Analysis badges

On this page

Face Age lets you customize the information shown on the Analysis Results page by selecting which analysis badges are displayed. That gives you control over the customer experience and lets you highlight the metrics most relevant to your products and brand.

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Enabled by default. All analysis badges are turned on automatically when you install Face Age. Every badge appears on the Analysis Results page out of the box — adjust the settings below only if you’d like to hide specific badges.

Available analysis badges

Skin Age

Displays the customer’s estimated skin age based on the uploaded facial image. Recommended for stores that focus on anti-aging skincare products.

Skin Health

Provides an overall evaluation of the customer’s skin condition. Recommended for stores offering general skincare solutions.

Image Suitability Check

Indicates whether the uploaded photo meets the quality requirements needed for an accurate analysis. Helps customers understand when lighting, camera angle, or image quality may affect results.

How to configure analysis badges

  1. Open your Shopify Admin.
  2. Navigate to Apps → Face Age.
  3. Open Customization.
  4. Select Template.
  5. Go to the Analysis result section.
  6. Enable or disable the badges you would like to display.
  7. Click Save.
Analysis Results settings with Skin Health, Skin Age, and Image Suitability Check toggles enabled

Where to find it

Shopify
└── Apps
    └── Face Age
        └── Customization
            └── Template
                └── Analysis Results
Badge Recommended for
Skin Age Anti-aging skincare stores
Skin Health General skincare brands
Image Suitability Check Stores that want to improve photo quality before analysis

Tips

  • Displaying fewer badges creates a cleaner and simpler customer experience.
  • If your products focus primarily on anti-aging, displaying only the Skin Age badge can help customers stay focused on your primary recommendation.
  • Keeping the Image Suitability Check enabled can reduce inaccurate results caused by low-quality photos.