Overview
Mobile conversion rates were underwhelming despite strong mobile traffic and signups. Analysis through Mixpanel revealed that the pricing page had low visibility and a high drop-off rate, particularly on mobile devices.
Problem
Mobile conversion rates were underwhelming despite strong mobile traffic and signups. Analysis through Mixpanel revealed that the pricing page had low visibility and a high drop-off rate, particularly on mobile devices.
Hypothesis
We hypothesized that:
- Making the pricing page more discoverable in the navigation would increase traffic to it.
- Collapsing detailed features by default would simplify user choices, leading to higher conversions.
Approach
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User Behavior Analysis:
Utilized Mixpanel and heatmaps to study traffic patterns and identify low-activity areas ("cool zones ") on CTAs.
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Navigation Optimization:
Re-ordered mobile navigation bar items — placed the menu first, removed the dashboard, and moved account access to the end.
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Pricing Simplification:
Defaulted to collapsed pricing features to reduce visual clutter, showing only pricing cards upfront.
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Prioritization:
Given the expected impact, this task was pushed ahead of other development tasks.
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Monitoring &Iteration:
Tracked mobile conversion metrics post-release to evaluate effectiveness.
Outcomes
Conversion rates show a clear upward trend after mobile-specific enhancements, indicating positive user response to the changes.
Note:
Actual numbers are intentionally hidden to protect sensitive business information and ensure confidentiality.
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Traffic to Pricing Page:
Increased significantly due to better placement in the nav bar.
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Conversion Rate: Increased by ~75%
from the January baseline to the peak post-implementation in Q1 2025
Key Learnings
- The issue wasn 't rooted in user activation or engagement, but in navigational discoverability and decision overload.
- Minor UX/UI adjustments, especially on mobile, can yield disproportionately large business outcomes.
- Product analytics tools like Mixpanel are invaluable in uncovering user behavior patterns.