Websites Using SRS Simple Hits Counter

Simple plugin to count and show a total number of hits (Unique visitors or page-views) to the site without using any third party code.

Categories: Analytics, WordPress plugin

Official website: https://atif.rocks/srs-simple-hits-counter/

10 websites using SRS Simple Hits Counter

• ypkdt.gov.my
• tumkurinfomedia.com
• uptlax.edu.mx
• ligapro.ec
• discovermarketdrayton.co.uk
• dof.gov.my
• iisertirupati.ac.in
• malaysiaaktif.my
• cornerstonechapel.net
• therevelator.org

SRS Simple Hits Counter is ranked #336 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 SRS Simple Hits Counter

• Font Awesome — 100% co-occurrence
• WordPress — 100% co-occurrence
• jQuery — 100% co-occurrence
• MySQL — 100% co-occurrence
• PHP — 100% co-occurrence
• jQuery Migrate — 90% co-occurrence
• Google Font API — 90% co-occurrence
• Priority Hints — 80% co-occurrence

How WhatStack detects SRS Simple Hits Counter

WhatStack detects SRS Simple Hits Counter 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 SRS Simple Hits Counter?

Simple plugin to count and show a total number of hits (Unique visitors or page-views) to the site without using any third party code.

How many websites use SRS Simple Hits Counter?

WhatStack has detected SRS Simple Hits Counter on 10 websites in our database.

How do you detect SRS Simple Hits Counter?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify SRS Simple Hits Counter with high accuracy using signature-based pattern matching.