🆚 Gauges vs. HubSpot Analytics

Type

Web analytics tool
Web analytics tool

About

Gauges is a real-time web analytics software that tracks website visits based on location, referrer, and landing page.

HubSpot Analytics is a marketing analytics platform integrated with HubSpot CRM that measures website activity, campaign performance, and marketing channels.

It uses multiple attribution models, links website interactions such as page views and form submissions to identified CRM contacts, and provides attribution reports that show which sources, content, and interactions generated contacts, deals, and revenue.

Headquarters

San Francisco, California, United States
Cambridge, Massachusetts, United States

Website

Pricing

Free version ❌
Solo $6/month
Small $12/month
Plus $48/month
Marketing Hub
Free version ✔️ 2 users
Starter
(1K contacts)
$10+/seat/month
Professional
(3 seats, 2K contacts)
$890/month
Enterprise
(5 seats, 10K contacts)
$3,600/month

Categories

Analytics › Rank #29
Analytics › Rank #8

Popularity

Determined by the number of sites using each technology.

The HubSpot Analytics tool is 9 times more popular than Gauges.
Total websites

Market share

Analytics

Popularity by country

Determined by the number of sites detected from each country.

HubSpot Analytics is more popular in the United States, the United Kingdom, and Australia, while Gauges is more popular in Curacao and Macao.
United States
United Kingdom
Australia
Germany
Canada
France
Netherlands
Spain
Japan
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

HubSpot Analytics is more popular among sites focused on business, marketing and merchandising, and Internet services, while Gauges is more commonly used on restaurants sites.
Business
Marketing/Merchandising
Internet Services
Software/Hardware
Education/Reference
Online Shopping
Health
Finance/Banking
Real Estate
Blogs/Wiki

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#15,008
#15,140
View more ➝
Name
Rank
View more ➝

See also

🗃️ About This Data