Products
Analyze product-level performance for your AI virtual try-on. Understand which items drive engagement and optimize your catalog accordingly.
Accessing Product Analytics
Login to https://app.trialclouds.com
Click "Products" in left sidebar
View table of all products that have been accessed via try-on widget
Product Table Overview
Each product displays:
Product ID
From data-product-id attribute
Product Name
From data-product-name attribute
Brand
From data-brand attribute (if provided)
Category
From data-category (if provided)
Price
From data-price (if provided)
Total Views
Widget opens for this product
Try-Ons
Completed AI processing count
Downloads
Result images saved
Credits Used
Total AI credits consumed
Understanding Product Metrics
Views (Widget Opens)
What it means: Customers clicked "Try On" button on this product page
Indicates: Initial interest, button visibility
Low views: May indicate button placement issue or low product page traffic
Try-Ons (Completed)
What it means: Successful AI processing for this product
Indicates: Customers actively engaging with feature
Formula: Should be close to Views (if not, check for technical issues)
Credits: Each try-on consumes 1 AI credit
Downloads (Saved Images)
What it means: Customers saved the try-on result
Indicates: High purchase intent — they liked how it looked on them!
Most valuable metric: Strong correlation with conversions
Follow-up opportunity: Retarget these customers
Conversion Rate
Formula: (Downloads / Try-Ons) × 100%
Benchmarks:
Excellent: >50% (half of try-ons result in downloads)
Good: 30-50%
Average: 15-30%
Poor: <15% (investigate image quality)
Use: Identifies which products create compelling try-on experiences
Sorting & Filtering Products
Sort Options
Click column headers to sort:
By Views: See most-viewed products (traffic indicator)
By Try-Ons: See most-tried products (engagement indicator)
By Downloads: See most-downloaded products (intent indicator) ⭐
By Conversion Rate: See best-performing products (quality indicator)
By Date: See recently added vs older products
Alphabetical: By product name or ID
Default: Sorted by Try-Ons (descending) – shows most engaged products first.
Filters
Date Range:
Today, Yesterday, Last 7 Days, Last 30 Days, Custom
Applies to all metrics (views, try-ons, downloads)
Search:
Search by product ID
Search by product name
Search by brand
Engagement Level:
All Products
High Performers (>100 try-ons or >30% conversion)
Medium Performers (10-100 try-ons or 15-30% conversion)
Low Performers (<10 try-ons or <15% conversion)
Never Tried (widget installed but 0 views)
Product Detail View
Click any product to see detailed analysis.
Product Overview
Product Information:
Product ID
Product Name
Brand
Category
Price (if provided)
Product URL (from data-link)
Product Images (from data-images array)
Performance Summary:
Total Views
Total Try-Ons
Total Downloads
Credits Consumed
Customer Insights
Visitors Who Tried This Product by click on product image:
List of visitors who engaged with this product
Click to see full visitor profile
Common Patterns:
What other products do these customers try?
What device types (desktop vs mobile)?
What time of day/week?
Identifying Product Issues
High Views but Low Try-Ons
Problem: Customers open widget but don't complete try-on
Possible Causes:
Product images don't meet requirements (no model face visible)
Technical errors during upload/processing
Slow processing time causing abandonment
Credit balance depleted
Solutions:
Review product images — ensure model photo shows clear face
Test try-on yourself to verify functionality
Ensure credit balance is sufficient
No Engagement Despite Traffic
Problem: Product page gets traffic but zero widget views
Possible Causes:
Button not installed on this product page
Button not visible (hidden, off-screen, tiny)
Product images don't support try-on (no model photos)
Site-specific filtering excluding this product
Solutions:
Visit product page yourself, verify button appears
Check button placement and visibility
Verify product ID matches between page and dashboard
Check site configuration filters (if you've set category/product type filters)
Optimizing Product Performance
For High-Performers
Actions:
Feature prominently: Homepage, collection pages, ads
Study success factors: What makes these images work?
Apply learnings: Use similar model photos for other products
Retargeting: Export downloaders for paid ads
Social proof: Use in marketing ("Most tried-on item!")
Inventory: Ensure adequate stock
For Medium-Performers
Actions:
A/B test: Try different button text or placement
Image updates: Replace or add better model photos
Positioning: Move try-on button higher on page
Incentivize: "Try on & get 10% off!"
Monitor: Track changes to see impact
For Low-Performers
Actions:
Replace images: Priority #1, get better model photos
Test thoroughly: Does try-on actually work well?
Consider removal: If product doesn't suit AI try-on, remove button from that page
Relaunch: After fixes, promote to see if performance improves
Analyze feedback: Do customers report issues?
Troubleshooting Product Data
Product Not Appearing in Dashboard
Reason: No one has tried it yet
Solution: Widget must be installed and used at least once for product to appear
Incorrect Product Information
Reason: Data attributes on button have wrong values
Solution: Update button HTML with correct data-product-id, data-product-name, etc. See Button Customization
Products Duplicated
Reason: Inconsistent product IDs (e.g., "shirt-123" and "Shirt-123" tracked separately)
Solution: Standardize product IDs across your site (case-sensitive)
Metrics Don't Match Expectations
Check date range filter
Verify timezone settings from your profile
Ensure you're comparing same time periods
Contact support if persistent issues
Related Guides
Questions about product analytics? Email [email protected]
Last updated