To track article rereads, you can implement a combination of frontend event tracking, cookies or local storage, and backend logging or analytics integration. Here’s a practical approach depending on your tech stack:
1. Define a Reread
First, decide how you’ll define a “reread.” Options include:
-
A user returns to the same article after a set period (e.g., 1 day).
-
A user reopens the same article more than once in a session.
-
The article is viewed multiple times by the same user/device/browser.
2. Frontend Tracking (JavaScript)
Use JavaScript to detect repeated visits:
3. Backend Logging
Create an endpoint (/api/track-reread
) that saves rereads to a database or sends them to analytics.
Example with Node.js (Express):
4. Analytics Platform Integration
If you’re using Google Analytics, Mixpanel, or another analytics platform:
Google Analytics 4 (GA4):
Mixpanel:
5. User Authentication or Anonymous Tracking
-
If users are logged in, track rereads by
userId
. -
For anonymous users, use cookies or
localStorage
to associate the browser with reread behavior.
6. Dashboard or Reports
Set up a dashboard to visualize reread metrics:
-
Number of rereads per article
-
Most reread articles
-
Reread-to-read ratio
You can use tools like:
-
Google Data Studio (with GA4 or BigQuery)
-
Metabase (for SQL-based backends)
-
Custom admin dashboard with chart libraries (e.g., Chart.js, Recharts)
7. Optional Enhancements
-
Timestamp history: Store a list of timestamps for better behavioral analysis.
-
Heatmaps: Combine with scroll and time-on-page data to gauge deep rereading.
-
Personalization: Suggest reread-worthy articles to engaged users.
Let me know your platform (WordPress, custom HTML, React, etc.) if you need a tailored code snippet.
Leave a Reply