pellerinfuneralhome.com Tech Stack
pellerinfuneralhome.com uses 27 technologies across 21 categories, including HSTS, Nginx, Cal.com, CodePen Embed, cdnjs. The site is classified as E-commerce & Retail. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Website category: E-commerce & Retail (60% confidence)
Technologies detected on pellerinfuneralhome.com
Security & Privacy
- HSTS (100% confidence)
- UserWay (100% confidence)
- Termly (75% confidence)
Infrastructure & Hosting
- Nginx (100% confidence)
- cdnjs (100% confidence)
- GoDaddy Hosting (100% confidence)
- GoDaddy (80% confidence)
CRM & Business Tools
- Cal.com (100% confidence)
Other
- CodePen Embed (100% confidence)
- Elfsight (100% confidence)
- Open Graph (100% confidence)
- Microsoft 365 (100% confidence)
- PWA (50% confidence)
Communication & Engagement
- Facebook SDK (100% confidence)
- Google Reviews Widget (100% confidence)
JavaScript & Frameworks
- Foundation (100% confidence)
- jQuery (100% confidence)
Analytics & Tracking
- Google Analytics (100% confidence)
- Google Analytics 4 (100% confidence)
- Google Tag Manager (100% confidence)
- Snowplow (75% confidence)
- Snowplow Analytics (75% confidence)
CMS & Site Builders
- SimpleSite (100% confidence)
- MyWebsite (75% confidence)
Advertising & Marketing
- Schema.org (100% confidence)
Development Tools
- Priority Hints (25% confidence)
pellerinfuneralhome.com is identified as a news website with 70% confidence.
Last analyzed: 1970-01-21T14:22:26.891Z
Frequently Asked Questions
- What technologies does pellerinfuneralhome.com use?
- pellerinfuneralhome.com uses 27 technologies including HSTS, Nginx, Cal.com, CodePen Embed, cdnjs.
- What type of website is pellerinfuneralhome.com?
- pellerinfuneralhome.com is classified as a E-commerce & Retail website.
- How is this data collected?
- WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.