Scott Labz

Website Performance Optimization Case Study

Improving Digital Experiences Through Performance Optimization

Keeping a gameday storefront fast and reliable under sharp traffic spikes, not just on a quiet Tuesday afternoon.

Project Overview

Project Website Performance Optimization
Organization Hawkeye Fan Shop, The Official Retailer of the University of Iowa Athletics Department
Focus Load Speed, Caching, Asset Delivery, Peak-Traffic Reliability
Outcome A storefront that stays fast and stable through the heaviest traffic of the season

The Challenge

A retail site is only as good as its worst moment, and this storefront's worst moments arrive predictably - gameday, a roster announcement, a postseason run. A page that loads fine under normal browsing can slow to a crawl the instant thousands of fans hit the same product page at once.

Key challenges included:

  • Traffic spikes concentrated in short windows around live sporting events
  • Product and checkout pages that needed to stay fast even when demand jumped many times over baseline
  • Image-heavy merchandise pages that could easily slow load times if left unoptimized
  • A retail calendar with no room for downtime once a game started
  • A need for performance work that holds up over years of changing content, not just a single launch

The Approach

Performance work was built around the storefront's actual traffic pattern - sharp, predictable spikes - rather than average-day load.

Performance Auditing

Measured load speed and Core Web Vitals across key pages to identify where slowdowns were most likely to hurt conversion.

Caching & Asset Delivery

Implemented caching and image optimization so heavy merchandise pages loaded quickly even under a traffic surge.

Load Testing

Simulated gameday-level traffic ahead of high-demand dates to catch bottlenecks before fans ever hit them.

Ongoing Monitoring

Tracked performance continuously so degradation gets caught before it affects a live event.

The Solution

A performance-tuned storefront now holds up under gameday-level demand, keeping pages fast when the volume of visitors is at its highest.

Capability Impact
Fast Page Loads Product and checkout pages that stay responsive under peak traffic.
Optimized Asset Delivery Image-heavy merchandise pages that load quickly without sacrificing visual quality.
Verified Load Capacity Confidence the site holds up before a high-demand event ever begins.

The Results

With performance tuned for the storefront's actual traffic pattern, store and web performance have improved, gameday traffic has been handled without the site buckling under peak demand, and conversion has trended upward across departments over the course of the partnership.

  • Fast, stable page loads during peak gameday traffic
  • Gameday traffic handled reliably at peak demand
  • Upward conversion trends across departments
  • A performance-tuned storefront supporting ongoing email campaigns for gameday information, product drops, and student-athlete appearances

Approach & Capabilities

Performance Tuning

Core Web Vitals improvements targeted at the pages that matter most during gameday traffic.

Caching & Image Optimization

Efficient asset delivery that keeps merchandise pages fast without stripping out the visuals fans expect.

Load Testing

Simulated traffic spikes used to validate the site's capacity ahead of high-demand dates.

Scalable Hosting & Deployment

Deployment practices designed to keep the storefront stable as traffic scales up and back down.

Business Impact

Speed matters most exactly when it's hardest to maintain - the moment thousands of fans arrive at once. Tuning the storefront around its real traffic pattern, rather than an average day, meant the site stayed fast precisely when a slow page would have cost the most sales.

Through performance auditing, caching and asset optimization, and proactive load testing, this initiative created a performance foundation that has supported the partnership with Hawkeye Fan Shop and the University of Iowa Athletics Department since 2016.

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