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BearGorilla Case Study

From marketing requirements to production-ready Astro implementation, with a performance and conversion-first execution path.

OVERVIEW

Problem → Approach → Decisions → Outcomes

Problem: Prior web pages were content-heavy but slow, with weak message hierarchy and low conversion clarity.

Approach: Rebuilt key pages in Astro with componentized sections, simplified narrative flow, and focused CTAs.

Decisions: Optimized rendering strategy, reduced dependency overhead, and standardized reusable layout blocks.

Outcomes: Faster interaction readiness, cleaner information flow, and improved lead-path clarity across key pages.

STACK

Technical Stack

  • Astro
  • TypeScript
  • Tailwind CSS
  • Component-driven page composition
  • Technical SEO architecture
PERFORMANCE

Performance Snapshot

BearGorilla Lighthouse performance report
Captured screenshot from BearGorilla production sections highlighting process and CTA treatment.

Measured Improvements

  • • 95+ Lighthouse performance score on key landing pages.
  • • Reduced JS payload through Astro-first rendering strategy.
  • • Improved Largest Contentful Paint by simplifying above-the-fold layout.
  • • Strengthened Core Web Vitals consistency across mobile templates.
TECHNICAL DECISIONS

Architecture + Conversion Strategy

BearGorilla architecture and page layout preview

The architecture favored maintainability and speed: modular section components, clear data ownership, and predictable page composition for future iteration.

Conversion strategy centered on one clear CTA per page segment, reduced cognitive load in content blocks, and stronger trust signals near call-to-action areas.

IMPROVEMENTS

What I'd Improve Next

  • • Add A/B test hooks for hero copy and CTA variants.
  • • Expand analytics events to map scroll-depth and form abandonment.
  • • Build a reusable schema generator for project and service pages.
  • • Add visual regression checks for key conversion templates.