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Founder-led marketing uses a founder’s expertise to help buyers understand a problem, evaluate an approach, and start a relevant conversation. Finn Thormeier’s playbook connects executive content, engagement signals, and personal follow-up rather than leaving publishing separate from sales.
In his June 11, 2026 conversation with Oleg Sobolev, Finn described Project 33’s work with more than 50 B2B tech companies and lessons from over 140 executive-brand interviews. The method starts with a willing executive and an interview built around the ideal customer profile (ICP).
Watch the full session replay.
Who should post?
Finn looks for two things:
1. They genuinely want to do it. They need to want to share their knowledge publicly, not merely agree to try it. Finn has seen VP-of-Marketing-led programs fail when the CEO was not bought in.
2. They have insights the ICP cares about. This is why it is not automatically the founder.
At Siteimprove, the founder had left the company, so Project 33 worked with the CMO, whose audience included other CMOs. At SafetyWing, the Head of Revenue was a digital nomad and a power user of its remote-insurance product. That gave her relevant material to discuss.
For enterprise deals with larger buying committees, Finn recommends content from several relevant leaders alongside the founder or subject-matter expert.
For a small company, Finn’s default is the founder. Support employees who volunteer and give them resources, but do not force a company-wide posting program.
The extraction interview
The system starts with a one-hour interview every two weeks. The ICP is the audience for this internal podcast.
The interviewer needs context on the company, its ICP, what it sells, and the executive’s areas of expertise. That context helps the interviewer pull for material buyers would find relevant.
When the interviewer does not know the ICP deeply, Finn suggests asking: "What would your ICP disagree with here?" That shifts the executive from talking to the interviewer toward making the case for the buyer.
Ask for examples, use cases, and numbers that support the executive’s claim. Finn extracts them on the call wherever possible. When the executive does not have a specific number ready, they get tagged in the Google doc draft: "Hey, can you provide the numbers here?"
Finding the right content angles
Content angles Finn mentioned include:
Recent company events. An acquisition, for example, can prompt an interview about why the company bought, its vision, and the expected customer benefits.
What competitors are saying. Finn brings a successful competitor post into the interview and asks where the executive agrees or disagrees. If a competitor's post performed well, use it as a springboard to get the executive's real reaction.
The ICP's active problems. Focus on the buyer's current struggles rather than the executive's strengths.
Track engagement and route the signals
Finn pairs content with engagement tracking and outreach.
Track organic engagement with ICP precision. In the workflow Finn described in June 2026, Project 33 used Jungler to pull organic post engagers via API. Those engagements go into a Clay table, where each profile gets enriched and qualified. The table tracks every company and person who has engaged with the executive's content over time, including how many times and on what date.
Layer in thought leader ad signals. For clients running LinkedIn thought leadership ads, Fibbler supplied company-level engagement data on the ad side. The campaigns target specified accounts and job titles. That makes the account signal more relevant, but it does not identify the individual buyer. Finn distinguishes that from knowing a specific CISO engaged.
Merge into one place and act. Clay deduplicates and scores. When an ICP engages, it pushes a notification to a shared Slack channel when a relevant person engages. The executive should start with a simple connection request. If the account is a named target, that signal flows into HubSpot or Salesforce and becomes one input alongside webinar attendance, website visits, and event activity.
Act on the account history. Project 33 keeps a history of engagement by person and company. Each client sets its own threshold for when an SDR or BDR should prioritize an account based on those engagement signals.
Finn said Project 33 did not automate LinkedIn outreach or connection requests and did not recommend that to clients, citing LinkedIn’s terms. Its minimum follow-up was a notification to the client and a personal connection request from the executive. An engagement signal is context for a conversation, not proof that someone wants a sales pitch.
Evaluate posts by ICP engagement
Finn evaluates total engagement alongside how many engagers fit the ICP.
If you sell into chief information security officers and a post gets 30 likes, seven of which are CISOs, that post is more useful than one with 60 likes and only one or two CISOs. Total engagement still matters, but relevant engagement matters more.
| Post | Engagement from the intended buyer |
|---|---|
| 30 total likes | 7 CISOs |
| 60 total likes | 1–2 CISOs |
Finn’s illustrative comparison favors the first post. It is a way to judge audience relevance, not measured sales performance for those two posts.
This framing changes what you do next. When a post gets 10 likes, it can feel disappointing. Finn's advice: check who those 10 people are. If two of them are actual prospects, reach out to those two. Finn cited HockeyStack co-founder Emir Atli as an early example: he posted daily, got 5-10 likes per post, and manually reached out to every ICP who engaged. Finn said that work booked demos even when the posts looked low-performing.
For founders building this on LinkedIn from scratch, the how to prospect on LinkedIn guide covers the engagement-first mechanics in detail.
Measure beyond visible engagement
Finn adds an important limit to the engagement data: senior buyers are less likely to like or comment publicly. A CISO at a large company has less incentive to be active in comment threads, so visible engagement captures only part of the audience.
He still expects some ICP engagement. If nobody relevant ever reacts, the content probably has a relevance problem. But he pairs the dashboard with qualitative evidence: prospects mentioning a post at a conference, buyers saying they saw a video, and self-reported attribution in sales conversations.
Repost evergreen outliers
Some posts will significantly outperform your average. Project 33 calls these outliers. Finn defines the threshold relative to each account's own baseline, not against any absolute number. When a post qualifies and it is evergreen (not a funding announcement, not a dated news reference), repost it verbatim every three months. Keep reposting until it starts performing at average instead of above average. Ask the executive whether anything has changed before republishing. Finn also creates follow-up posts on successful topics when they are relevant to the industry and product, rather than repeating unrelated content merely because it received likes.
Test thought leader ads against deal economics
Finn described a cold layer using his strongest organic posts as thought leader ads toward a small audience of about 2,000 people, followed by conversation-ad retargeting. For Project 33’s own campaign, he reported 10 demo bookings attributed through click conversions and roughly €9,000-plus in spend, which he described as about €1,000 per attributed demo.
He estimated that another 50–100% of demos might be unattributed and discussed a lower cost range if those were included. That was an estimate, not an additional set of verified bookings. Keep tracked conversions separate from assumed influence.
For iPoint, which sells to supply, sustainability, and compliance leaders at automotive manufacturers, Finn reported five tracked conversions on an 11K budget, describing the cost as about $2,000 per conversion. These were campaign-specific examples, not a target cost for every founder.
His decision rule is to work backward from annual contract value and the conversion rate from qualified demo to closed-won. A cost that works for a large enterprise deal may be uneconomic for a smaller contract. The thought leadership ads guide explores a separate campaign example.
How Project 33 uses AI for drafting
Project 33 used a custom n8n agent for drafting in the workflow Finn described.
The content director gives the agent interview excerpts and a brief covering the angle, hook, and what to include or exclude. That gives the model real material to draft from. A prompt like "write an interesting LinkedIn post for a head of supply chain" does not.
Finn’s prompt technique is to ask for a mini essay. The "LinkedIn post" frame can produce excessive line breaks, emojis, and forced formatting. Finn found that "mini essay" reduced those formatting habits.
Human review stays in the loop at every step. The content director runs the interview, gives the agent a brief with the angle and the key excerpts from the transcript, reviews the output, sends it back if needed, and approves before the client sees it. The agent replaces the ghostwriter. The content director still makes every meaningful decision.
Finn’s starter checklist
If you are a small founder and want to start next week, Finn's checklist:
- Post 2-3 times a week. Block the time, either batch it in a four-hour session once a week or block an hour three days a week. Both work; pick one and keep it.
- Spend 30 minutes a day active on the platform: comment on your prospect list's content, answer your own comments, answer DMs. For SDRs running the same system, LinkedIn for SDRs covers the full workflow.
- If you have any ad budget, run thought leader ads against a narrow list of target accounts.
- Connect something like Jungler to a Clay table and set up a Slack notification when an ICP engages with your content.
- Act on those notifications: send a connection request or a short message when a named target shows up in your engagers.
The final step is to follow up instead of waiting for an engager to book a demo.
For founders in more competitive categories, martech, sales tech, Finn is direct: more competition means more effort. You cannot prompt an AI for five minutes and expect to build a meaningful brand in three months in a category where 20 other founders are already established on LinkedIn. Finn sees opportunity in less crowded verticals, such as industrial markets where few executives publish for the same buyers. He does not offer a universal timeline for building an audience or pipeline.
Review the conversation draft before sending
Extrovert’s draft-quality workflow gives the person reviewing a comment or DM a way to change its direction before sending. The illustration shows a suggested draft, an editing instruction, and the rewritten text. That is useful for acting on engagement without treating a draft as a finished personal message; it is separate from Finn’s Project 33 content-production stack.
Illustration: a draft comment on a prospect's post; your direction, typed or spoken: "Make it shorter. Ask what they use today."; the draft rewritten with it, shorter, with the Approve button.
FAQ
What is founder-led marketing?
Founder-led marketing uses founder or executive content to build relevant relationships and support pipeline.
Does the founder have to be the one posting?
Not necessarily. The right person to own founder-led marketing is whoever genuinely wants to create content and has insights directly relevant to the ICP. At some companies that is the CMO, the head of revenue, or a functional leader whose expertise maps to the buying committee. For early-stage companies, the founder is usually the right default, but only if they are actually willing to commit to it.
How often should an executive post on LinkedIn for founder-led marketing?
Finn recommends posting two to three times a week and blocking time for it. Pick a cadence you can keep instead of posting daily for a month and stopping.
How do you turn LinkedIn engagement into sales pipeline?
Track who engages with your content using a tool like Jungler, push that data into Clay, enrich and qualify it, and alert your team when a named target account engages. The minimum action is a connection request from the executive. For more mature programs, LinkedIn engagement becomes one signal in a CRM account score alongside website visits, webinar attendance, and event activity.
Should you use AI to write executive LinkedIn content?
AI can draft from specific interview material: an interview with the executive where they share specific insights, numbers, and opinions. AI without that signal produces generic content that sounds like everyone else. Finn recommends asking the model for a "mini essay" rather than a "LinkedIn post." The "LinkedIn post" prompt activates preconceptions about formatting that produce the line-break-heavy output that looks like AI.
What should teams do after publishing?
Track relevant engagers and follow up instead of waiting for an inbound demo request.
Sources
Finn Thormeier x Extrovert, recorded June 11, 2026: executive selection at 06:24, extraction interviews at 11:10, engagement at 17:20, signal routing at 22:40, ad economics at 35:46, AI drafting at 50:00, and the starter checklist at 59:04.
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