Skip to main content

​
Overview

Genlook’s analytics dashboard provides detailed insights into how customers interact with your virtual try-on widget. Track conversions, engagement, and ROI to understand the impact of virtual try-on on your store.

​
Accessing Analytics

Navigate to Analytics in your Genlook admin panel to view your dashboard. The dashboard shows real-time and historical data about widget usage and performance.

​
Key Metrics

​
Widget Performance Metrics

Impressions: Number of times the try-on button was displayed on product pages
  • Track which products get the most visibility
  • Identify opportunities to enable widget on more products
Button Opens: Number of times customers clicked the try-on button
  • Shows customer interest in virtual try-on
  • Compare open rate across different products
Image Uploads: Number of photos customers uploaded for try-on
  • Indicates engagement level
  • Track completion rate from button open to upload
Generations: Number of successful try-on images generated
  • Shows actual usage of the feature
  • Monitor generation success rate
Add to Cart (ATC): Number of add-to-cart actions after using try-on
  • Direct conversion metric
  • Compare ATC rate for try-on users vs. non-users

​
Conversion Metrics

Try-On Conversion Rate: Percentage of customers who add to cart after generating a try-on image Widget Conversion Rate: Overall conversion rate for customers who interact with the widget (open button or generate image) Lift Analysis: Comparison of conversion rates between customers who use try-on vs. those who don’t
Customers who generate try-on images typically have a 35% higher conversion rate compared to those who don’t. This is one of the most important metrics to track.

​
Understanding the Funnel

The analytics dashboard includes a funnel visualization showing the customer journey:
  1. Button Impression → Widget button displayed
  2. Button Open → Customer clicks the button
  3. Image Upload → Customer uploads a photo
  4. Generation → Try-on image is created
  5. View Result → Customer sees the generated image
  6. Add to Cart → Customer adds product to cart
Use the funnel to identify where customers drop off. If many customers open the widget but don’t upload photos, consider improving your upload screen or adding camera functionality.

​
Product-Level Analytics

View performance metrics for individual products:
  • Top performing products: See which products get the most try-on usage
  • Conversion by product: Identify which products convert best with try-on
  • Engagement rates: Compare engagement across your catalog
Focus your marketing efforts on products with high try-on engagement and conversion rates. These are your best opportunities to drive sales.

​
Time-Based Analysis

Track performance over time:
  • Daily trends: See how widget usage varies by day
  • Weekly patterns: Identify peak usage times
  • Monthly trends: Track long-term growth and engagement
Use time-based analysis to optimize your marketing campaigns. If try-on usage spikes on certain days, schedule promotions or new product launches during those times.

​
Customer Insights

​
Email Collection Data

Track email collection metrics:
  • Collection rate: Percentage of customers who provide emails
  • Collection timing: When in the funnel emails are collected
  • Marketing consent: Percentage who opt in for marketing

​
User Behavior

Understand how customers use the widget:
  • Average generations per user: How many try-ons customers create
  • Product combinations: Which products customers try together
  • Session duration: How long customers spend using try-on

​
Using Analytics to Optimize

​
Improve Widget Placement

  • Compare conversion rates for different widget positions
  • Test button colors and styles to see what performs best
  • Identify products where widget placement could be improved

​
Product Selection

  • Enable widget on products with high engagement potential
  • Focus on products that convert well with try-on
  • Identify products that might benefit from better product images

​
Marketing Optimization

  • Target customers who use try-on in retargeting campaigns
  • Create email campaigns for customers who generated try-ons
  • Use try-on data to inform product recommendations
Regularly review your analytics to identify trends and opportunities. Set aside time each week to analyze performance and make adjustments.

​
A/B Testing Results

Genlook includes built-in A/B testing capabilities. The analytics dashboard shows results from different widget variations:
  • Button text variations: Test different call-to-action text
  • Upload screen designs: Compare different upload interface designs
  • Email collection timing: Test when to ask for customer emails
A/B testing helps optimize widget performance. Review test results regularly and implement winning variations across your store.

​
Exporting Data

Export analytics data for further analysis:
  • CSV export: Download raw data for spreadsheet analysis
  • Date ranges: Export data for specific time periods
  • Product filters: Export data for specific products or collections
Export data monthly to track long-term trends and share insights with your team or stakeholders.

​
Key Performance Indicators (KPIs)

Track these KPIs to measure success:
  1. Widget Open Rate: Percentage of impressions that result in button clicks
  2. Generation Success Rate: Percentage of uploads that result in successful generations
  3. Try-On Conversion Rate: Conversion rate for customers who generate try-ons
  4. Overall Conversion Lift: Increase in conversion rate attributed to try-on
  5. Return on Investment (ROI): Revenue increase vs. Genlook subscription cost
Set goals for each KPI and track progress monthly. Celebrate improvements and adjust strategy based on results.

​
Common Questions

Genlook tracks conversions using Shopify order data and widget interaction events. Metrics are calculated based on customers who interacted with the widget within a session before purchasing.
Yes. Compare your conversion rate before and after enabling Genlook, or compare conversion rates between customers who use try-on vs. those who don’t. Multiply the conversion lift by your average order value to calculate ROI.
Analytics data updates in real-time for recent activity. Historical data may take a few minutes to process and appear in the dashboard.
Genlook events can be tracked in Google Analytics through custom events. Contact support for help setting up Google Analytics integration.

​
Next Steps