A city data meetup Monthly, in person 3 of 20 Not yet

People

  1. An independent data-quality consultant Named as “who I trust” 6 of 20 On the map
  2. A data lead who writes about testing Named as “who I trust” 5 of 20 On the map

Newsletters and podcasts

  1. One weekly analytics-engineering newsletter Read to the end 6 of 20 On the map
  2. A data podcast Heard on the commute 3 of 20 Not yet
Show the numbers as a table
Named by customers Kind Customers (of 20) On the map
A data-engineering Slack community Rooms 11 Yes
The subreddit for data engineers Rooms 7 Yes
LinkedIn Rooms 4 No
A city data meetup Rooms 3 No
An independent data-quality consultant People 6 Yes
A data lead who writes about testing People 5 Yes
One weekly analytics-engineering newsletter Newsletters and podcasts 6 Yes
A data podcast Newsletters and podcasts 3 No

Answers from Example Co.’s twenty customer interviews in Step 1; each bar is drawn to scale out of 20. Example Co. and its numbers are fictional.

Step 2 of 8

Make your best thinking easy to forward

Content travels through dark social when someone can send it to a colleague and look good for doing so. That rules out most gated PDFs and most “ultimate guides”. It favours a clear point of view, a framework someone can apply on Monday, a teardown of something real, or a number with its source attached.

The rule I use: ungate ideas, gate tools. Publish the thinking openly, because its job is to travel. Gate the things that fairly warrant an email, such as a workbook or a template, and make the download worth the trade. Every piece should stand alone: if the forwarded link needs the rest of the site to make sense, it won’t be forwarded.

Figure 2 Forwarded, a gated report shows a form; an open page shows the point

Before: the gated report

Dana to two teammates: “worth a look?”

example-co.com

The State of Data Quality report

Enter your work email to download the 40-page PDF

  • The teammates see a form, not the point
  • Nothing in the preview is worth quoting back in the thread
  • Readers who won’t trade an email never see the argument

After: the open page

Dana to two teammates: “this is the list I meant”

example-co.com

Eleven tests every pipeline needs before the CFO sees the dashboard

Test 1: compare today’s row count with the same day last week. One page, with the SQL for each test.

  • The point is in the preview, before anyone clicks
  • It stands alone: no other page is needed to use it
  • The cost calculator stays gated: it is a tool, worth an email

Example Co.’s two versions of its data-quality content, as a link preview in a chat app. Example Co. and its numbers are fictional.

Step 3 of 8

Show up as a person before you show up as a company

In a community, a company account is a guest and a person is a member. The founder or a senior person should be the one answering questions, and the answer should help even when it doesn’t mention your product. The Founder-Led LinkedIn Playbook covers the public side of this; the private side is the same person, in the same voice, in rooms where a sales pitch would get you removed.

Set a simple rule for the team: in other people’s communities, answer first, link only when asked, and never post the same thing in more than one room. Then read each room’s own rules before the first post. On Reddit, for example, the sitewide rules prohibit spam and content manipulation, and each community’s moderators create and enforce their own rules on top[5].

Figure 3 Answer the question that was asked, and link only when someone asks

data-quality in a data-engineering Slack community

  1. D

    Dana Analytics lead

    How do you all catch a pipeline that silently loads half the rows? I found out from the CFO this morning.

  2. E

    Example Co. Company account

    Hi Dana! Example Co. catches this automatically. Book a demo here: example-co.com/demo

    Don’t: a company account, a pitch and a link nobody asked for
  3. M

    Maya CEO at Example Co.

    Three checks catch most of it: compare row counts with the same day last week, alert when a load finishes far faster than usual, and test the one column finance sums. All three work in plain SQL. I work on a tool that does the third one, if that’s ever useful.

    Do: a person, an answer that works without the product, and where she works
  4. S

    Sam Data engineer

    What do you use for the third one?

  5. M

    Maya CEO at Example Co.

    Example Co. Here’s the page that explains how it picks the column: example-co.com/finance-tests

    Do: the link comes after a member asks for it

A thread of the kind Example Co.’s CEO answers in Step 3. Example Co., its people and their messages are fictional.

Step 4 of 8

Give the community something a feed can’t

If you do run a community of your own, it has to offer something a follower count doesn’t: access to peers who share a problem, answers from people who have solved it, and a place where the vendor is present but not in charge. The communities that last are built around a role or a problem (“heads of marketing at seed-stage SaaS”), not around a product.

Before you open one, write down the one recurring conversation it will host, who will show up every week to keep it alive, and what you will do when it goes quiet in month three. If you can’t answer the second question with a name, don’t open it yet. A dead community costs more than no community.

Decide, too, which number it should move. Proving value is where community teams struggle: in CMX’s 2025 survey of 589 community professionals, 24% said they could confidently quantify their community’s value, and difficulty proving ROI was the most common budget challenge, named by 37%[6]. CMX’s 2026 report says that confidence has since dropped[7].

Figure 4 Twelve weeks of one conversation, with a host by name and a plan for the quiet month
  • The conversation A fortnightly incident review call, where one member walks through a broken pipeline, and one question posted every week
  • The host Lee, the content marketer, with two customers as co-hosts
  • The month-three plan Hand the call to a customer with a story, and ask the quietest members one question each
  1. Week 1 31 on the call Launch: Lee hosts
  2. Week 2 Weekly question only
  3. Week 3 27 on the call
  4. Week 4 Weekly question only
  5. Week 5 24 on the call
  6. Week 6 Weekly question only
  7. Week 7 19 on the call
  8. Week 8 Weekly question only
  9. Week 9 14 on the call Quiet: the plan starts
  10. Week 10 Weekly question only
  11. Week 11 22 on the call A customer walks through her incident
  12. Week 12 Weekly question only
Show the numbers as a table
Week People on the call Note
1 31 Launch: Lee hosts
3 27 Fortnightly call
5 24 Fortnightly call
7 19 Fortnightly call
9 14 Quiet: the plan starts
11 22 A customer walks through her incident

Example Co.’s first twelve weeks after opening its community; bar heights are drawn to scale against week 1’s 31 people. Example Co. and its numbers are fictional.

Step 5 of 8

Recruit the people others already trust

Every market has a few dozen people whose recommendations move buyers: practitioners who write, consultants who advise, the person everyone tags in a thread. Your Step 1 list names them. Don’t pitch them. Send them your best work with a specific note about why it applies to something they said, ask for their criticism, and make it easy for them to quote you. When one of them shares your framework in a private group, that is the most valuable distribution you will get this quarter, and no dashboard will show it.

Where money changes hands, disclose it. In the US, the FTC’s Endorsement Guides, revised in 2023, expect a connection between an endorser and a brand that the audience wouldn’t expect, such as payment, to be disclosed clearly and conspicuously[8]. The FTC’s rule on fake reviews and testimonials, in effect since October 21, 2024, goes further: courts can impose civil penalties for knowing violations, including undisclosed reviews by company insiders and bought followers[9]. Beyond the law, a paid mention that looks organic damages the trust that made it valuable. The Authenticity Audit for Creator Marketing covers paid partnerships in detail.

Figure 5 Four steps up are yours to take; the fifth, the share, is hers
  1. 1 Read Her last five posts. One says most data-quality tools alert far too often.
  2. 2 Send The alert-noise analysis, with one sentence on why it answers her post.
  3. 3 Ask “Where is this wrong?” She replies with two objections.
  4. 4 Make it quotable The analysis is revised, credits her objections, and opens with one line and one chart she can paste.
  5. 5 She shares it In a private group of data leads, three weeks later. No dashboard shows it; a customer mentions it on a call.

No money changes hands at any step, so there is nothing to disclose.

Example Co.’s approach to the consultant from its Step 1 map. Example Co. and its numbers are fictional.

Step 6 of 8

Measure by asking, not by tracking

You can’t track dark social, so measure it the way you measure anything you can’t observe directly: ask, triangulate and watch the trend.

  • Ask on every form. A free-text “How did you hear about us?” field, coded consistently. The Analytics & Attribution Playbook (Step 5) covers why free text beats a drop-down, how to code the answers and how many you need before the shares mean anything.
  • Ask on every first call. One question, logged in the CRM: what made you reach out now?
  • Watch branded search. Searches for your company name rise when people are talking about you where you can’t see; in my experience it is the best proxy you have. Google Search Console’s Performance report now has a branded-queries filter that separates them for you, although it isn’t available to sites with few impressions and some queries are misclassified[10].
  • Watch “direct” traffic to deep pages, as a share of all direct traffic. A stranger arriving directly at a specific article did not type the URL. Someone sent it.
  • Watch AI answers. Whether assistants name you for your buyers’ questions is now part of the same picture. The AI Visibility Significance Test scores a run.

None of these gives a clean attribution number. Together they tell you whether the dark side of the funnel is growing or shrinking, which is the decision you need.

Figure 6 Analytics saw four direct visits; the form named the community and the person

What happened

  1. Monday Priya posts the alert-noise analysis in the data Slack
  2. Monday Dana opens it on her phone and forwards it to two teammates
  3. Tuesday Both teammates read it
  4. A week later Dana requests a demo

What analytics recorded

Source / medium Landing page Sessions

(direct) / (none) /alert-noise 3

(direct) / (none) /demo 1

No Slack, no Priya, no forward: a stranger arriving from nowhere.

What the form said

How did you hear about us?

Saw Priya’s post in the data Slack, then my team read the alert-noise piece

Coded as Community Person

Show the numbers as a table
Source / medium Landing page Sessions
(direct) / (none) /alert-noise 3
(direct) / (none) /demo 1

One of Example Co.’s demo requests from Step 6, in three views. Example Co. and its numbers are fictional.

Step 7 of 8

Feed what works back into the visible funnel

Dark social and the trackable funnel aren’t rivals. The forwarded article creates the demand; the retargeting ad, the newsletter and the sales call capture it. Once Step 6 tells you which pieces travel and which communities send buyers, point the visible machinery at them: retarget readers of the pieces that get forwarded, invite community members to the things you gate, and brief sales on which conversations to expect.

Figure 7 The forwarded piece creates the demand; the visible funnel captures it

Where demand is created: you can’t see it Where it is captured: you can

  1. Created, unseen: The alert-noise analysis, forwarded in Slack Captured: Retarget its readers with an invitation to the incident review
  2. Created, unseen: Priya’s share in a private group of data leads Captured: A sales brief: expect questions about alert noise, and who may have sent them
  3. Created, unseen: Threads in the subreddit about silent failures Captured: Next month’s newsletter leads with the eleven tests

Example Co.’s follow-up in Step 7 for the two pieces and two places that came up most in Step 6. Example Co. and its numbers are fictional.

Step 8 of 8

Run it on a rhythm, with an owner

Name one person who owns community and dark social, usually the founder or whoever leads marketing. Each month they:

  • Review the map. Which communities, people and newsletters produced self-reported mentions this month?
  • Review the content. Which pieces did people forward, and what do they have in common?
  • Review the presence. Where did you answer questions, and where did you go quiet?
  • Pick one thing to change next month, and write down why.

Judge it against your own numbers over time. There is no benchmark for dark social, and anyone quoting one is guessing. Then check the quality of the pipeline that arrives this way. In my experience these deals close faster, because the buyer arrived with the decision half made; your win-loss notes will show whether that holds for you. If self-reported mentions rise and pipeline doesn’t, the wrong people are talking about you. Go back to Step 1.

Once a quarter, redo the twenty-customer questions from Step 1. The map moves.

Figure 8 Six months in, all four signals point the same way, which is the finding
  • Demo requests naming a community or a person

    34% in month six, from 18% in month one

    Share of answered forms; scale 0 to 40%

    Month 1 Month 6

  • Branded search clicks a month

    260 in month six, from 140 in month one

    Search Console, branded filter; scale 0 to 300

    Month 1 Month 6

  • Direct visits that land on a deep page

    31% in month six, from 22% in month one

    Share of all direct visits; scale 0 to 40%

    Month 1 Month 6

  • AI answers that name Example Co.

    2 of 20 in month six, from 0 of 20 in month one

    Twenty buyer questions, run monthly; scale 0 to 20

    Month 1 Month 6

Show the numbers as a table
Month Forms naming a community or person Branded search clicks Direct visits to deep pages AI answers naming Example Co.
1 18% 140 22% 0 of 20
2 21% 150 23% 0 of 20
3 24% 175 25% 1 of 20
4 27% 190 27% 1 of 20
5 31% 230 29% 2 of 20
6 34% 260 31% 2 of 20

Example Co.’s monthly review sheet from Step 8. Each line is drawn to scale from zero. Example Co. and its numbers are fictional.

What changes by stage?

Pre-seed

The founder is the whole program: run the twenty conversations (Step 1), answer in two rooms under your own name (Step 3), and add the form field before the first launch (Step 6).

Seed

Add open, forwardable pieces (Step 2), relationships with three to five trusted people (Step 5) and the monthly review (Step 8). Join communities rather than starting one.

Series A–B

Open a community of your own only when customers ask for one and someone can host it every week (Step 4), and connect what it produces to your CRM and to paid and sales follow-up (Step 7).

What mistakes should I avoid?

  • Starting a community to have one. Without a recurring conversation and a named host, it dies quietly, in public (Step 4).
  • Pitching in other people’s rooms. The fastest way to lose the audience you were trying to reach (Step 3).
  • Gating the thing that should travel. A framework behind a form reaches the people who fill in forms, and no one else (Step 2).
  • Killing the channel because it doesn’t attribute. Cutting content because “direct” got the credit is the most common self-inflicted wound I see in reporting (Step 6).
  • Faking it. Undisclosed paid mentions, seeded questions and sock-puppet praise are found out, and they poison the well for the real thing (Step 5).
  • Measuring nothing. “We can’t track it” is not a reason to skip the question on the form (Step 6).

Common questions

Is it true that most sharing happens in dark social?

The figures usually quoted are old consumer data. RadiumOne, an advertising-technology company, found that 69% of the sharing it measured on its network in 2014 went through private channels such as email and messaging[11], and in 2016 put the global share outside public social networks at 84%[12]. Both counted sharing from publishers’ and marketers’ consumer sites, and no one has published a current B2B equivalent. So I treat any dark social percentage as a guess and measure my own share instead.

Is dark social the same as word of mouth?

Mostly. Word of mouth is the behavior; dark social is the term for where it now happens, in private digital channels, and for the fact that analytics can’t see it. The playbook is the same as it always was: be worth recommending, and be present where the recommending happens.

Can my team talk about our product in communities?

Yes, if they say who they work for whenever they mention it. The FTC’s Endorsement Guides expect an employee who promotes the employer’s product online to disclose the relationship, and the FTC says that listing your employer on your profile page isn’t enough[8]. A short line in the reply itself, such as “I work at the company that makes this”, does the job. Then follow each community’s own rules on self-promotion, which can be stricter than the law.

Can I track dark social with UTM links?

Only partly. A UTM tag records where you posted a link, not where it travelled next. If someone copies the tagged link from your LinkedIn post into a Slack channel, every visit it brings is credited to LinkedIn, and a link someone finds and shares on their own carries no tag at all. Tag what you post so the visible channels are counted correctly, and ask buyers where they heard of you for the rest.

Slack, Discord or a forum: where should my own community live?

Where your members already spend their working day, and where the answers will still be findable later. Slack is one click away for people who use it at work, but a free Slack workspace shows only the past 90 days of messages and files, and data older than one year may be deleted[13]. If the value is in the answers, choose a forum or a paid plan that keeps them searchable; if it is in live conversation, the app your members already have open matters more.

What should I do when someone criticizes my product in a community?

Answer once, in the same thread, as a person: thank them, say what you know about the problem and what will change, without arguing about tone. If they are right, fix it and come back to the thread to say so; that reply is often read more than the complaint. If they are wrong on a fact, correct the fact with a link and leave the rest. Never ask colleagues or customers to pile in, because seeded replies are as easy to spot as seeded questions.

Use with this playbook

Playbooks

Articles

Templates and tools

References

  1. Madrigal, A. (2012). “Dark Social: We Have the Whole History of the Web Wrong.” The Atlantic, October 12, 2012. theatlantic.com
  2. Forrester (2025). “Building Preference Is The Key To Winning B2B Buyers.” Forrester blog, reporting Forrester’s Buyers’ Journey Survey, 2025. forrester.com
  3. Gartner (2026). “Gartner Sales Survey Finds 67% of B2B Buyers Prefer a Rep-Free Experience.” Press release, March 9, 2026. Survey of 646 B2B buyers, August to September 2025. gartner.com
  4. SurveyMonkey and Reddit (2026). “New research from SurveyMonkey and Reddit reveals why trust is the new currency in B2B buying.” SurveyMonkey newsroom, March 10, 2026. 1,202 US business decision-makers, December 23, 2025 to January 7, 2026; research run with Reddit. surveymonkey.com
  5. Reddit, Inc. (2026). Terms of service report to the New York State Attorney General, January 2026, describing the Reddit Rules and community rules set by moderators. ag.ny.gov
  6. CMX (2025). 2025 CMX Community Industry Report. Survey of 589 community professionals, May 1 to June 22, 2025. start.bevy.com
  7. CMX (2026). The 2026 CMX Community Industry Report. Report page and summary of findings. cmxhub.com
  8. Federal Trade Commission. “FTC’s Endorsement Guides: What People Are Asking.” Business guidance on the Endorsement Guides as revised in 2023. ftc.gov
  9. Federal Trade Commission (2024). “The Consumer Reviews and Testimonials Rule: Questions and Answers.” Business guidance on 16 CFR Part 465, in effect since October 21, 2024. ftc.gov
  10. Google Search Console Help. “Performance report (Search results): Dimensions and data groupings.” Branded and non-branded queries. support.google.com
  11. RadiumOne (2014). The Light and Dark of Social Sharing. One month of sharing by the 900 million users on RadiumOne’s network; consumer data. mmaglobal.com
  12. Faull, J. (2016). “77% of content is being shared via ‘Dark Social’, finds new research.” The Drum, June 9, 2016. RadiumOne data on 940 million users; consumer data. thedrum.com
  13. Slack Help Center. “Updates to message and file history on free workspaces.” Deletions began August 26, 2024. slack.com

Be part of the conversation, then count it

Want a second pair of eyes on your community map, your forwardable content and your measurement before you commit a quarter to them? AAJ can review them against your own buyers.

Or start on your own with the free Self-Reported Attribution Coder.

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