The problem: high CAC and paid ad dependency
AcmeCorp was entirely reliant on paid search and social to acquire developers. Their blended CAC had ballooned to $1,200, making their self-serve tier completely unprofitable. They had a great product, but zero organic moat.
They tried running a standard blog, but writing generic guides wasn't working. The SERPs were too competitive, and the traffic they did get had no intent to buy.
The hypothesis: programmatic integrations
Developers don't search for broad concepts when they are ready to buy. They search for specific integrations: "How to connect Stripe to Next.js" or "Supabase auth with Tailwind".
Instead of writing manual blog posts, we decided to engineer a programmatic SEO architecture. We would leverage their existing database of 5,000 tool integrations to generate highly specific, value-driven landing pages for every possible permutation.
The intervention: Next.js + Sanity CMS
We built a headless architecture:
- CMS: Sanity served as the central source of truth for the integration data.
- Frontend: Next.js App Router using
generateStaticParamsto build 5,000 pages at the edge. - Design: We used Tailwind CSS to ensure the programmatic pages didn't look like generic spam, but rather high-quality documentation.
The outcome: predictable pipeline
Within 6 months, Google indexed the new architecture. Because these pages targeted extremely low-competition, high-intent queries, they ranked on page 1 almost immediately.
Organic traffic grew by 314%, but more importantly, the signups from this traffic converted at 3x the rate of paid traffic. This single engineering sprint added $42,500 in new MRR.