E-Commerce4 months engagement

DTC Beauty & Skincare Store

QA for a fast-growing direct-to-consumer beauty brand with international shipping, influencer-driven traffic spikes, and complex bundle pricing logic. The brand had a loyal following on social media, and every product launch was amplified by influencer partnerships that could drive tens of thousands of visitors to the site within minutes. QA was critical because the combination of bundle discounts, subscription savings, and promo codes created a pricing rules engine that was surprisingly easy to break.

WebMobile WebFunctional QAPerformance Testing

Regions validated

100%

Pricing accuracy

3.2s

Load time (from 7s)

The Challenge

Viral Traffic Spikes

Influencer posts could spike traffic from 500 to 30,000 concurrent users in under five minutes. The site had to stay up.

Pricing Rule Complexity

Bundle pricing combined product bundles, subscription discounts, loyalty rewards, and influencer promo codes into a single cart total.

International Tax Rules

8+ shipping regions with region-specific tax rules. Getting EU taxes wrong meant regulatory trouble.

48-Hour Launch Windows

Marketing launched promo campaigns on short notice, sometimes giving engineering less than 48 hours to build and test.

Tools Used

Playwright

BrowserStack

Postman

Grafana

GitHub Actions

Playwright

BrowserStack

Postman

Grafana

GitHub Actions

Our Approach

How We Tested This Project

Pricing Logic Deep Dive

We mapped every discount type, bundle rule, and promo code combination into a matrix. Then we wrote data-driven tests that validated pricing accuracy across hundreds of cart configurations, including intentionally invalid combinations to verify the system rejected them correctly.

Performance Baseline and Optimization

Ran Lighthouse and custom load tests to establish performance baselines. We identified that three third-party scripts were adding 2.8 seconds to initial page load, and that unoptimized product images accounted for another 1.5 seconds. Reported findings with specific remediation steps.

Traffic Spike Preparedness

Simulated influencer-driven traffic patterns with rapid ramp-up to 30,000 concurrent users. We tested the full purchase flow under load, not just page loads, to make sure the checkout and payment processing could handle the volume without timeouts or cart data loss.

International Checkout Validation

Set up test scenarios for each shipping region with region-specific addresses, tax rules, and currency settings. We validated that EU VAT was calculated correctly, that duties and import fees were displayed where required, and that shipping estimates matched actual carrier rates.

Scope

What We Tested

01Bundle pricing and discount stacking accuracy across all valid and invalid code combinations

02International shipping and tax calculation for 8 regions including EU VAT handling

03Influencer landing page performance under sudden traffic spikes from social media posts

04Mobile checkout conversion flow with a focus on reducing friction for first-time buyers

05Product image gallery, video playback, and 360-degree product view functionality

06Third-party integration (Shopify Plus, ReCharge, Klaviyo, Yotpo reviews)

07Subscribe-and-save billing cycle accuracy including skip, swap, and cancellation flows

08Gift card purchase, redemption, and balance tracking across sessions

09Inventory sync accuracy between Shopify and warehouse management system

10Abandoned cart email trigger timing and personalization content accuracy

Impact

Results & Business Impact

7s → 3.2s Load Time

Identified render-blocking third-party scripts and oversized images that were more than doubling page load times.

Zero Site Outages

Six influencer campaigns completed with zero outages, compared to two outages in the month before we started.

100% Pricing Accuracy

All bundle and discount combinations validated. Customer complaints about overcharging were fully eliminated.

22% Subscription Growth

Subscribe-and-save program grew 22%, partly because billing reliability improvements reduced involuntary churn.

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