⚡ Visitor Identification Software in Korea

Visitor identification software identifies the companies and individuals browsing a website before they fill out a form or initiate direct contact.

Korea is an East Asian country with a population of around 52 million people.

According to our research, visitor identification software is detected on 0.03% of websites from Korea.

⭐ Most Popular in 2026

The following chart shows the top visitor identification software in Korea in 2026, based on market share.

The most popular is Leadfeeder, which dominates the market with a substantial 62.5% share.
It is followed by RB2B with 25% and Clearbit with 12.5%.

🚀 Highlights

Here is a list of the top solutions that is more popular in Korea than worldwide.
Differences between global and country rankings are shown in parentheses.

✨ Best Visitor Identification Software

Below is a more detailed list of 5 visitor identification software solutions used on sites from Korea, ranked by their market share.

RankNameMarket share
1
Leadfeeder
Karlsruhe, Germany

A B2B website visitor identification platform that helps sales and marketing teams identify potential leads from anonymous traffic.

Free$113+/month
2
RB2B
Austin, Texas, United States

A visitor identification solution that identifies US website visitors and their LinkedIn profiles.

Free$79+/month
3
Clearbit
Cambridge, Massachusetts, United States

A data activation platform that helps companies collect, enrich, segment, and activate B2B customer and prospect data to improve targeting and engagement across sales and marketing systems.

$30,000+/year
4
Leadinfo
Capelle aan den IJssel, Netherlands

A lead generation platform that identifies companies visiting a website to help B2B sales and marketing teams discover potential prospects.

$107+/month
5
Visitor Queue
London, Ontario, Canada

B2B lead generation and website personalization software that identified businesses visiting a website and provided sales teams with contact details and firmographic data.

$39+/monthLegacy

👉 See Also

🗃️ About This Data