The storyHow they got there
Andrew Davison built Data Fetcher after identifying a timing gap: Airtable was exploding in 2020, but the ecosystem of tools around it was trailing by 12–18 months. Nobody had built the obvious "pull data into Airtable from APIs" extension that power users needed.
The first ten customers came from posting in Airtable Slack and Reddit communities offering early access. The first hundred came from the Airtable Marketplace itself — the extension put in front of exactly the right users at exactly the right moment. No cold outreach, no ads, no SEO content. Just placement inside the platform with a self-evident product.
At maturity, the channel mix: Airtable Marketplace listing (~45%), per-integration landing pages for SEO ("import Stripe to Airtable", "import Google Analytics to Airtable") (~30%), YouTube tutorials and Andrew's personal content (~15%), and word-of-mouth in the Airtable consultant community (~10%). Cold email was killed as low ROI. Per-integration landing pages and the Airtable ecosystem were doubled down on.
Unit economics: CAC around $30–80, ARPU around $25/month, LTV around $400–600, and free-to-paid conversion around 5–8%. Each new API integration — Stripe, Google Analytics, HubSpot — became its own landing page and SEO target. Being the default solution within Airtable's ecosystem is the moat. By 2024, reportedly $30–50K MRR.
Channel MixWhere the growth actually came from
Most case studies hand-wave channels. Here's the rough allocation — not in dollars spent, but in users acquired — across the routes that actually mattered.