Skip links
webAI Topics

Website TechStack

What do we measure?

The webAI TechStack agent has been trained by ISTARI.AI to examine enterprise websites in terms of their “technology stack”. A website’s technology stack includes the technologies, applications, and services used to build and operate the website. webAI TechStack thus provides insights into the security, modernity, and performance of a website. In total, nearly 4,000 technologies from approximately 100 categories are identified. The following categories are included (incl. number of technologies):

  • Shopify apps: 135
  • WordPress plugins: 125
  • WordPress themes: 134
  • A/B Testing: 37
  • Analytics 187
  • Browser fingerprinting: 5
  • Customer data platform: 31
  • Surveys: 17
  • Tag managers: 11
  • Appointment scheduling 43
  • Reservations & delivery 30
  • Ticket booking 1
  • Accounting 2
  • CRM 34
  • Live chat 93
  • Recruitment & staffing 18
  • Email 36
  • Live chat 93
  • Message boards 29
  • Remote access 4
  • Webmail 10
  • Blogs 28
  • CMS 286
  • Comment systems 5
  • DMS 4
  • Documentation 26
  • Feed readers 1
  • Issue trackers 54
  • LMS 13
  • Message boards 29
  • Photo galleries 15
  • Rich text editors 11
  • Search engines 36
  • Translation 12
  • Wikis 12
  • Geolocation 13
  • Maps 16
  • Advertising 139
  • Affiliate programs 39
  • CRM 34
  • Content curation 14
  • Customer data platform 31
  • Email 36
  • Marketing automation 128
  • Personalisation 90
  • RUM 27
  • Referral marketing 15
  • Retargeting 14
  • Reviews 34
  • SEO 10
  • Segmentation 7
  • Augmented reality 9
  • Digital asset management 21
  • Livestreaming 12
  • Network storage 4
  • Photo galleries 15
  • Video players 23
  • Augmented reality 9
  • Digital asset management 21
  • Livestreaming 12
  • Network storage 4
  • Photo galleries 15
  • Video players 23
  • Cookie compliance 49
  • Buy now pay later 54
  • Cart abandonment 10
  • Cross border ecommerce 12
  • Ecommerce 332
  • Fulfilment 5
  • Livestreaming 12
  • Loyalty & rewards 17
  • Payment processors 96
  • Referral marketing 15
  • Returns 10
  • Shipping carriers 62
  • Authentication 21
  • SSL/TLS certificate authorities 5
  • Security 50
  • CDN 48
  • Caching 13
  • Containers 2
  • Databases 14
  • Hosting 53
  • Hosting panels 9
  • IaaS 5
  • Load balancers 4
  • Operating systems 17
  • PaaS 44
  • Performance 42
  • Reverse proxies 5
  • Web server extensions 14
  • Web servers 84
  • Comment systems 5
  • Content curation 14
  • Issue trackers 54
  • Message boards 29
  • Reviews 34
  • Cryptominers 8
  • Database managers 5
  • Hosting panels 9
  • Accessibility 25
  • CI 3
  • Development 30
  • Editors 18
  • Feature management 3
  • Font scripts 15
  • JavaScript frameworks 69
  • JavaScript graphics 41
  • JavaScript libraries 110
  • Mobile frameworks 7
  • Page builders 72
  • Programming languages 26
  • Static site generator 17
  • UI frameworks 43
  • Web frameworks 80
  • Miscellaneous 86
  • Recruitment & staffing 18
  • User onboarding 11
  • Widgets 114

How do we measure?

Our webAI calls up the website of the company under investigation and analyzes the technology stack used there. WebAI thus finds technologies assigned to categories for each corporate website. Thus, a corporate website can also use several technologies from one category, as seen in this example:

'CMS (WordPress)', 'Blogs (WordPress)', 'Databases (MySQL)', 'Programming languages (PHP)', 'WordPress themes (FameThemes OnePress)', 'UI frameworks (animate.css)', 'UI frameworks (Bootstrap)', 'Web servers (Apache)', 'A/B Testing (Complianz)', 'Cookie compliance (Complianz)', 'WordPress plugins (Complianz)', 'Font scripts (Google Font API)', 'Font scripts (Font Awesome)', 'Font scripts (Twitter Emoji (Twemoji))', 'JavaScript libraries (jQuery Migrate)', 'JavaScript libraries (jQuery)'

How do you interpret the data?

From the lists of found technologies generated by the webAI TechStack Agent, both specific technologies (e.g. “PayPal”, “Apple Pay”) and the superordinate categories (e.g. “Payment processors”) can be determined. For the DACH region, for example, it is possible to find out that around 24,500 of the 28,000 companies that have integrated a technology from the “Payment Processors” category into their technology stack use PayPal.

How do we ensure the quality of the data?

Like all our webAI agents, the webAI TechStack agent has been validated together with independent subject matter experts. For this agent, ISTARI.AI collaborated with researchers from the Technical University of Munich, who also used information on cryptocurrency payment processors (e.g. Bitcoin) from the TechStack agent in a study on the use of blockchain technologies. The associated study will soon be published as a discussion paper.

Interested in our data?

Purchase this and other datasets for hundreds of regions in our Data Market.