A guide to understand how to boost product page engagement for skincare brands on Shopify
The rising interest in the market of the customized skincare industry has seen various developments, including advanced AI algorithms, high awareness of skin health, and the integration of intelligent diagnostics, which has provided growth to the skincare brands and businesses while driving the growth of the AI skin analysis market. The global AI-based skin analysis market size accounted for USD 1.54 billion in 2024 and is predicted to increase from USD 1.79 billion in 2025 to approximately USD 7.11 billion by 2034, which is expanding at a CAGR of 16.53% from 2025 to 2034.
It shows how using an AI-based application helps skincare brands and businesses to provide their customers with a personalized experience and help them build a customized skincare regimen, which will help the brand to increase user engagement on their product page. Using the skin analysis tool will help the brand to provide its customers with tailored recommendations along with the comprehensive skin analysis report, enabling the skincare brand to keep its customers engaged on its product page and improve its product page engagement.
In this blog, I will help you understand how using a skin analysis tool will help a skincare brand or business to keep their customers engaged on their product page while improving their engagement rate on their Shopify-based e-commerce website or app.
What is a skin analysis tool, and what are its key features?
A skin analysis tool is an online tool that uses technologies, such as artificial intelligence and computer vision, to help users scan their facial image by enabling them to assess key metrics like hydration, texture, pores, pigmentation, wrinkles, and redness. It provides users with a comprehensive skin analysis report along with personalized product recommendations that will help them treat their skin issues and concerns by using the most suitable products.
Many skin analysis tools allow users to track their medical history and skin improvement status over time by enabling them to upload images of their skin and prescriptions on the e-commerce platform, which will help them understand which products work best for their skin. Apart from that, it provides users with data-driven analytics about their skin issues to help them understand their skin needs and use suitable products by building customized skincare routines.
Key features
- Image capture and AI-based processing: It allows users to detect and analyze their skin issues and concerns by enabling them to upload their selfies or use the live video, which will help the tool analyze their detailed features by using advanced AI algorithms.
- Skin metric analysis: It helps users to understand their skin conditions and issues by enabling them to understand their skin metrics, such as fine lines, wrinkles, pores, textures, firmness, and hydration, enabling them to understand the needs and requirements of their skin.
- Personalized recommendations: It provides users with tailored product recommendations along with some core ingredients, such as retinoids, peptides, and salicylic acid, enabling them to treat their skin with specific products and help them build routines based on the analysis.
- Tracking progress: It allows users to track their skin improvement by enabling them to upload images of their skin after following the skincare routine, which will help them monitor changes in their skin by understanding the effect of the used products after the analysis.
- Virtual try-ons: Some of the skin analysis tools help users to understand the application of the skincare products on their face by using technologies, such as augmented reality and computer vision, enabling them to see how products or makeup might look.
- Seamless integration: It provides brands with the ability to integrate the tool on their e-commerce website or app seamlessly, which will help them provide their customers with a seamless and personalized experience.
How does a skin analysis tool help businesses to increase user engagement on the product page?
Using an AI-powered skin analysis tool helps businesses in multiple ways, as it helps them to increase user engagement on product pages by helping them transform their passive browsing audience into a purchasing one by offering them an interactive and personalized experience. It helps businesses to build stronger relationships with their audience by helping them to make more informed and confident shopping decisions and by building their trust and confidence while selecting skincare products.
With the help of the skin analysis tool, skincare brands can allow their users to scan their skin by using a smartphone camera and provide them with immediate data-driven insights about their estimated skin age, hydration levels, acne, wrinkles, and dark circles, which will help them to understand the needs of their skin. In this section, I will help you understand how using a skin analysis tool on the product page will help a brand improve user engagement while helping them to build stronger relationships with their customers.
1. Enhanced personalization and trust
It helps businesses to provide their customers with a personalized and trusted shopping experience by offering them AI-powered product recommendations depending on their skin analysis results, which will help them select the most suitable products according to their skin needs.
It also reduces the hesitation and uncertainty among their customers by providing them with data-driven insights based on AI models and dermatological research, which will help them feel more confident and build their credibility towards the brand.
2. Interactive user experience
It helps skincare brands to provide their customers with an interactive and optionally gamified user experience by offering them a comprehensive skin analysis report along with a skin score by analyzing and detecting their skin health, while enabling them to understand the before-and-after visualization of the products.
Apart from that, it also increases the user session time on the website or app by keeping them engaged with interactive and real-time visualization of products, which will provide them with an engaging experience on the e-commerce platform.
3. Increased average order value
It helps skincare brands to increase their average order value by helping their customers build a customized skincare routine for morning and night, which will also increase the total basket value by providing them with personalized product recommendations according to their skin health and condition.
It also helps the brand to increase its add-to-cart rate by enabling them to guide their customers from diagnosis to tailored routine while reducing purchase friction, which will also help them to make their checkout process more seamless and faster.
4. Long-term engagement and retention
It helps businesses and brands to engage their customers for a longer period of time by enabling them to track their progress over time and by helping them to upload their skin improvement images and scans, which will build a habitual relationship between the brand and its customers.
Apart from that, it also provides brands with data-driven insights and loyalty by gathering first-party data for them after taking consent from users, enabling the brand to send personalized follow-up emails and messages to enhance their marketing strategies while evolving the user’s skin needs and requirements.
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Key metrics to understand to increase product page engagement on Shopify
While using a skin analysis tool, brands and businesses have to look for various metrics to understand its impact and how it contributes to the improvement of the product page engagement on their Shopify-based website or app. To understand and measure the impact of the skin analysis tool, brands have to look at various factors, such as conversion rates, add-to-cart ratio, bounce rate, session time on page, and average order value, alongside traffic source analysis and device performance.
Brands can also keep their focus on user behavior metrics, such as clicks, scroll depth, and heatmaps, which will help them to understand how to make and optimize their product page elements, like images, descriptions, and calls to action, which will help them make it more interactive and engaging. In this section, I will help you understand how to understand the impact of using a skin analysis tool on the improvement of the product page engagement and how it will help skincare brands to keep their customers more engaged on the website or app.
1. Core engagement and conversion metrics
To understand the improvement in the product page engagement, brands need to look at some engagement and conversion features or metrics that will help them to understand whether their users are engaging with their products or browsing passively.
Some of the metrics that brands should consider include increased conversion rates, higher add-to-cart rates, reduced bounce rates, increased average session duration and pages per session, higher average order value, and lower cart abandonment rates. Understanding the metrics and statistics of these features altogether will help the brand to understand the impact of the skin analysis tool on their product page engagement.
2. Behavioral and trust metrics
Another key metric that brands should consider while measuring the impact of the skin analysis tool on the product page engagement is understanding the behavioral and trust metrics, which will also help them to understand the user behavior and trust factors that they consider while purchasing a product.
In this metric, skincare businesses can look at product page views, click-through rates, customer reviews and ratings, and heatmaps, which will help them to understand how their audience is interacting with different products and page elements available on their website or app.
3. Optimization focus areas
Last but not least, the key metric that skincare brands should consider is the optimization focus area, which includes site speed, visuals, product descriptions, trust signals, and call-to-action buttons, which will help the brand to make their product page more interactive and immersive by adding engaging features and elements.
It will also help the brand to foster customer trust and loyalty towards the brand by providing them with appropriate statistics and growth charts on the website or app, which will also enhance the add-to-cart rate by optimizing the product page with appropriate visuals and trust signals to build stronger and trusted relationships with customers.
Benefits of using a skin analysis tool for e-commerce skincare brands
E-commerce brands and businesses can boost their sales, loyalty, and customer satisfaction by using the skin analysis tool, as it provides their customers with personalized product recommendations, helping them create tailored routines, and keeping them engaged on the website or app via data-driven insights. It will help the brand to reduce its product return rate and improve its conversion rates by reducing customer uncertainty and purchase friction while building deeper brand connections.
It also helps users to analyze their skin for various concerns, such as dryness, redness, and aging, which will help them translate complex data into actionable advice to turn hesitant shoppers into confident buyers. Here, I will provide you with detailed information on the benefits of using a skin analysis tool that skincare businesses experience and how it helps them to build stronger relationships with their customers.
1. Higher conversion rates and average order value
It helps skincare brands and businesses to provide their customers with a personalized experience by helping them provide personalized product recommendations, along with the skin analysis report.
It will also help the brand to help their customers make more purchases with increased confidence, which will help the brand to drive higher conversion rates and larger orders by helping their customers make purchases according to the bundled routine suggestions of cleanser, serum, and moisturizer based on their skin issues and concerns.
2. Reduced product return rates
When skincare brands use the skin analysis tool on their product page on the website or app, they help their customers to make more informed and confident purchase decisions by offering them personalized product recommendations according to their needs and requirements.
Hence, it will reduce their uncertainty and likelihood of returns and refunds, which will help the brand in reducing their product return rates by helping their customers select the matching products and minimizing customer disappointment.
3. Stronger trust and loyalty
Using a skin analysis tool will help the brand to build stronger customer relationships by fostering their trust and loyalty while helping them to select the most suitable products according to their needs and requirements.
It will also help users to track their progress by uploading their before and after images on the portal, which will help the brand to increase brand trust and loyalty, so that they can turn their one-time buyers into loyal and repeat customers.
4. Actionable customer insights
Using a skin analysis tool will help businesses to understand user behavior and trends, as it provides them with data-driven insights and analytics on how users behave and engage with the tool, which will also help the brand to enhance their marketing strategies by understanding their targeted audience.
Apart from that, it also helps businesses to send their customers personalized marketing messages and emails, as it provides them with data related to their skin issues to help brands build a stronger relationship with their customers.
Introducing GlamAR skin analysis tool for Shopify-based skincare brands
GlamAR is an AR-based solution provider for brands that deal in several industries, such as beauty, makeup, clothing, fashion, and accessories, helping them to increase business revenue and customer retention rate by 4 times. It provides brands with various solutions, including virtual try-ons, 360-degree viewers, 3D configurators, and an AI-based skin analyzer, providing their customers with an engaging and immersive experience during online shopping.
With the help of its AI Facial skin analysis tool, businesses can perform a detailed skin analysis test of their customers, which will help them to understand their skin issues and conditions while providing them with personalized product recommendations for the best-suited alternatives. It uses 94 advanced algorithms to perform skin analysis of the user’s face and provide them with detailed and personalized skincare product recommendations. It also provides customers with the best-suited alternatives by providing them with personalized skincare recommendations by analyzing ingredients and mapping them to skin concerns.
It not only increases user satisfaction and trust through personalized product recommendations but also supports brands by improving conversion rates and customer retention while reducing product returns. It is an online tool that is trained on more than 3 million data points, which helps brands to increase their conversion rate by up to four times and enables them to reduce the product return rate by 62%.
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What are the key features of using GlamAR’s skin analysis tool?
- Advanced algorithms: It works on an advanced mechanism that uses 94 algorithms to suggest skincare products, helping users to choose the best-suited products that will boost their trust and confidence towards the brand.
- Seamless integration: It enables the brand to increase customer engagement and experience by offering them similar experiences on different platforms due to its seamless integration and cross-platform compatibility.
- Condition analysis: It provides users with a detailed analysis of more than 14 skin conditions, including acne, wrinkles, pores, and spots, which they can use to understand their skin condition and select the best products accordingly.
How does GlamAR help Shopify-based skincare brands to increase their product page engagement?
- Real-time AI-based skin analysis: It helps businesses to provide their customers with realistic skin analysis results by analyzing and detecting their skin issues through live video or by uploading their selfie. It runs a scan for more than 14 parameters, including acne, wrinkles, pigmentation, hydration, fine lines, and pores, which will help the brand to provide its customers with interactive and personalized experiences while keeping them engaged on the page for a longer time.
- Personalized product recommendations: It helps businesses to provide their customers with a personalized experience by understanding their skin issues with the help of advanced AI algorithms and suggesting to them the most relevant products from the store's catalog, which will reduce decision paralysis and provide them with higher engagement and better conversion rates.
- Future skin simulation: It helps businesses to build customer trust and engagement by offering them a visual simulation of the products on their skin with the help of augmented reality and computer vision technologies, which will also help the customers to select the products according to their needs and requirements while helping them to visualize how their skin might improve with the recommended product.
- Higher conversions and reduced returns: It helps businesses to improve their conversion rates by offering their customers personalized and data-backed recommendations depending on their skin needs and requirements. It will also help the brand to reduce its product return rates by enabling its customers to select the products with more confidence according to skin issues and concerns.
Conclusion
Using a skin analysis tool on the product page will help the skincare brands and businesses to keep their customers more engaged by enabling them to perform a comprehensive and detailed skin analysis by uploading their image or using the live camera. With the help of GlamAR’s skin analysis tool, businesses can provide their customers with a complete skin analysis report with their ideal skin score by analyzing more than 14 skin health metrics.
Apart from that, it also helps businesses to improve their engagement by enabling them to add the skin analysis tool on their website or app according to their heatmaps to provide their customers with the most interactive and engaging way to build a tailored skincare routine. Hence, with the help of the skin analysis tool, businesses will get multiple benefits, such as higher engagement, enhanced user experience, improved conversions, boosted sales, and improved customer trust and loyalty.
Yes, businesses can customize the skin analysis tool by using GlamAR's SDK, which provides them with several customization options, such as colors, labels, layouts, templates, and styles to align the tool with their logo and color theme. Apart from that, they can also integrate the tool on the website or app as interactive elements, such as pop-ups, buttons, or page embeds, which will help them to provide their customers with a seamless experience while offering them personalization options to enhance brand consistency across the Shopify store.
By using GlamAR’s skin analysis extension for Shopify, skincare businesses can implement the tool seamlessly on their website or app by installing the extension from the Shopify App Store, which they can use to create an auto-sync between the catalog and the tool and customize placement in a short time span ranging from minutes to hours, which can be done with zero to minimal coding expertise.
Businesses can integrate the skin analysis tool into their pre-existing store by installing it from the Shopify App Store, which they can sync with their product catalog without any manual uploads. Developers can also customize the tool by adding it to the homepage button, pop-up, and product pages to display, which will allow their customers to perform seamless selfie uploads, AI analysis, and personalized recommendations without leaving the store.
Yes, some skin analysis tool providers, like GlamAR, provide businesses with cross-platform compatibility that will help them to use the tool across various platforms and devices, such as web, mobile (iOS/Android), desktops, phones, and tablets. It helps businesses to provide their customers with a similar experience across multiple channels, which will enable them to reach a wider audience across major browsers or devices without requiring web-based users to perform any additional downloads and providing them with broad accessibility.
Yes, the skin analysis tool helps businesses collect user data and provides them with data-driven analytics through a dedicated dashboard that helps them track tool usage, skin concerns, product views, favorites, and interactions. With the help of this data, brands can improve their marketing strategies by opting for targeted marketing, inventory strategies, email campaigns, and personalization, while offering them CRM integration and complying with standard privacy concerns.
Skincare brands and businesses can use the skin analysis tool across various places, such as homepage buttons, pop-ups, product pages, email campaigns, social media, and push notifications, which will help them to provide their customers with easy access to the tool. Apart from that, they can also integrate skin analysis quizzes, AI chatbots like SkinGPT, and analytics, which will also help them to optimize placement, driving engagement and conversions in skincare e-commerce.
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