Primary Challenge
Strong traffic and product quality, but revenue leakage due to:
- Conversion friction
- Poor clarity at key decision points
- Performance-related drop-offs
The Problem:
Despite good demand, Krvvy was facing hidden conversion leaks:
- Users hesitating before adding to cart
- Confusion around sizing and fit
- Weak articulation of brand differentiation
- Shopify theme performance limiting top-of-funnel efficiency
Our Solution:
Despite good demand, Krvvy was facing hidden conversion leaks:
- We set up a clean analytics & visibility layer through GA, GTM Tags, Clarity & Looker Dashboards.
- his ensured accurate event tracking, clear visibility into user behaviour, founder friendly reporting.
- We identified conversion leaks, using session recordings, heat maps, scroll depth analysis, and direct user feedbacks.
- Critical friction points indentified:
- - Size Fit uncertainity
- - Weak differentiation upfront
- - Performance bottlenecks
- Then we designed and shipped solutions to the above friction points, that results in success with above mentioned metrics.
Phase 1
Data & Insight Foundation
Despite good demand, Krvvy was facing hidden conversion leaks:
- Google Analytics (GA)
- Google Tag Manager (GTM)
- Microsoft Clarity
- Custom Looker Studio dashboards
This ensured:
- Accurate event tracking
- Clear visibility into user behavior
- Founder-friendly reporting without data overwhelm
Phase 2
Identifying Conversion Leaks
Using:
- Session recordings
- Heatmaps
- Scroll depth analysis
- Direct user feedback
We identified three critical friction points:
1. Size & Fit Uncertainty
Users were unsure:
- Which size to choose
- Whether the product would fit correctly
This caused hesitation at Add to Cart.
2. Weak Differentiation Messaging
Krvvy’s key strengths were not communicated clearly:
- What makes Krvvy different
- Why this product is better than alternatives
Users had interest—but not enough conviction.
3. Performance Bottlenecks
Shopify themes + high-quality imagery led to:
- Slow load times
- Higher bounce rates
Weaker engagement at the top of the funnel
Phase 3
CRO Interventions
✅ Simplified & High-Confidence Size Chart
- No confusing tables or grids
- Only crucial measurements
- Clear mapping to available sizes
Impact:
– Faster decision-making, reduced hesitation, and higher purchase confidence..
✅ Size Calculator Implementation
- We introduced a size calculator
- Helped users find their perfect fit instantly Impact:
- Clear mapping to available sizes
Impact:
– Lower cognitive friction & measurable lift in Add-to-Cart.
✅ Clear Differentiation & Messaging
- Product summaries
- Differentiation highlights
- Value propositions
So users immediately understood:
“Why Krvvy?” and “Why now?”
✅ Storefront Performance Optimization
- First Contentful Paint (FCP)
- Largest Contentful Paint (LCP)
- Overall load performance
Phase 2
Identifying Conversion Leaks
Using:
- Session recordings
- Heatmaps
- Scroll depth analysis
- Direct user feedback
We identified three critical friction points:
1. Size & Fit Uncertainty
Users were unsure:
- Which size to choose
- Whether the product would fit correctly
This caused hesitation at Add to Cart.
2. Weak Differentiation Messaging
Krvvy’s key strengths were not communicated clearly:
- What makes Krvvy different
- Why this product is better than alternatives
Users had interest—but not enough conviction.
3. Performance Bottlenecks
Shopify themes + high-quality imagery led to:
- Slow load times
- Higher bounce rates
Weaker engagement at the top of the funnel
The Result
+
0
%
Increase in Add-to-Cart rate after implementing our CRO optimizations.
+
0
%
Our CRO initiatives drove a 34%+ lift in conversion rate across PDPs.
+
0
%
Improved bounce rate by targeted performance optimizations.
+
0
%
Post-optimization, users spent 35% more time engaging with the site.
What this case study proves
- CRO is not about random UI tweaks
- Foundational clarity unlocks compounding growth
- Performance, psychology, and UIUX must work together
When leaks are fixed before scaling traffic, growth becomes predictable.
