inne.io CRO Case Study: Optimizing Conversion for a Femtech Pioneer
Executive Summary
This case study documents the conversion rate optimization (CRO) strategy implemented for inne.io, a Berlin-based femtech company pioneering hormone-tracking technology through saliva testing. With an overall conversion rate of 1.76% and significant funnel drop-offs, the project aimed to increase conversion rates through data-driven testing and optimization.
Key achievements:
- Identified critical funnel drop-offs at product page (66.1%) and checkout (37.1%)
- Developed and implemented a comprehensive testing strategy focused on mobile optimization (91.6% of traffic)
- Conducted strategic A/B tests targeting key conversion barriers
- Achieved 14.6% increase in purchase revenue through above-fold CTA placement
- Established a structured testing framework for continuous optimization
Client Overview
Inne is a Berlin-based femtech company offering the world's first at-home device to measure progesterone levels via saliva samples. Their flagship product, the inne minilab, consists of a reader device, saliva test strips, and a companion app that provides personalized insights into menstrual cycles for fertility tracking and ovulation prediction.
Key Differentiators:
- Non-invasive saliva-based hormone tracking
- Individualized progesterone curve monitoring
- Scientific approach to fertility awareness
- Subscription-based model with reader device and regular strip delivery
Initial Situation & Challenges
The initial analysis revealed several critical issues affecting conversion performance:
Baseline Metrics:
- Overall Conversion Rate: 1.76%
- Total Users: 84,408
- Total Conversions: 1,484
- Average Order Value: €129.97
- Total Revenue: €192,877.05
Critical Challenges:
1. High Funnel Drop-offs:
- Product Page to Cart: 66.1% drop-off rate
- Checkout to Purchase: 37.1% drop-off rate
2. Device Usage Imbalance:
- Mobile: 91.6% of traffic (primary platform)
- Desktop: 8.4% of traffic
3. Technical Issues:
- Inconsistent tracking implementation
- Tracking discrepancies in checkout flow
- Duplicate purchase events
4. User Experience:
- Low engagement time on product pages (26-40 seconds)
- Limited educational pathways
- Key CTAs positioned below the fold
- Lack of clear social proof elements
Strategy & Approach
Based on the comprehensive analysis, we developed a multi-faceted optimization strategy:
1. Optimization Framework
We established a systematic approach to testing and optimization:
- Fixed analytics implementation issues to ensure accurate tracking
- Segmented traffic by device type, prioritizing mobile (91.6% of traffic)
- Implemented the PIE (Potential, Importance, Ease) framework for test prioritization
- Adopted an overlapping test strategy to maximize experimental power
2. Key Focus Areas
The strategy targeted five critical conversion elements:
Mobile Experience Optimization
- CTA size and placement adjustments
- Above-fold content prioritization
- Touch-friendly interface elements
Trust Building
- Social proof implementation (Google reviews, testimonials)
- Clear value proposition communication
- Trust badge optimization
Product Page Enhancements
- Pricing display improvements
- Plan selection optimization
- Educational content integration
Purchase Path Simplification
- Checkout CTA optimization
- Direct purchase options
- Reduced friction points
Educational Pathways
- Secondary CTAs for product education
- Video explanations of the product
- Clearer visualization of the saliva testing process
Key Tests & Results
Test 1: CTA Above Fold Placement
Hypothesis: Moving the hero CTA above the fold will increase engagement and purchase rates by making the action point immediately visible upon page load.
Results:
- Purchase Revenue: +14.6% (€3.14 → €3.61 per visitor)
- Checkout Started: +23.8% (€10.03 → €12.42 per visitor)
- CTA Click Rate: +10.29% (9.14% → 10.08%)
- 24-Month Plan: +18.24% conversion increase
- 12-Month Plan: +36.15% conversion increase
Learning: Immediate visibility of primary action points significantly impacts the entire conversion funnel, with particularly strong effects on premium subscription plans.
Test 2: Subscription Plan Reordering
Hypothesis: Moving the 24-month subscription plan to the first position will increase its visibility and perceived prominence, leading to higher selection rates for this high-value plan.
Implementation:
- Control: 3-Month → 12-Month → 24-Month
- Variation: 24-Month → 12-Month → 3-Month
Key Insight: Presenting the highest-value option first helps anchor customers' expectations and increases premium plan selection rates.
Test 3: Mobile CTA Size Optimization
Hypothesis: Increasing the CTA width to 300px will improve its visibility and create a more prominent visual and tap target, particularly benefiting mobile users.
Focus Area: Optimizing for the 91.6% of users on mobile devices with larger, more visible primary action buttons.
Test 4: Trust Badge Implementation
Hypothesis: Adding a Google rating badge below the hero section will increase conversion rates by providing recognized social proof from a trusted third party.
Implementation:
- Added star rating display with review count
- Included Google logo as trust indicator
- Placed prominently below hero section
- Mobile-optimized for primary audience
Strategic Value: Leveraging recognized trust signals to build confidence earlier in the user journey.
Test 5: Pricing Presentation
Hypothesis: A consistent strike price across all plans combined with clear value indicators will increase longer-term plan adoption.
Variation:
- 3-Month Plan: 159€ → 149€ Reader (no badge)
- 12-Month Plan: 159€ → 119€ Reader ("BELIEBT" badge)
- 24-Month Plan: 159€ → 89€ Reader ("70 EUR READER ERSPARNIS" badge)
Focus: Creating clearer decision-making frameworks and highlighting value proposition of premium plans.
Strategic Outcomes
The CRO program delivered several key strategic outcomes beyond the immediate test results:
1. Established Testing Framework
- Implemented structured A/B testing methodology
- Created standardized test documentation
- Developed clear success metrics hierarchy
2. Analytics Infrastructure
- Fixed tracking implementation issues
- Implemented proper funnel visualization
- Established device-specific tracking
3. Device Strategy Validation
- Confirmed mobile-first approach (91.6% of business)
- Created device-specific optimization roadmap
- Identified device-specific user behaviors
4. Revenue Impact
- Improved primary conversion rate
- Shifted plan distribution toward higher-value subscriptions
- Increased average order value
5. Testing Velocity Increase
- Embraced overlapping tests philosophy
- Reduced time-to-insight
- Accelerated implementation cycles
Key Learnings & Insights
The optimization program yielded several valuable insights for ongoing and future optimization:
1. Mobile Dominance
- 91.6% of traffic comes through mobile, making mobile optimization critical
- Mobile users have fundamentally different engagement patterns
- Mobile-first design significantly outperforms desktop-adapted layouts
2. Value Communication
- Clear presentation of long-term value drives premium plan adoption
- Explicit savings messaging outperforms percentage-based discounts
- Social proof elements have higher impact on high-consideration purchases