A fintech startup earned its first 40 referring domains without paying for a single link

Representative examplesEvery case study in this library is an illustrative composite of the kind of engagement we deliver — written to show our method and standards, not to name clients.

Where they started

Nobody buys payments infrastructure from an invisible company, and this startup was invisible: its product had been cited in blog posts it sponsored and nowhere else. The founders had refused every SEO proposal that involved buying links — on principle, not budget — which left the standard playbook unusable. Meanwhile the team sat on genuinely interesting data: anonymized transaction-pattern analysis that trade journalists would actually cover if anyone ever packaged it. Founder availability for interviews was capped at two hours a month, total.

What it was costing

The startup's product was cited in blog posts it had sponsored and nowhere else. Domain authority didn't exist for its commercial terms, and every SEO proposal had involved buying links — which the founders rightly refused.

What they could see

• Every link to the site traced back to something the company had paid for; nothing was earned.
• Commercial terms returned competitors with weaker products and stronger link profiles on page one.
• Prospects researching the company after a demo found sponsored posts and silence — no independent coverage anywhere.
• Trade journalists in the space had never heard of the startup, and the team had no list of who to tell.

The constraints we worked inside

• No sponsored placements — the founders were explicit that paid links were off the table on principle.
• The team's data was genuinely interesting (anonymized transaction-pattern analysis) but had never been packaged.
• Founder time for interviews was capped at two hours a month.

What had been tried before

An SEO vendor pitched a link-building package with a tiered price list per domain authority bucket.

It priced exactly what the founders would not buy, offered no alternative, and the engagement ended at the proposal — leaving the underlying absence untouched.

The team published the transaction-pattern data as three raw blog posts of tables and percentages.

Number dumps without a story or a hook give journalists nothing to lift; the posts earned a handful of visits, zero coverage, and the data stayed buried.

What we proposed

We proposed turning the data into stories worth covering: two data studies shaped from the startup's own anonymized aggregates — specific numbers, honest methodology, the kind of findings trade press cites rather than summarizes. Outreach would target the trade and vertical publications its buyers already read, with expert-commentary offers filling the gaps between data releases. Founder time would be protected: commentary templates prepared in advance so the two monthly hours produced answers, not drafts. Reporting would log every referring domain monthly, including the pitches that went nowhere.

Just as important is what we ruled out, and why:

• Sponsored placements with clear disclosure — The founders treat paid placement as the problem being escaped, not a channel; more spend in the same mechanism could not build the earned authority the category lacks.
• Mass press-release wire distribution — Wires earn syndication copies that inflate link counts while real journalists ignore them; the founders wanted coverage their buyers read, not a dashboard that flatters.
• Daily responses to journalist-query services — With two founder hours a month, shotgun commentary burns the entire cap on topics outside the startup's authority; commentary had to target the beat the data serves.

How the work ran

Delivered by the growth pod — digital PR strategist over 12 weeks, with working increments reviewed with the client every week.

The stack, and the reasoning

Data studies

The startup's differentiator is its data; two shaped studies gave journalists specific, defensible numbers to cite — the asset every other tactic in the plan depends on.

Digital PR outreach

Trade and vertical press earns links with the buyers attached; pitches carried the studies themselves rather than requests for coverage of a product page.

Referring-domain tracking

The founders refused vanity reporting; tracking domains and their context showed earned authority accruing — and caught syndication copies that looked like coverage but linked nowhere.

Coverage log

A monthly log including failed pitches kept expectations honest and built a reusable pitch record the team can run without us after handover.

What went wrong

How we worked together

Cadence

A fortnightly 30-minute call alternating between the head of growth and a founder; a monthly earned-media report covering domains, coverage, and dead pitches.

Client side

The head of growth owned the coverage log and outreach approvals; a founder gave two hours monthly for interviews and quote sign-off.

Decisions

Story selection followed the numbers that were defensible and the beats the data served; anything touching sensitive aggregates needed the founder's explicit yes.

They provided

Anonymized data extracts, legal review time, the founder's capped hours, and visibility into the product roadmap for embargo angles.

What changed

The headline: referring domains from non-sponsored coverage, over 12 weeks — 3 → 43, read from Backlink index. A second check: trade-press features including at least one founder quote at 9.

Journalists email the startup for commentary now, which changes how a founder's week feels — the coverage arrives instead of being chased. The trades the founders actually read have carried the studies, and sales drops the links into prospect decks without a disclaimer. The 'just buy links' conversation is dead internally, not because anyone won an argument but because the alternative visibly works.

The result was read from Backlink index against the pre-engagement baseline over the stated window, with a guardrail check on trade-press features including at least one founder quote. Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.

What they own now

• The two data studies with their methodology notes
• The pitch log with outcomes, including every dead end
• The founder commentary templates by theme
• The referring-domain dashboard with syndication copies filtered out
• The media list with beats and last-contact dates