The Recently Viewed app provides comprehensive analytics to help you understand customer behavior, track product performance, and measure the impact of your widget on customer engagement.
Accessing Analytics
There are two main analytics views in the app:
Dashboard Metrics
Location: Dashboard (main page after login)
Quick overview showing:
Active Customers (Last 30 Days)
Active Customers Today
Views Today
Product Analytics
Location: Analytics (sidebar navigation)
Detailed breakdown showing:
Individual product performance
Views, clicks, and click rates per product
Date range filtering
Performance trends
Dashboard Metrics Explained
Active Customers (Last 30 Days)
What it measures: Unique customers who viewed products in the last 30 days
Why it matters:
Shows your overall reach and engagement
Indicates widget adoption by your customer base
Used for billing on usage-based plans
Example:
Active Customers: 1,247 (last 30 days)
This means 1,247 unique customers browsed products and were tracked by the widget in the past month.
What's a good number?
Small store (<100 daily visitors): 500-1,500 monthly
Medium store (100-500 daily visitors): 1,500-10,000 monthly
Large store (500+ daily visitors): 10,000+ monthly
Trends to watch:
Steady growth = Increasing traffic and engagement
Sudden drops = Check if widget is working properly
Seasonal patterns = Normal for many businesses
Active Customers Today
What it measures: Unique customers who viewed products today, compared to yesterday
Why it matters:
Real-time indicator of current traffic
Shows day-to-day performance
Helps identify issues quickly
Display Format:
Active Customers Today: 42 ↑ +23%
42: Unique customers today
↑ +23%: 23% increase compared to yesterday
Green ↑ = increase, Red ↓ = decrease
Understanding the change percentage:
+15% or higher (Green ↑):
Great day! Higher than usual traffic
Could be due to promotions, marketing, or weekend
-15% to +15% (No badge):
Normal day-to-day variation
Expected fluctuation
-15% or lower (Red ↓):
Lower traffic than yesterday
Check if it's a weekday vs weekend comparison
Verify widget is working properly
Day-of-week considerations:
Monday vs Monday comparisons are more meaningful than Sunday vs Monday
Weekends typically have higher traffic than weekdays
Use 7-day trends instead of daily comparisons
Views Today
What it measures: Total number of product views tracked today, compared to yesterday
Why it matters:
Indicates how actively customers are browsing
Shows product discovery behavior
Higher views = more engaged customers
Display Format:
Views Today: 312 ↑ +18%
312: Total product views today
↑ +18%: 18% increase compared to yesterday
Calculating engagement:
Views Today ÷ Active Customers Today = Avg views per customer 312 ÷ 42 = 7.4 views per customer
Benchmarks for views per customer:
2-4 views: Light browsing, casual visitors
5-7 views: Good engagement, typical shopping behavior
8+ views: High engagement, serious shoppers
What affects this metric:
Product page placement (more visible = more views)
Homepage placement (returning visitors see it)
Time of day (afternoon/evening = peak browsing)
Day of week (weekends = more browsing time)
Marketing campaigns (email/ads drive traffic)
Trending Products
What it shows: Top 5 most viewed products over the past 30 days
Location: Bottom of dashboard, in a table
High View Products
Products with 500+ views (or top of your list):
✅ Action items:
Ensure product is in stock
Check product images are high quality
Verify competitive pricing
Consider featuring in marketing campaigns
Check if description is optimized
Review customer reviews/ratings
Trending Product Strategy
If product has many views:
Feature it on homepage
Create promotional campaigns around it
Ensure adequate inventory
Optimize product page for conversion
Use in retargeting ads
If product used to trend but dropped off:
Check if it's out of stock
Review if price changed recently
See if newer products are replacing it
Consider refreshing product images
Run promotion to revive interest
Product Analytics Page
Access detailed performance data for all products tracked by your widget.
Date Range Filtering
Available ranges:
Today: Real-time performance
Yesterday: Previous day comparison
Last 7 days: Weekly trends (default)
Last 30 days: Monthly overview
This month: Current month performance
Last month: Previous month historical data
How to change range:
Go to Product Analytics page
Click the date range dropdown (top left)
Select desired range
Data updates automatically
Best practices:
Use Today for real-time monitoring
Use Last 7 days for weekly trends (most useful)
Use Last 30 days for monthly reporting
Use This month vs Last month to compare performance
Product Performance Table
Detailed breakdown of every product's performance:
Columns explained:
Views
Total times product appeared in Recently Viewed widget
Higher views = more popular product
What drives views?
Product page visits (customers must view product first)
Widget placement (visible locations get more engagement)
Marketing campaigns (ads drive specific product traffic)
Clicks
Number of times customers clicked the product from the widget
Direct indicator of customer interest
High clicks = customers want to return to this product
Click Rate
Formula:
(Clicks ÷ Views) × 100Format: Percentage with color-coded badge
Badge colors:
🟢 Green (5%+ click rate): Excellent performance, highly engaging
🔵 Blue (2-5% click rate): Good performance, average engagement
⚪ Gray (<2% click rate): Needs improvement, low engagement
Click rate benchmarks:
10%+: Exceptional - product is very compelling
5-10%: Great - above average engagement
2-5%: Good - typical performance
<2%: Needs attention - investigate why
Performance
Visual progress bar showing click rate
Width represents click rate percentage
Color matches badge tone (green/blue/gray)
Quick visual scan:
Longer bars = better performing products
Green bars = top performers
Gray/short bars = needs optimization
Actions
View Product link
Opens product in Shopify admin
Quick access to make improvements
Interpreting Click Rates
Click rate is the most important metric for widget effectiveness.
What Click Rate Tells You
High Click Rate (5%+):
✅ Product images are appealing
✅ Pricing is competitive
✅ Product is desirable to customers
✅ Widget placement is effective
Low Click Rate (<2%): Investigate these potential issues:
Poor product image: Update with higher quality photos
High price: Check if pricing is competitive
Out of stock: Verify product availability
Weak title: Improve product name clarity
Widget placement: Is widget visible enough?