Shenzhen Yuanding Intelligent Innovation Co., Ltd.
Shenzhen Yuanding Intelligent Innovation Co., Ltd.
Aiper Optimizes Product Image Sequence to Enhance the Smart Pool Robot Shopping Experience
Aiper Optimizes Product Image Sequence to Enhance the Smart Pool Robot Shopping Experience
Aiper, a brand under YuanDing Intelligent, focuses on the development of smart outdoor products and global brand expansion. Its product portfolio includes cordless pool cleaning robots and other intelligent backyard solutions. As the category pioneer of cordless smart pool robots, Aiper has established subsidiaries across China, Singapore, the United States, Canada, France, Spain, and Australia.
Aiper products have achieved strong market performance across North America and Europe and are now available in more than 7,000 major retail stores, including Home Depot, Lowe’s, Best Buy, Walmart, Leroy Merlin, and MediaMarkt. This extensive retail presence has helped position Aiper as one of the fastest-growing brands in the global pool robotics industry.
According to the Kantar 2024 U.S. Brand Tracking Report, Aiper’s brand awareness stands out in the category, ranking No.1 among pool cleaning robot brands in the minds of Western consumers.
From a market performance perspective, YuanDing Intelligent has shipped nearly 3 million units globally, securing the No.2 position in worldwide industry shipments and No.1 in online market share. These achievements highlight the company’s strong brand influence and growing competitiveness in the global smart pool technology market.
Aiper, a brand under YuanDing Intelligent, focuses on the development of smart outdoor products and global brand expansion. Its product portfolio includes cordless pool cleaning robots and other intelligent backyard solutions. As the category pioneer of cordless smart pool robots, Aiper has established subsidiaries across China, Singapore, the United States, Canada, France, Spain, and Australia.
Aiper products have achieved strong market performance across North America and Europe and are now available in more than 7,000 major retail stores, including Home Depot, Lowe’s, Best Buy, Walmart, Leroy Merlin, and MediaMarkt. This extensive retail presence has helped position Aiper as one of the fastest-growing brands in the global pool robotics industry.
According to the Kantar 2024 U.S. Brand Tracking Report, Aiper’s brand awareness stands out in the category, ranking No.1 among pool cleaning robot brands in the minds of Western consumers.
From a market performance perspective, YuanDing Intelligent has shipped nearly 3 million units globally, securing the No.2 position in worldwide industry shipments and No.1 in online market share. These achievements highlight the company’s strong brand influence and growing competitiveness in the global smart pool technology market.
1. Reconstructing the product image sequence
1. Reconstructing the product image sequence
In the original version, product images were presented in the order of product appearance → feature demonstration → technical details → usage scenarios. However, heatmap analysis revealed that users were far more interested in the actual cleaning results.
In the optimized version, the sequence was adjusted to before-and-after cleaning results → product operating in the pool → technical specifications → product appearance. By bringing the outcome-focused visuals to the front and enriching the primary image content, the page immediately communicates the product’s core value and effectiveness.
In the original version, product images were presented in the order of product appearance → feature demonstration → technical details → usage scenarios. However, heatmap analysis revealed that users were far more interested in the actual cleaning results.
In the optimized version, the sequence was adjusted to before-and-after cleaning results → product operating in the pool → technical specifications → product appearance. By bringing the outcome-focused visuals to the front and enriching the primary image content, the page immediately communicates the product’s core value and effectiveness.
2. Leveraging detailed data insights for continuous optimization
2. Leveraging detailed data insights for continuous optimization
By analyzing granular behavioral reports, the team discovered that users from different traffic sources responded very differently to specific content elements. These insights provided a clearer direction for iterative optimization.
During a four-week A/B test of the product page, Aiper achieved significant improvements in performance:
32% increase in overall product page conversion rate
48% increase in image browsing depth (average images viewed increased from 2 to 7.7)
39% increase in mobile conversion rate
25% reduction in product page bounce rate
56% increase in time spent in the product image section
More importantly, the test helped Aiper establish a data-driven standard for product presentation, creating a repeatable framework for future product launches and page optimization. This case clearly demonstrates that in a DTC environment, fine-grained A/B testing of product pages can translate directly into measurable business growth.
For DTC brands, building a consistent A/B testing process is essential. By treating data validation as the core of optimization decisions and deeply analyzing user behavior, brands can identify the content combinations that truly drive conversion. Over time, this approach not only improves single-page performance but also builds a repeatable optimization framework that supports long-term, sustainable growth.
By analyzing granular behavioral reports, the team discovered that users from different traffic sources responded very differently to specific content elements. These insights provided a clearer direction for iterative optimization.
During a four-week A/B test of the product page, Aiper achieved significant improvements in performance:
32% increase in overall product page conversion rate
48% increase in image browsing depth (average images viewed increased from 2 to 7.7)
39% increase in mobile conversion rate
25% reduction in product page bounce rate
56% increase in time spent in the product image section
More importantly, the test helped Aiper establish a data-driven standard for product presentation, creating a repeatable framework for future product launches and page optimization. This case clearly demonstrates that in a DTC environment, fine-grained A/B testing of product pages can translate directly into measurable business growth.
For DTC brands, building a consistent A/B testing process is essential. By treating data validation as the core of optimization decisions and deeply analyzing user behavior, brands can identify the content combinations that truly drive conversion. Over time, this approach not only improves single-page performance but also builds a repeatable optimization framework that supports long-term, sustainable growth.