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Two people. Bootstrapped. $1M ARR. That is Fibbler, and Adam Holmgren attributes it to LinkedIn ads as the company's main distribution channel.
He had already built the audience before the product existed. Around 25,000 B2B marketers, accumulated over three years of posting tactical demand generation content while employed full time, with no product to mention. Almost every one of them held the job he used to hold, as heads of growth, demand leaders, and heads of marketing. When Fibbler launched, the first 50 paying customers came from that network alone. Rand Fishkin ran the same audience-first sequence at SparkToro, where his startup marketing strategy scaled the company without a sales team.
On the Edbound With Kinner podcast, host Kinner Sacchdev sat down with Adam Holmgren, co-founder of Fibbler, to break down exactly how that machine runs.
Update, July 2026: Since this episode was recorded, Adam has publicly confirmed Fibbler crossed $1M ARR, with LinkedIn ads still the primary distribution channel. At the time of the conversation below, the business sat at 500 customers. The play did not change.
A LinkedIn thought leader ad is a sponsored post that promotes an individual person's organic content rather than content published by a company page. The post keeps the author's name, photo, and original framing, carries a promoted label, and runs in the feed like any other paid placement.
Mechanically, the company requests permission through Campaign Manager, and the author receives a request they can approve or decline, with sponsorship permission revocable at any point afterwards.
The distinction matters because of how B2B buyers read their feeds. A company page ad announces itself as marketing before the first line lands. A person's post arrives with the same visual signature as every other update from a peer, and it inherits whatever credibility that person has already built.
That inheritance is the strategic point. Thought leader ads let you buy distribution for trust you already earned, which is a different transaction from buying attention for a brand message nobody has encountered.
Get Adam Holmgren's field playbook for turning weekday organic posts into validated ad creative, scaling only the winners into paid, and proving the loop against CRM pipeline. Then chat with this Podcast Episode's AI Brain to map it to your stage.
Inside You Will Discover
Most diagnoses of poor LinkedIn performance start and end with targeting. Audience too broad, exclusions too loose, account list stale. Adam's experience points earlier in the chain.
LinkedIn offers the strongest targeting available in B2B, and it still delivers companies you never asked for. Unwanted accounts arrive regardless of how carefully the audience is built, which is why Fibbler ships one-click exclusion for both companies and job titles.
The more useful signal sits downstream. When Adam sees near-zero pipeline impact from a campaign, he reads it as evidence that either the targeting missed or the message failed to land with the people it did reach. Both diagnoses come from the CRM rather than the ad platform, because every ad channel reports favourably on itself. Laura Erdem of Dreamdata builds her social selling strategy on the same principle, reading live buyer behaviour instead of platform-reported metrics.
Treating ads as a standalone channel also produces misleading conclusions. Adam's amplification play is one layer inside a wider system. Alan Dsouza scaled ZapMail past $16M ARR by treating cold email outreach strategy as one third of a motion that also runs LinkedIn DMs and ads. Ivan Falco, who Kinner references in this very conversation on the subject of LinkedIn targeting drift, reached a similar conclusion with the inbound led outbound strategy that scaled ColdIQ from $2M to $6M ARR.
Here is the step most teams skip. Before Adam spends a dollar, the market has already told him which messages deserve budget.
He posts every weekday. At month end he selects the two or three posts that performed best organically and puts spend behind those specific pieces. No new creative gets briefed. No copy gets written for the ad account.
The question of whether LinkedIn ads are worth it depends almost entirely on what you point them at. Adam was spending roughly 50 percent of incoming MRR on marketing in the early days, while working a full-time job, because a position in a crowded category gets claimed early or not at all.
| Metric | Figure |
|---|---|
| Monthly LinkedIn ad spend | ~$10,000 |
| Monthly signups | 400 to 500 |
| New paying customers per month | 50 to 100 |
| Annual order value | $1,000 to $1,500 |
| Share of inbound growth | 80 to 90% |
The format's real advantage is patience. A company page ad has to convert on the impression it buys. A person's post can afford to spend months doing nothing except becoming familiar.
Adam runs two distinct layers. The cold layer carries narrative content about Fibbler's growth journey, his market positioning, and his views on attribution. Product barely appears. The retargeting layer, aimed at people who already engaged or visited the site, is where the product finally gets shown.
"They have seen my face and my post for maybe a few months before I start pushing product down their throat."
That delay is a deliberate cost, and the research supports it. LinkedIn's B2B Institute found that 95 percent of potential buyers are not ready to buy today, sitting out-market now and entering the market at some later point. Their conclusion is blunt: advertising should mostly reach buyers who are unlikely to buy from you today. Adam arrived at the same operating principle without the framework, simply by watching what converted.
His posture inside the content reinforces it. He describes himself as educational first, holding a strong point of view without an aggressive one, and names Adam Robinson of RB2B as his stylistic opposite. Robinson's founder-led marketing strategy took RB2B from zero to $25M ARR on edutainment and a deliberately aggressive point of view. Both approaches work, and the choice determines what you can credibly amplify with paid spend.
This is the operational detail that made Kinner stop the conversation mid-answer, and it is the piece most teams get backwards.
The instinct is to sponsor a post the moment it starts performing. Adam waits. He lets the post finish its organic run completely, then edits it to add a short pitch and a call to action at the end, then sponsors the edited version.
The sequence solves two problems at once. Sponsoring early means paying for reach the algorithm that was about to deliver free. Adding a CTA early suppresses the organic engagement that qualifies the post in the first place.
There is also a platform constraint that makes the edit necessary rather than optional. LinkedIn does not offer a call-to-action button on single image or video thought leader ads, though URLs can be added to the intro text. Adam's edit is the workaround for a missing feature, and it creates the tracking the format otherwise lacks. He can measure CTA clicks, site visits, and signups from that specific asset.
The sequence:
Adam ran this and almost nothing else for twelve months, aimed at the United States market, which is where the majority of Fibbler's customers now sit.
Access Adam Holmgren's full playbook and build a system that turns organic posts into paid distribution at scale, even on a two person team with no sales process. Then speak to this Podcast Episode's AI Brain to map the exact steps for your product and market.
The disqualifiers matter as much as the mechanics.
The play depends on a content supply that never runs dry, and on an amplification loop that runs on a fixed rhythm.
Content supply. Adam works from four pillars, decided in advance:
Every pillar appears every week. Repetition across a narrow set of subjects is what lets people name what you are known for, and Adam deliberately picked a subject adjacent to his product without pitching it.
Production happens in one block. He captures rough notes during the week whenever an idea lands, then outlines and schedules the entire following week over the weekend. Weekends stay clear of posting, because engagement does not justify it.
For anyone starting near zero, his advice runs in order. Manually connect with around 100 relevant people per week, up to the platform cap. Comment before worrying about posting, since the threshold is lower and comments earn real visibility. Then accept that early posts will underperform, which Adam frames bluntly by pointing out that nobody is paying enough attention for a weak post to matter. Sam Winsbury's personal branding LinkedIn strategy covers that early ramp in more depth for B2B founders.
Amplification loop. Once supply is steady, the loop is mechanical. Select the top posts monthly. Edit in the pitch and CTA. Sponsor to the priority market. Exclude what does not fit. Check pipeline impact in the CRM.
AI sits inside this loop as an amplifier. Adam drafts his own content, at minimum an outline, then uses Claude to tighten it and check that it holds to the right pillar. The model has context on him, on Fibbler, and on the product. His condition is that the output still sounds like him, enforced through explicit voice guidelines.
Adam's closing argument reframes everything above it. There are more SaaS companies than ever, and more arriving. Features stop being defensible almost immediately, because anything genuinely novel gets rebuilt by someone else within weeks.
What remains is the ability to reach the right people repeatedly, with something worth their attention, in a way that compounds instead of resetting. That capability has to be built, and it takes longer than any campaign cycle.
Paid amplification is one route. Max Mitcham built Trigify on content-led funnels with zero ad spend, worth studying as the deliberate counterpoint. The common factor across both is content produced consistently for years and measured against pipeline rather than impressions.
That production problem is what Edbound AI solves. Education-led content motions turn founder expertise into durable, searchable assets that connect content to distribution to pipeline, at a scale that does not demand more hours from the one or two people carrying it.
Adam proved two people can run this to $1M. The constraint was never headcount.