🆚 LinkedIn Insight Tag vs. Rakuten Advertising Performance Tag

Compare technologies based on real-world usage data *

Type

Ad tracking tool
Ad tracking tool

About

The LinkedIn Insight Tag is a website tracking pixel that enables advertisers to measure conversions, retarget site visitors, and analyze audiences connected to LinkedIn ad campaigns.

It is a JavaScript snippet installed on webpages that tracks page views and defined conversion events, supports website retargeting and matched audiences, and feeds campaign optimization and performance reporting within LinkedIn Ads.

The Rakuten Advertising Performance Tag is a container tag that enables additional scripts on an advertiser's website.

Headquarters

Mountain View, California, United States
Tokyo, Japan

Website

Categories

Ad Tracking › Rank #4
Ad Tracking › Rank #14

Popularity

Determined by the number of sites using each technology.

The LinkedIn Insight Tag ad tracking tool is 31 times more popular than Rakuten Advertising Performance Tag.
Total websites

Market share

Ad Tracking

Popularity by country

Determined by the number of sites detected from each country.

LinkedIn Insight Tag is more popular than Rakuten Advertising Performance Tag in all countries.
United States
United Kingdom
Germany
Australia
Netherlands
France
Italy
India
Canada
Spain

Awards

Popularity by domain category

Determined by the number of sites in each category.

LinkedIn Insight Tag is more popular among sites focused on business, Internet services, and marketing and merchandising, while Rakuten Advertising Performance Tag is more commonly used on fashion and beauty sites.
Business
Internet Services
Marketing/Merchandising
Software/Hardware
Online Shopping
Education/Reference
Finance/Banking
Health
Non-Profit/Advocacy/NGO
Real Estate

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
kdreams.jp
#2,426
View more ➝

See also

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When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.