What CMS » Pimcore
Market Share By Site Popularity
| Alexa Rank | CMS Rank | Market Share | |
|---|---|---|---|
| Most Popular Sites | < 1,000 | #135 | 0.106% |
| Very Popular Sites | < 10,000 | #106 | 0.116% |
| Popular Sites | < 100,000 | #109 | 0.058% |
| Less Popular Sites | < 1,000,000 | #101 | 0.050% |
| All Sites | #101 | 0.050% |
Market Share History
This chart shows the history of detected websites using Pimcore.
In the last 6 months, market share has increased 7.55% from 0.053% to 0.057%
Top Level Domains
Websites using Pimcore were found on 62 top level domains
| Top Level Domains | Percent |
|---|---|
| 1 | 29.60% |
| 123 | 22.99% |
| 248 | 8.716% |
| 53 | 8.525% |
| 60 | 3.352% |
| 213 | 2.299% |
| 110 | 2.107% |
| 97 | 1.916% |
| 193 | 1.916% |
| 116 | 1.820% |
| 149 | 1.724% |
| 6 | 1.628% |
| 247 | 1.149% |
| 143 | 1.054% |
| 5 | 0.958% |
| 266 | 0.958% |
| 16 | 0.766% |
| 139 | 0.670% |
| 203 | 0.575% |
| 98 | 0.575% |
| 52 | 0.575% |
| 146 | 0.383% |
| 220 | 0.383% |
| 140 | 0.383% |
| 84 | 0.287% |
| 236 | 0.287% |
| 174 | 0.287% |
| 69 | 0.192% |
| 237 | 0.192% |
| 265 | 0.192% |
| 215 | 0.192% |
| 142 | 0.192% |
| 59 | 0.192% |
| 218 | 0.192% |
| 264 | 0.192% |
| 68 | 0.096% |
| 196 | 0.096% |
| 162 | 0.096% |
| 94 | 0.096% |
| 242 | 0.096% |
| 26 | 0.096% |
| 22 | 0.096% |
| 151 | 0.096% |
| 267 | 0.096% |
| 125 | 0.096% |
| 47 | 0.096% |
| 11 | 0.096% |
| 250 | 0.096% |
| 212 | 0.096% |
| 66 | 0.096% |
| 182 | 0.096% |
| 274 | 0.096% |
| 96 | 0.096% |
| 78 | 0.096% |
| 87 | 0.096% |
| 12 | 0.096% |
| 115 | 0.096% |
| 168 | 0.096% |
| 262 | 0.096% |
| 159 | 0.096% |
| 104 | 0.096% |
| 230 | 0.096% |
Popular Sites Using Pimcore
We detected the following sites were using Pimcore
ginatricot.com
dolomitisuperski.com
maxbo.no
eatmytickets.com
grey.com
salzburg.info
How We Detect Installations of Pimcore
Headers
HTTP headers, including cookies, can be used in same situations to identify a CMS.
Markup
If a CMS doesn't have meta tags, it will often have other uniquely identifiable html markup. This can range from unique html comments, ids or classes.
Let us know if you have any suggestions on how we can better detect Pimcore installations
Compare Pimcore
Dedicated Content Management System Detection
