Websites Using User Activity Tracking and Log

Track time and monitor user activity & history on your website, LMS online learning system, membership or WooCommerce site.

Categories: Analytics, WordPress plugin

Official website: http://www.mooveagency.com

9 websites using User Activity Tracking and Log

• tm-robot.com
• wobi.com
• 5gamericas.org
• businessdisabilityforum.org.uk
• lsj.com.au
• fic.gov.za
• destateparks.com
• altopianodelsole.it
• jewishinsider.com

User Activity Tracking and Log is ranked #429 of 477 in Analytics by website adoption.

Analytics alternatives ranked by popularity

1. Google Analytics — 121,867 websites
2. Google Analytics 4 — 107,819 websites
3. Cloudflare Browser Insights — 30,687 websites
4. Yandex Metrica — 13,804 websites
5. Matomo — 13,424 websites
6. Matomo Analytics — 13,162 websites
7. Hotjar — 6,389 websites
8. Site Kit — 5,795 websites
9. Liveinternet — 3,310 websites
10. Adobe Analytics — 2,610 websites

Technologies commonly used with User Activity Tracking and Log

• PHP — 100% co-occurrence
• MySQL — 100% co-occurrence
• WordPress — 100% co-occurrence
• Font Awesome — 89% co-occurrence
• Google Analytics — 89% co-occurrence
• jQuery Migrate — 89% co-occurrence
• Schema.org — 89% co-occurrence
• jQuery — 89% co-occurrence

How WhatStack detects User Activity Tracking and Log

WhatStack detects User Activity Tracking and Log by analyzing HTTP headers, HTML source code, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries using signature-based pattern matching across 10 different analyzers.

Frequently Asked Questions

What is User Activity Tracking and Log?

Track time and monitor user activity & history on your website, LMS online learning system, membership or WooCommerce site.

How many websites use User Activity Tracking and Log?

WhatStack has detected User Activity Tracking and Log on 9 websites in our database.

How do you detect User Activity Tracking and Log?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify User Activity Tracking and Log with high accuracy using signature-based pattern matching.