In Q1 2023, the Superbuy product team leveraged spreadsheet-based analytics to overhaul key user experience bottlenecks in the mobile app. Our case study follows this 3-stage optimization cycle:

The Problem: Hidden "Global Trends" Section

Heatmap analysis via Superbuy spreadsheet revealed a critical UX blind spot - the bottom-positioned "Global Trends"

"Spreadsheet-generated time-on-page metrics exposed that 72% of users abandoned the homepage before reaching fold-level content," noted Product Lead Wang Wei.

The A/B Testing Solution

Using Superbuy's

The winning Option C

MetricImprovement
Homepage dwell time+121%
Add-to-cart rate+19%
Section CTR8.7%

Crash Log Cross-Analysis

We aligned version release data with crash statistics in Superbuy spreadsheet, identifying:

  1. Payment page crashes increased 40% after v4.2.1
  2. 15% checkout failures correlated with outdated fraud detection SDK

Prioritizing these fixes reduced payment failures by 62% within 2 sprint cycles.

Key Learnings

  • Spreadsheet trend formulas automatically flag design underperformers
  • Always correlate conversion metrics with technical stability data
  • Mobile interfaces require adaptive content presentation at each scroll depth

The full dashboard template is available for partners via Superbuy's optimization portal.