Firecrawl Case Study

Firecrawl is a developer-centric data platform designed to bridge the gap between the unstructured web and the structured requirements of Large Language Models (LLMs). Firecrawl provides agents with three core endpoints for searching, scraping, and interaction with the web to get the agents whatever data they need. Its mission is to empower AI engineers, developers, researchers, SEO teams, sales representatives and more, by turning any website into clean, LLM-ready data with minimal friction.

Though Firecrawl’s organic presence was strong, and its platform was popular and effective, growth had essentially stalled. Their ambition was to aggressively expand its user base as AI training became more complex, and LLM development became more widespread. They aimed to achieve this aggressive growth goal through paid advertising, which they had never done before.

Starting with keyword research, we quickly identified Firecrawl’s core competencies and honed in on a set of high-intent paid keywords to target via Google Ads. Our strategy was to focus on demand capture, as the need for web scraping and data extraction platforms was growing by 10%+ monthly, meaning there was a sizable lower-funnel audience to engage with. We then built their ads campaign from the ground up, building the campaign architecture, developing the ad copy and landing page copy, and setting up conversion tracking for free trials, paid subscription and subscription plan upgrades.