Samurai Fireworks
Back to Portfolio
WooCommerce Store Audit & Optimization

Samurai Fireworks

WooCommerce Performance Audit & Checkout Optimization

Client Samurai Fireworks
Year 2024
My Role WooCommerce Developer
Tech Stack
Action Scheduler Caching MySQL Performance Optimization PHP Query Monitor Redis WooCommerce
WooCommerce Store Audit & Optimization
Custom WordPress Plugin Development
WooCommerce API Integrations
WooCommerce Performance Troubleshooting
E-commerce Automation Workflows

Diagnosed and resolved critical WooCommerce performance issues causing high checkout abandonment at a seasonal high-traffic fireworks retailer — cutting page load times from 8 seconds to under 2.

What was the problem?

Samurai Fireworks sees its highest traffic during the July 4th season, but checkout was painfully slow — sometimes 8–10 seconds to load the cart and payment pages. Customers were abandoning before completing purchase. The store ran dozens of plugins with no object caching, and the WooCommerce admin was unusably slow during peak days.

How I solved it

I performed a full WooCommerce audit using Query Monitor and server logs. I found N+1 queries in the cart session handler, unoptimized product meta queries, and blocking external API calls during checkout. I implemented Redis object caching via wp-redis, rewrote the problematic cart hooks, deferred non-critical external calls to WooCommerce's action scheduler queue, and removed conflicting plugin combinations.

Checkout page load dropped from 8 seconds to under 2. Completed order rate increased 18% in the first season after the fix. The WooCommerce admin became usable again and the team could manage products during peak traffic without timeouts.

  • Checkout page load reduced from 8s to under 2s
  • Completed order rate increased 18% in first post-fix season
  • WooCommerce admin fully usable during peak traffic
  • Redis object cache reduced database query volume by 60%
  • Eliminated timeout errors during July 4th peak days
  • Query Monitor profiling to identify N+1 query patterns
  • Redis object caching with wp-redis drop-in
  • Custom action scheduler jobs for post-checkout API calls
  • Hook-level deferral of non-critical checkout processes
  • WooCommerce session handler and cart query optimization
  • Plugin conflict audit and resolution
  1. Diagnose

    Understand the real business problem, user flow, and technical constraints before touching code.

  2. Plan

    Choose the cleanest technical approach, identify dependencies, and define what success looks like.

  3. Build

    Create custom WordPress/PHP solutions, plugins, integrations, or automations using best practices.

  4. Test

    Validate edge cases, staging behavior, logs, checkout flows, order statuses, and user roles.

  5. Deploy

    Release carefully with rollback awareness, staging verification, and clear documentation.

  6. Improve

    Monitor, optimize, and refine based on real usage, client feedback, and production behavior.

Action Scheduler Caching MySQL Performance Optimization PHP Query Monitor Redis WooCommerce

How AI accelerated this work

Faster diagnosis

AI tools helped me review error logs, trace query patterns, and generate diagnostic hypotheses in minutes rather than hours — so I could focus on fixing, not searching.

Code review & edge-case validation

I used AI to audit integration logic, catch silent failure paths, and validate that custom hooks would hold up under different WooCommerce states before going live.

Documentation & handoff

AI-assisted documentation made the final plugin handoff clear and actionable for the client's internal team — reducing support questions after delivery.

Have a similar challenge?

I help e-commerce teams solve the technical problems that cost them time and revenue. Let's talk about yours.