Acquired a blog with 400,000 annual pageviews in 6 days. Cut 550 articles down to 100, and visitors rose to 120% in 2 months
A company employee acquired a blog and YouTube channel with 400,000 annual pageviews as a side business. It closed in 6 days from buy offer to deal. After taking over, he trimmed 550 articles down to 100 and rewrote them, splitting the site into 3 categories. Two months after handover, visitor numbers had risen to 120%.
A headline like “closed in 6 days” reads as an impulsive purchase. But reading the interview shows the sequence runs the opposite way. While browsing listings as a free TRANBI member, the buyer had already fixed six conditions for a business he’d be willing to buy. Because the conditions were set first, there was no hesitation when a matching deal appeared. That’s the true story behind those 6 days.
The interview, published by TRANBI in October 2021, features Ryota Terakado, then 32, head of the customer success division at Hey Inc. (which operates the STORES platform). A company employee running three side businesses alongside his main job bought “a blog for programming-learning and aspiring-entrepreneur readers” and “a YouTube channel,” growing visitor numbers to 120% within 2 months of taking over. Here’s a breakdown of that record.
The timeline from acquisition to 2 months later
| Phase | Content |
|---|---|
| Premise | Main job: company employee (9 hours, weekdays). Side business: management consulting for 5–6 startups |
| Deal search | Screens listings as a free TRANBI member. Upon finding “this is it,” upgrades to a paid membership and submits a buy offer |
| Negotiation | 6 days from buy offer to close |
| Target | An IT / aspiring-entrepreneur blog with 400,000 annual pageviews. 550 published articles. Also acquires an accompanying YouTube channel |
| Price | No amount stated in the article. He proposed a discount, but agreed to the asking price as-is |
| Handover | Seller sets a 1-month support period after the transfer |
| Right after taking over | Reads through all 550 articles, narrows to about 100 that match the direction, and rewrites them |
| Restructure | Changes to a 3-category structure — “startup career moves,” “entrepreneurship,” “programming learning” — and introduces affiliate ads |
| After 2 months | Visitor numbers reach 120% |
Working time is 1 hour a day, 5–10 hours a week, concentrated into weekends when he wants to batch it.
The nature of the asset he bought
The seller was a startup founder who ran this blog as “an acquisition channel for our core business.” A shift in the business meant the acquisition channel was no longer needed, which is why it was sold. In other words, this blog had never been monetized through affiliate income or the like.
This is where valuation gets difficult. As the buyer himself put it, “evaluating it based on current revenue was hard,” leaving the question of how to price an asset with no earnings track record. His approach was to have the seller show him the blog’s analytics tools during negotiation, and from there “estimate the site’s potential revenue and judge whether the price was appropriate.” The analytics tool happened to be the same one he used in his main job, so he knew which data to look at, and the check went smoothly.
On the discount question, he decided to proceed at the asking price after learning that a rival buyer had already accepted the seller’s asking price as-is, and after hearing the seller say, “I’d like to hand this to someone who’s satisfied with the asking price and can move quickly.”
Where the tide turned
The moment the numbers moved is clear: after taking over, he narrowed 550 articles down to 100 and changed the site structure to 3 categories. As a result, “it became easier for visitors to find the article they wanted to read,” and visitor numbers rose to 120% two months after handover. The work of cutting article count by 80%, from 550 down to 100, is what translated into higher visitors.
But there’s another branch point before that. It’s that he put his selection criteria down on paper before looking at deals. The buyer had previously experienced a failure right after taking a marketing role, spending 6 million yen on ads within a limited budget with almost no response. From that, he realized his own tendency: “in an area I don’t know well, everything looks appealing, and I can’t make a proper judgment.” He admits that browsing the deal notifications TRANBI sends daily with high motivation would make him think “this is all great.”
So he set the following six criteria: limited to internet services; areas where his main-job skills apply. IT and career-change, not overly dependent on one specific person. High customer engagement (time on site, number of articles read). Able to acquire users organically without relying on ads, and revenue/profit not included as a criterion.
Breaking down why it finished in 6 days
The target was an individual-scale business with no employees. As he put it himself, “since I’m not buying a company with employees, financial condition, business risk, and legal checks could all be kept to a minimum.” The speed came not from negotiation skill but from the structure of the target itself.
Preparation helped as well: he had documented what he needed to ask in advance. Since this was his first M&A and he didn’t know the process, he made “a list laying out everything I wanted to ask” at the buy-offer stage and worked through it point by point in negotiation. Once terms were agreed, he made a to-do management sheet in Google Sheets and shared it with the seller, checking off tasks together.
The seller, for his part, was a startup founder in an industry close to his own main job, keeping the cost of conversation low. There was some confusion over how to execute the business transfer contract, and server migration took effort, but he says there were no major issues.
And fourth, excluding revenue track record from the criteria mattered. For a buyer who can say “I’m not particularly bothered that current revenue is close to zero,” a zero-revenue blog becomes a viable target. Put another way, what he valued wasn’t current cash flow but the 400,000-pageview inflow and whether he could apply his own skills to capture the upside.
Points to discount
What this case shows is limited to the change in visitor numbers, neither the acquisition price nor the post-acquisition revenue amount has been disclosed. “120% visitors” is not “120% revenue.” Affiliate ads were only added after handover, and at the article’s writing, monetization is still at a validation stage. He himself says his initial concept was to turn the blog into an acquisition channel for his consulting business, but judging that he didn’t have enough of his own resources to build out that funnel, he reset his near-term ideal to “the blog earning on its own.”
This M&A itself, in his own words, is a “validation.” The design is to buy two businesses at the multi-million-yen scale, spend 1–2 years confirming whether individual M&A can really work, and, if it feels promising, move up to the ten-million-yen scale. It’s more accurate to read this as an early-stage report from an ongoing experiment than as a success story.
What’s replicable, what isn’t
What’s easy to replicate is the procedural side: writing your selection criteria into roughly six points before looking at listings, making a list of questions before the buy offer, and after taking over, doing a full read-through of existing content to decide what to keep. None of this requires capital or connections. Reading all 550 articles is unglamorous work anyone can do, and in this case it was exactly that work that moved the numbers.
What’s harder to replicate is the underlying conditions. Having main-job income means being able to say “I don’t mind zero revenue”, which greatly widens the range of viable deals, but isn’t a stance available to someone who needs to earn a living from this. Next, a flex-time work environment that lets him slot side-business work into weekday daytime hours. Further, that the seller’s analytics tool happened to be the same one he was already used to at his main job, and that the seller was a startup founder in the same industry making conversation quick. These aren’t conditions you can engineer on demand. The domain knowledge to write specialized articles himself and outsource generic ones to crowdsourcing is likewise built on the IT/career-change selection criteria itself.
In short, these 6 days were made half of luck and half of preparation. Only the preparation half is replicable.
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