App Optimisation: £9M+ Revenue Uplift through UX Experimentation
TikTok Shop: Scaling Social Commerce to Multi-Million-Pound Growth
App Optimisation: £9M+ Revenue Uplift through UX Experimentation
The Challenge
With over 4.8M user sessions each week, PLT’s mobile app was a key growth driver. To accelerate performance, we needed to turn customer insights into high-velocity experimentation that boosted conversion and retention without disrupting experience.
My Role & Approach
I led the App Optimisation squad, managing the full experimentation lifecycle. Using GA4, Contentsquare, and post-checkout surveys, I identified friction points and prioritised a backlog of 30+ A/B tests.
I worked with UX to design and validate test hypotheses, reviewed Figma prototypes, and authored dev-ready Jira specs with clear acceptance criteria. Using Firebase Remote Config, we eliminated App Store bottlenecks, enabling 4–6 tests per sprint across several markets.
I also oversaw UAT sessions, tracked results, and maintained fast feedback loops with stakeholders to drive continuous learning and iteration.
The Outcome
✓ ~£9M annual revenue uplift (extrapolated from winning tests)
✓ 30+ UX experiments shipped, ~65% success rate
Key wins included:
• Introduced sticky add-to-bag → ~10% add-to-cart uplift
• Enhanced product gallery interaction → ~20% engagement increase, +5% conversions
• Added low-stock prompts → ~15% drop in cart abandonment
• Simplified checkout flow for a smoother purchase experience → ~8% uplift in checkout completion
All metrics are approximate and based on internal post-launch analysis.





The Challenge
With over 4.8M user sessions each week, PLT’s mobile app was a key growth driver. To accelerate performance, we needed to turn customer insights into high-velocity experimentation that boosted conversion and retention without disrupting experience.
My Role & Approach
I led the App Optimisation squad, managing the full experimentation lifecycle. Using GA4, Contentsquare, and post-checkout surveys, I identified friction points and prioritised a backlog of 30+ A/B tests.
I worked with UX to design and validate test hypotheses, reviewed Figma prototypes, and authored dev-ready Jira specs with clear acceptance criteria. Using Firebase Remote Config, we eliminated App Store bottlenecks, enabling 4–6 tests per sprint across several markets.
I also oversaw UAT sessions, tracked results, and maintained fast feedback loops with stakeholders to drive continuous learning and iteration.
The Outcome
✓ ~£9M annual revenue uplift (extrapolated from winning tests)
✓ 30+ UX experiments shipped, ~65% success rate
Key wins included:
• Introduced sticky add-to-bag → ~10% add-to-cart uplift
• Enhanced product gallery interaction → ~20% engagement increase, +5% conversions
• Added low-stock prompts → ~15% drop in cart abandonment
• Simplified checkout flow for a smoother purchase experience → ~8% uplift in checkout completion
All metrics are approximate and based on internal post-launch analysis.

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Built by Amy Adams
Built by Amy Adams
Built by Amy Adams
© 2025 ProductByAmy.
All Rights Reserved.
Built by Amy Adams
© 2025 ProductByAmy.
All Rights Reserved.