wordlift.io Tech Stack
wordlift.io uses 28 technologies across 21 categories, including Cloudflare, Cloudflare APO, Kinsta, Kinsta CDN, WordPress. 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 (55% confidence)
Technologies detected on wordlift.io
Infrastructure & Hosting
- Cloudflare (100% confidence)
- Cloudflare APO (100% confidence)
- Kinsta (100% confidence)
- Kinsta CDN (100% confidence)
- Redis Object Cache (100% confidence)
CMS & Site Builders
- WordPress (100% confidence)
- Gutenberg (100% confidence)
- WordPress Block Editor (100% confidence)
WordPress
- WPML (100% confidence)
- Contact Form 7 (100% confidence)
- Notibar – Notification Bar for WordPress (100% confidence)
Analytics & Tracking
- Cookiebot (100% confidence)
- Google Tag Manager (100% confidence)
- Cloudflare Browser Insights (100% confidence)
- Sendgrid (100% confidence)
Media & Content
- Google Font API (100% confidence)
Other
- webpack (100% confidence)
- Max Mega Menu (100% confidence)
- Open Graph (100% confidence)
- Google Workspace (100% confidence)
Advertising & Marketing
- Yoast SEO (100% confidence)
- Schema.org (100% confidence)
Security & Privacy
- CookieYes (100% confidence)
- reCAPTCHA (100% confidence)
Ecommerce & Payments
- Cart Functionality (100% confidence)
Databases & Storage
- MySQL (80% confidence)
- Redis (80% confidence)
wordlift.io is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T14:22:33.696Z
Frequently Asked Questions
- What technologies does wordlift.io use?
- wordlift.io uses 28 technologies including Cloudflare, Cloudflare APO, Kinsta, Kinsta CDN, WordPress.
- What type of website is wordlift.io?
- wordlift.io 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.