Home > Case Study
How Bavaria Trachten Achieved
a 22% Revenue Per Visitor (RPV)
Uplift with Strategic CRO Initiatives
RPV
22% Uplift in RPV
Projected Revenue
$187,487 for 2025 Year
Reduced bounce rate
X% reduced rate
13:13
Home > Case Study
How Bavaria Trachten Achieved
a 22% Revenue Per Visitor (RPV)
Uplift with Strategic
CRO Initiatives
RPV
22% Uplift in RPV
Projected Revenue
$187,487 for 2025 Year
Reduced bounce rate
X% reduced rate
13:13
Home > Case Study
How Bavaria Trachten Achieved
a 22% Revenue Per Visitor (RPV)
Uplift with Strategic CRO Initiatives
RPV
22% Uplift in RPV
Projected Revenue
$187,487 for 2025 Year
Reduced bounce rate
X% reduced rate
13:13
Year
Year
2024
2024
2024
2024
Industry
Industry
Bavarian Traditional Wear and Fashion
Bavarian Traditional Wear and Fashion
Bavarian Traditional Wear and Fashion
Bavarian Traditional Wear and Fashion
Target audience
Target audience
Modern consumers interested in traditional apparel, including festival and event-goers
Modern consumers interested in traditional apparel, including festival and event-goers
Modern consumers interested in traditional apparel, including festival and event-goers
Modern consumers interested in traditional apparel, including festival and event-goers
Key products
Key products
Bavarian-inspired clothing, accessories, and customization options
Bavarian-inspired clothing, accessories, and customization options
Bavarian-inspired clothing, accessories, and customization options
Bavarian-inspired clothing, accessories, and customization options
objective
objective
To increase Revenue Per Visitor (RPV) by 10–20% through AI-driven Multivariate Testing (MVT) and strategic A/B testing targeting key user experience pain points.
To increase Revenue Per Visitor (RPV) by 10–20% through AI-driven Multivariate Testing (MVT) and strategic A/B testing targeting key user experience pain points.
To increase Revenue Per Visitor (RPV) by 10–20% through AI-driven Multivariate Testing (MVT) and strategic A/B testing targeting key user experience pain points.
To increase Revenue Per Visitor (RPV) by 10–20% through AI-driven Multivariate Testing (MVT) and strategic A/B testing targeting key user experience pain points.
Challenges overview
Challenges overview
Declining Traffic and conversion rates due to seasonality.
Declining Traffic and conversion rates due to seasonality.
Declining Traffic and conversion rates due to seasonality.
Declining Traffic and conversion rates due to seasonality.
High bounce rates on collection and product pages.
High bounce rates on collection and product pages.
High bounce rates on collection and product pages.
High bounce rates on collection and product pages.
Complex navigation and low engagement with product information.
Complex navigation and low engagement with product information.
Complex navigation and low engagement with product information.
Complex navigation and low engagement with product information.
Takeaway
Takeaway
User-centric optimizations, particularly on Product Detail Pages (PDPs) and intent-based pop-ups, drove significant improvements in user engagement and conversions.
User-centric optimizations, particularly on Product Detail Pages (PDPs) and intent-based pop-ups, drove significant improvements in user engagement and conversions.
User-centric optimizations, particularly on Product Detail Pages (PDPs) and intent-based pop-ups, drove significant improvements in user engagement and conversions.
User-centric optimizations, particularly on Product Detail Pages (PDPs) and intent-based pop-ups, drove significant improvements in user engagement and conversions.
Key Results
RPV
RPV
RPV
22% Uplift in RPV
22% Uplift in RPV
22% Uplift in RPV
22% Uplift in RPV
Projected Revenue
Projected Revenue
Projected Revenue
$187,487 for 2025 Year
$187,487 for 2025 Year
$187,487 for 2025 Year
$187,487 for 2025 Year
Reduced bounce rate
Reduced bounce rate
Reduced bounce rate
X% reduced rate
X% reduced rate
X% reduced rate
X% reduced rate
Problem statement
Problem statement
Lack of clear and accessible product information.
Suboptimal mobile navigation and responsiveness.
Inefficient prioritization of testing during peak traffic periods.
Lack of clear and accessible product information.
Suboptimal mobile navigation and responsiveness.
Inefficient prioritization of testing during peak traffic periods.
Lack of clear and accessible product information.
Suboptimal mobile navigation and responsiveness.
Inefficient prioritization of testing during peak traffic periods.
Lack of clear and accessible product information.
Suboptimal mobile navigation and responsiveness.
Inefficient prioritization of testing during peak traffic periods.
Goals
Goals
Increase RPV by 10–20%.
Boost Add-to-Cart (ATC) rates and overall Conversion Rate (CVR).
Implement data-driven user experience (UX) optimizations for peak traffic periods.
Increase RPV by 10–20%.
Boost Add-to-Cart (ATC) rates and overall Conversion Rate (CVR).
Implement data-driven user experience (UX) optimizations for peak traffic periods.
Increase RPV by 10–20%.
Boost Add-to-Cart (ATC) rates and overall Conversion Rate (CVR).
Implement data-driven user experience (UX) optimizations for peak traffic periods.
Increase RPV by 10–20%.
Boost Add-to-Cart (ATC) rates and overall Conversion Rate (CVR).
Implement data-driven user experience (UX) optimizations for peak traffic periods.
Test Highlights
Test Highlights
What we did!
What we did!
What we did!
Maker Nav- Mobile
Maker Nav- Mobile
Maker Nav- Mobile
Details
Details
Added image-based navigation elements on mobile, allowing users to visually select categories, products, or collections directly from the main menu.
Added image-based navigation elements on mobile, allowing users to visually select categories, products, or collections directly from the main menu.
Added image-based navigation elements on mobile, allowing users to visually select categories, products, or collections directly from the main menu.
Added image-based navigation elements on mobile, allowing users to visually select categories, products, or collections directly from the main menu.
Color Variants
Color Variants
Color Variants
Details
Details
Added multiple colour variants to popular PDP items, allowing users to switch between colour options directly on the page.
Added multiple colour variants to popular PDP items, allowing users to switch between colour options directly on the page.
Added multiple colour variants to popular PDP items, allowing users to switch between colour options directly on the page.
Added multiple colour variants to popular PDP items, allowing users to switch between colour options directly on the page.
Key Results
Additional projected revenue per month: $3,599
Additional projected revenue per month: $3,599
Additional projected revenue per month: $3,599
ATC Rate: 7.40% Uplift/Drop: +18.4% (increase compared to baseline)
ATC Rate: 7.40% Uplift/Drop: +18.4% (increase compared to baseline)
ATC Rate: 7.40% Uplift/Drop: +18.4% (increase compared to baseline)
Conversion Rate: 2.11% Uplift/Drop: +10.5% (increase compared to baseline)
Conversion Rate: 2.11% Uplift/Drop: +10.5% (increase compared to baseline)
Conversion Rate: 2.11% Uplift/Drop: +10.5% (increase compared to baseline)
Average Value per Converted Session (AOV): $149.99
Average Value per Converted Session (AOV): $149.99
Uplift/Drop: +2.0% (increase compared to baseline)
Uplift/Drop: +2.0% (increase compared to baseline)
Average Value per Session: $3.16 Uplift/Drop: +12.1% (increase compared to baseline)
Average Value per Session: $3.16 Uplift/Drop: +12.1% (increase compared to baseline)
Average Value per Session: $3.16 Uplift/Drop: +12.1% (increase compared to baseline)
Learnings
Learnings
Adding color options in the buy box on PDP increased conversion rate by 18.4% compared to the control, highlighting that providing customization options positively influences user purchase decisions.
Adding color options in the buy box on PDP increased conversion rate by 18.4% compared to the control, highlighting that providing customization options positively influences user purchase decisions.
Pay in installment
Pay in installment
Pay in installment
Details
Details
Added clear “Pay in Instalments” information on PDPs for eligible products.
Added clear “Pay in Instalments” information on PDPs for eligible products.
Added clear “Pay in Instalments” information on PDPs for eligible products.
Added clear “Pay in Instalments” information on PDPs for eligible products.
Monk app -
cross sell and tiers
Monk app -
cross sell and tiers
Monk app -
cross sell and tiers
Test
Test
Cart Upsell
Cart Upsell
Cart Upsell
Cart Upsell
Format
Format
Directly Implemented
Directly Implemented
Directly Implemented
Directly Implemented
Details
Details
Conducted Via Monk App and integrated A/B test for testing different funnels
Conducted Via Monk App and integrated A/B test for testing different funnels
Conducted Via Monk App and integrated A/B test for testing different funnels
Conducted Via Monk App and integrated A/B test for testing different funnels
Results: 11th Oct - 30th oct 2024
Engagement details
Engagement details
Offer Views: 4,021 views
Offer Views: 4,021 views
Cross-Sell Items: 99 items bought.
Cross-Sell Items: 99 items bought.
Gifts Redeemed: 183 instances.
Gifts Redeemed: 183 instances.
Milestones Achieved: 119 completions.
Milestones Achieved: 119 completions.
Pay in installment
Details
Added clear “Pay in Instalments” information on PDPs for eligible products.
Learnings
Learnings
In the before period 1.57% of orders were with instalments and in the after period 1.87% orders with instalments. This is measured as factor of total orders because any user who noticed the instalment payment might not click on the element on PDP but later use it on checkout
In the before period 1.57% of orders were with instalments and in the after period 1.87% orders with instalments. This is measured as factor of total orders because any user who noticed the instalment payment might not click on the element on PDP but later use it on checkout
Key Results
RPV Increase: $3.05 from $2.48 (22% uplift).
RPV Increase: $3.05 from $2.48 (22% uplift).
Incremental Revenue: $187,487 projected for the 2025 peak season.
Incremental Revenue: $187,487 projected for the 2025 peak season.
AOV Improvements: Incremental gains from PDP optimizations and cross-sell strategies.
AOV Improvements: Incremental gains from PDP optimizations and cross-sell strategies.
ATC rates increased by 18% with PDP color variants.
ATC rates increased by 18% with PDP color variants.
Intent-based pop-ups showed 6.9% CVR in the high-intent segment.
Intent-based pop-ups showed 6.9% CVR in the high-intent segment.
Additional Wins
Additional Wins
Improved desktop and mobile differentiation, aligning optimization with device-specific user behaviors.
Improved desktop and mobile differentiation, aligning optimization with device-specific user behaviors.
Challenges and How They Were Overcome
Challenges and How They Were Overcome
Traffic Declines:
Mitigated by focusing on actionable learnings from A/B testing.
Mitigated by focusing on actionable learnings from A/B testing.
Mitigated by focusing on actionable learnings from A/B testing.
Mitigated by focusing on actionable learnings from A/B testing.
Technical Issues:
Improved collaboration with tech teams to expedite implementations.
Improved collaboration with tech teams to expedite implementations.
Improved collaboration with tech teams to expedite implementations.
Improved collaboration with tech teams to expedite implementations.
Testing Velocity:
Adjusted test priorities to account for seasonal traffic fluctuations.
Adjusted test priorities to account for seasonal traffic fluctuations.
Adjusted test priorities to account for seasonal traffic fluctuations.
Adjusted test priorities to account for seasonal traffic fluctuations.
Metric table
Metric table
CRO Program Metrics
CRO Program Metrics
CRO Program Metrics
Learnings
Learnings
Early optimization planning is critical for peak traffic periods.
Early optimization planning is critical for peak traffic periods.
Differentiated strategies for mobile and desktop yield better engagement.
Differentiated strategies for mobile and desktop yield better engagement.
Personalization strategies, such as intent-based pop-ups, significantly improve conversions.
Personalization strategies, such as intent-based pop-ups, significantly improve conversions.
In the end
Conclusion
Conclusion
Conclusion
Bavaria Trachten’s CRO program demonstrated the effectiveness of a user-centric approach to optimization. By leveraging data-driven testing and prioritizing actionable insights, the program exceeded its revenue goals while laying the groundwork for sustained improvement in future campaigns.
Bavaria Trachten’s CRO program demonstrated the effectiveness of a user-centric approach to optimization. By leveraging data-driven testing and prioritizing actionable insights, the program exceeded its revenue goals while laying the groundwork for sustained improvement in future campaigns.
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ROI
4.53x
Extra Revenue
4.53x
Conversion Rate
4.53x
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Extra Revenue
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Conversion Rate
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ROI
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Conversion Rate
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ROI
4.53x
Extra Revenue
527384
Conversion Rate
4.53x
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ROI
4.53x
Conversion Rate
4.53x
527384
Extra Revenue
[Basic1 information about the client. Who they are? What do they do? {Preferably a client in ecomm will work best}.]
[Cleint’s situation BEFORE working with BB. If we can say things such as conversion rate was: X revenue was: XXX,XXXX]
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ROI
4.53x
Conversion Rate
4.53x
527384
Extra Revenue
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13:13
RPV
22% Uplift in RPV
Projected Revenue
$187,487 for 2025 Year
Reduced bounce rate
X% reduced rate
Home > Case Study
How Bavaria Trachten Achieved
a 22% Revenue Per Visitor (RPV)
Uplift with Strategic CRO Initiatives
13:13
RPV
22% Uplift in RPV
Projected Revenue
$187,487 for 2025 Year
Reduced bounce rate
X% reduced rate
Home > Case Study
How Bavaria Trachten Achieved
a 22% Revenue Per Visitor (RPV)
Uplift with Strategic CRO Initiatives
Navigation
Our Work
Our Services
About Us
Pricing
Reviews
Contact
© 2025 BlueBagels. All rights reserved.
Privacy Policy
Terms of Use
Licence
Contact
Unlimited Designs for your
E-Commerce Brand That converts
Hire battle-tested talent who understands the designs that turn clicks into customers.
Dedicated Branding Specialist
Dedicated CRO Specialist
Dedicated Account Manager
100% Conversion-focused Designs
Unlimited Requests (one active at a time)
Rapid Turnaround (72 hours on average)
Cancel Anytime Monthly Subscriptions
(save an average of $20,000 annually)
Get Started Today
Full refund if our designs don’t increase your conversion rates within the first 60 days.