Quick Answer
Plausible Analytics grew from $64 MRR in May 2019 to $1M ARR in June 2022 without paying for a single ad, and its founders published the dated timeline to prove it. Content marketing, meaning useful writing shared in public that earns trust before it asks for a sale, lined up with most of the early jumps. The moves were a fight with Google Analytics, hand promotion, news commentary, original data and progress anyone could check.
Most growth stories arrive without receipts, so you can't tell which move mattered and which one got the credit afterwards. Plausible is the rare exception, because co-founder Marko Saric logged monthly recurring revenue next to what the team shipped and wrote each month.
That turns a founder anecdote into something closer to a dataset. It also exposes the parts nobody likes to copy: 324 days to reach the first $400 MRR, a stall before a marketing co-founder joined, and regulatory news the team didn't control.
If you're weighing content marketing for tech companies against faster channels, this is the honest version of the case. This covers the dated revenue timeline, the five content moves that line up with its jumps, and the tailwinds you can't borrow.
Plausible Analytics Published a Dated Revenue Timeline
Plausible Analytics put its revenue path in public, month by month, in a June 2022 post titled How we built a $1M ARR open source SaaS. The rows below are its own figures, each paired with the content marketing or product event the team logged beside it.
| Month | MRR | What the team logged |
|---|---|---|
| May 2019 | $64 | Paid plans launched to 60 beta users |
| February 2020 | $403 | Search for a marketing co-founder |
| April 2020 | $607 | Post against Google Analytics tops Hacker News |
| May 2020 | $1,055 | Featured on OpenSource.com |
| January 2021 | $11,303 | Costs covered for the first time |
| August 2021 | $35,713 | Adblocker study published |
| October 2021 | $42,624 | $500k ARR reached |
| June 2022 | $83,637 | $1M ARR, 7,000+ paying subscribers |
The shape matters more than any single row. It took 324 days after paid plans launched to reach the first $400 MRR, then nine months to reach $10,000, ten more to reach $500k ARR and eight more to reach $1M.
The traffic was public too, through a shared Plausible dashboard, so anyone could check the story against the stats. Today the company's About page lists more than 21,000 paying subscribers and a team of 10, and says it has never spent a cent on advertising.
Five Content Marketing Moves Behind Plausible's Revenue Jumps
Five content marketing moves account for most of the early growth Plausible documented. None of them needed a budget, and each one has a date and a number you can check.
For each move you get what it was, how the team ran it, what happened, how you'd know it worked, and the mistake that sinks most copies of it.
1. Position Against the Market Leader in Plain Words
The move is naming the incumbent your buyer already uses and saying exactly where it falls short. After Saric joined in March 2020, the homepage headline changed from a generic description of simple analytics to a direct claim: a simple, privacy-friendly alternative to Google Analytics.
The team backed that with product pages for each point of difference and a head-to-head comparison. On April 8, 2020 Saric published Why you should stop using Google Analytics on your website, which reached the top of Hacker News and brought more than 25,000 visitors in a single day.
His write-up of that relaunch week puts the result in context. The site had 27,300 unique visitors in about 15 months before it, then more than 48,000 in the first week after, and the 166 new trials that week beat the previous four months combined.
Revenue followed with a lag, because trials ran for 30 days. MRR went from $433 in March to $607 in April and $1,055 in May.
How to tell it worked: trials and branded searches move, not just page views. Saric noted that searches for the Plausible Analytics name went from 10 to 121 week over week.
The common mistake is pretending the leader doesn't exist, which Saric calls out directly. A fight also needs a real difference, because picking one on a feature you merely match invites a comparison you lose.
2. Promote Each Post After It Goes Live
Publishing is only half the job. As Marko Saric wrote in his April 2020 relaunch post, "The promotional work only starts after the blog post has been published."
The team shared that first post on Twitter, Mastodon, Indie Hackers, Lobsters, Hacker News and Reddit. Outreach counted as promotion too: most sites ignored the team's emails, but a feature on OpenSource.com produced 94 trial signups on May 2, 2020, still the best day for new trials when the $1M ARR recap was written.
You'll know promotion is working when referral sources other than search appear in your analytics within days of a post. The mistake is dropping the link everywhere at once, when the advice was to join the relevant communities, engage with them, and share only when you have something worth their time.
3. Put Your Point of View on News Your Buyers Follow
When a story breaks in your category, publish your interpretation of it rather than a recap. In April 2021 Plausible answered Google's FLoC announcement with a post on how to fight back against it, and more than 16,000 people read it that month.
A month later, when Google said AMP pages would lose preferential treatment in search, the team's Google AMP is dead post drew more than 35,000 readers within a couple of days. The recap's advice is to add your own angle instead of repeating what everyone else is reporting.
Saric is candid that these posts converted to trials less well than direct product posts like the one against Google Analytics. Their value was awareness, links and mentions that pay off later, so judge them on referring links and branded search, not same-week signups.
The mistake is chasing every headline. Both posts worked because each story was about Google's hold on the open web, the same concern Plausible's positioning was built on.
4. Publish Data Only Your Product Can Collect
Original research is the move with the clearest measured effect. In August 2021 Plausible compared its own counts with Google Analytics on a site that trended on Hacker News and Reddit, and found that 58% of those visitors blocked Google Analytics.
More than 30,000 people read the study in its first 24 hours, and trial signups rose by more than 100% over the next five days compared with the previous period. The finding also argued for the product, because it showed what a script that isn't blocked counts and a blocked one misses.
To run your own version, find a question your buyers argue about that your product data can settle, then publish the method, the setup and the limits with the number. You'll know it worked when other writers start quoting the figure.
The mistake is a thin survey dressed up as research. Plausible stated the timeframe, the site and the tracking setup, which is why the number travelled.
5. Make Your Progress Checkable in Public
Building in public was Plausible's first channel, not a later flourish. The public beta launched on Indie Hackers in January 2019, and the early users came from milestone updates on the blog, Indie Hackers and Uku Täht's Twitter account.
The code went open source in September 2019, and the company's own analytics dashboard was shared publicly. Saric described going open source as a way to build trust in a privacy-first market, since claims about data could be inspected rather than taken on faith.
How to tell it worked: people cite your numbers back to you in threads and replies. The mistake is selective transparency, posting the good months and going quiet on the flat ones, which Plausible's timeline avoids by naming its stagnant stretch too.
Search Traffic Compounded Quietly Behind the Viral Spikes
The Hacker News days get the attention, but search was the slower layer underneath Plausible's content marketing. The day before Saric joined, the site had 49 visitors and none from Google search, so his first goal was ten organic visitors a day.
Over the next four months the team published eight product pages of more than 1,000 words each and roughly one blog post a week. Clicks from Google went from just over 400 in the period before April 2020 to more than 6,000 in the period after, according to Saric's July 2020 growth write-up.
His research method was plain: Google autocomplete, the People Also Ask box and the related searches at the foot of each results page, folded into one longer post that answered all of them. Those are the same questions buyers now put to ChatGPT or Perplexity before anyone clicks.
That is where Better Marketing's AI SEO service starts too: the questions a buyer actually asks, answered on pages Google can rank and AI answers can quote. The pages still need an argument worth quoting, which is why Plausible's worked.
Launch Spikes Compared With Content That Kept Paying Back
One-day launches and content marketing both gave Plausible spikes, but only one kind kept sending people after the day ended. The team's own numbers show the difference.
| Channel | First result | What came next |
|---|---|---|
| Product Hunt, August 2020 | 1,000+ visitors, 15 trials | Under 20 visitors a few days later |
| OpenSource.com feature, May 2020 | 94 trial signups in a day | Still the top trial day two years on |
| Post against Google Analytics, April 2020 | 25,000+ visitors in a day | MRR from $433 to $1,055 by May |
| Search pages and posts, 2020 | 400 to 6,000+ Google clicks | A click or two a day per article, adding up |
Saric's verdict on launch platforms was that they give a project a spotlight for a day or two but aren't a sustainable way to acquire customers. The same pattern shows up in our teardown of PostHog's first 1,000 users, where a single launch mattered less than the onboarding work that followed it.
Tailwinds and Luck Did Work That Content Marketing Cannot Copy
Content marketing did not do all of it, and Plausible's founders say so. Saric's recap describes the first half of 2022 as a case of needing to be lucky, in the right place at the right time.
In January 2022 the Austrian data protection authority decided that using Google Analytics violated GDPR, and the French authority agreed in February. In March, Google announced the end of Universal Analytics with no import of old stats into GA4, and Plausible recorded its biggest month yet, $8,247 in net new MRR.
Other advantages came from no blog post at all. A developer co-founder built a product people recommended, a marketer joined when revenue had stalled near $400, and the two ran their personal savings down by more than $50,000 before the company covered its costs.
So the tactics transfer unevenly. They're weakest in four situations.
- Your category has no dominant incumbent, so a fight has no audience.
- Your product produces no data that settles a question buyers argue about.
- Your buyers don't gather in communities like Hacker News or Reddit, where a post can travel.
- You need pipeline this quarter, since Plausible's first $400 MRR took 324 days.
How to Run Plausible's Content Marketing Playbook Without Its Tailwinds
Run the same sequence at a smaller scale, and expect the order to matter more than any single post. With AI answers now sitting between many searches and the click, the aim is to be the source people and assistants quote, which is the shift behind why your startup blog is now a small publisher.
- Write one positioning sentence that names the incumbent and your one real difference, and put it on the homepage first.
- Publish one argument post against the default, then share it by hand in the two or three communities where your buyers already talk.
- Answer the questions from autocomplete and People Also Ask on pages that still make sense when quoted alone.
- Pull one number from your own product data each quarter and publish the method with it.
- Post your milestones where your first users found you, flat months included.
The same order is how to judge outside help. Good content marketing for tech companies starts from the positioning sentence, an AI SEO service earns its fee on the questions buyers really ask, and a B2B demand generation agency is worth hiring once there's trust to convert.
Plausible never bought its way to attention, and its About page still says so. Ads are rent. This is equity.
Publish Numbers People Can Check, Then Keep Publishing
Plausible's numbers make one case clearly: content marketing earns trust when every claim can be checked and every post takes a side. Start with the positioning sentence and one post a week, share each one by hand, and publish a number only your product can produce.
Once readers trust you, the job shifts from being found to turning that warm attention into first customers. That is the work Better Marketing does as a B2B demand generation agency, without ads.