1 Introduction

The data we analyzed consisting of 453.419 eCommerce, 8.995 Agency, 14.781 Blog, 16.755 Booking, 1.579.702 total websites using the technology of our main competitors Hotjar, Mixpanel, CrazyEgg, Smartlook, Optimizely. The different types of websites have been spread over the verticals to see “WEBSITES CONSTITUTED THE FIRST SEGMENT WE WILL FOCUS ON HAVE WHICH TYPE AND VERTICALS.” The dataset is exported with the help of BuiltWith Pro.

2 Larger Verticals

2.1 eCommerce

2.1.1 Vertical Distribution

2.1.2 Country Distribution

2.1.2.1 TR Distribution

2.1.2.2 US Distribution

2.1.2.3 GB Distribution

2.1.2.4 AU Distribution

2.1.2.5 DE Distribution

2.1.2.6 CA Distribution

2.1.2.7 NL Distribution

2.1.2.8 FR Distribution

2.1.2.9 IT Distribution

2.1.2.10 ES Distribution

2.2 Agency

2.2.1 Vertical Distribution

2.2.2 Country Distribution

2.2.2.1 US Distribution

2.2.2.2 GB Distribution

2.2.2.3 AU Distribution

2.2.2.4 CA Distribution

2.3 Blog

2.3.1 Vertical Distribution

2.3.2 Country Distribution

2.3.2.1 TR Distribution

2.3.2.2 US Distribution

2.3.2.3 GB Distribution

2.4 Bookings

2.4.1 Vertical Distribution

2.4.2 Country Distribution

2.4.2.1 US Distribution

2.4.2.2 GB Distribution

2.4.2.3 AU Distribution

2.4.2.4 CA Distribution

2.4.2.5 DE Distribution

2.4.2.6 NL Distribution

3 Verticals

3.1 Vertical Distributions and Their Tech. Spends

3.2 Business and Industrial

3.2.1 Country Distribution

3.2.1.1 TR Distribution

3.2.1.2 US Distribution

3.2.1.2.0.1 CA-California State

3.2.1.2.0.2 TX-Texas State

3.2.1.2.0.3 FL-Florida State

3.2.1.2.0.4 NY-New York State

3.2.1.2.0.5 MD-Maryland State

3.2.1.3 GB Distribution

3.2.1.4 AU Distribution

3.2.1.5 CA Distribution

3.2.1.6 NL Distribution

3.2.1.7 DE Distribution

3.2.1.8 FR Distribution

3.2.1.9 IT Distribution

3.3 Technology and Computing

3.3.1 Country Distribution

3.3.1.1 TR Distribution

3.3.1.2 US Distribution

3.3.1.3 GB Distribution

3.3.1.4 DE Distribution

3.3.1.5 AU Distribution

3.3.1.6 NL Distribution

3.3.1.7 CA Distribution

3.3.1.8 FR Distribution

3.3.1.9 IT Distribution

3.4 Art And Entertainment

3.4.0.1 TR Distribution

3.4.0.2 US Distribution

3.4.0.3 GB Distribution

3.4.0.4 AU Distribution

3.4.0.5 DE Distribution

3.4.0.6 NL Distribution

3.4.0.7 CA Distribution

3.5 Food and Drink

3.5.1 Country Distribution

3.5.1.1 TR Distribution

3.5.1.2 US Distribution

3.5.1.3 GB Distribution

3.5.1.4 AU Distribution

3.5.1.5 DE Distribution

3.6 Automotive and Vehicles

3.6.1 Country Distribution

3.6.1.1 TR Distribution

3.6.1.2 US Distribution

3.6.1.3 GB Distribution

3.6.1.4 CA Distribution

3.6.1.5 AU Distribution

3.6.1.6 DE Distribution

3.6.1.7 NL Distribution

3.7 Finance

3.7.1 Country Distribution

3.7.1.1 TR Distribution

3.7.1.2 US Distribution

3.7.1.3 GB Distribution

3.8 Sports

3.8.1 Country Distribution

3.8.1.1 US Distribution

3.8.1.2 GB Distribution

3.8.1.3 DE Distribution

3.8.1.4 AU Distribution

3.8.1.5 CA Distribution

3.8.1.6 NL Distribution

3.9 Style and Fashion

3.9.1 Country Distribution

3.9.1.1 US Distribution

3.9.1.2 GB Distribution

3.9.1.3 AU Distribution

3.9.1.4 NL Distribution

3.9.1.5 DE Distribution

3.9.1.6 CA Distribution

3.10 Travel

3.10.1 Country Distribution

3.10.1.1 TR Distribution

3.10.1.2 US Distribution

3.10.1.3 GB Distribution

3.10.1.4 AU Distribution

3.10.1.5 NL Distribution

3.11 Health and Fitness

3.11.1 Country Distribution

3.11.1.1 US Distribution

3.11.1.2 GB Distribution

3.11.1.3 AU Distribution

3.11.1.4 CA Distribution