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Feishu
Human Resources ยท 65M monthly visits

Feishu is an all-in-one enterprise collaboration and management platform powered by AI. It integrates instant messaging, video conferencing, collaborative docs, project management, and HR tools into a single, seamless experience. Designed for modern teams, Feishu enhances productivity, streamlines workflows, and leverages AI to provide smart summaries, knowledge Q&A, and business process automation, helping organizations achieve efficient growth.

VS
Slack
Project Management ยท 129.1M monthly visits

Slack is an AI-powered collaboration hub that connects your people, partners, and tools. It replaces email with faster, better-organized communication through channels. With integrated AI, workflow automation, and thousands of apps, Slack centralizes your work to boost productivity and streamline project management.

Feishu vs Slack: pricing, features, traffic, and use cases

Compare Feishu and Slack across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 19, 2026

Product overview

Feishu Product overview

Feishu is an all-in-one enterprise collaboration and management platform powered by AI. It integrates instant messaging, video conferencing, collaborative docs, project management, and HR tools into a single, seamless experience. Designed for modern teams, Feishu enhances productivity, streamlines workflows, and leverages AI to provide smart summaries, knowledge Q&A, and business process automation, helping organizations achieve efficient growth.

Preview

Slack Product overview

Slack is an AI-powered collaboration hub that connects your people, partners, and tools. It replaces email with faster, better-organized communication through channels. With integrated AI, workflow automation, and thousands of apps, Slack centralizes your work to boost productivity and streamline project management.

Preview

Detailed feature comparison

FeatureFeishuSlack
Primary categoryHuman ResourcesProject Management
Added2025-08-112025-09-17
PricingFreemiumFreemium
Official websitewww.feishu.cnslack.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits65M129.1M
Monthly growth-2.7%-5.1%
Favorites132114
DetailsView detailsView details

Feishu vs Slack monthly traffic

Compare Feishu and Slack by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Feishu vs Slack monthly traffic comparison, Feishu currently shows 65M visits and Slack shows 129.1M; Slack has about 2 times the visible traffic of Feishu, an absolute difference of about 64.2M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Feishu monthly traffic:

Latest traffic

Monthly visits
65M
Avg. visit duration
9:24
Pages per visit
6.16
Bounce rate
34.19%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 59.9M Monthly visits
  • 2026/1: 60.8M Monthly visits
  • 2026/2: 46.7M Monthly visits
  • 2026/3: 74.5M Monthly visits
  • 2026/4: 66.8M Monthly visits
  • 2026/5: 65M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
๐Ÿ‡จ๐Ÿ‡ณChina89.36%58.1M
๐Ÿ‡ญ๐Ÿ‡ฐHong Kong5.24%3.4M
๐Ÿ‡ธ๐Ÿ‡ฌSingapore2.5%1.6M
๐Ÿ‡บ๐Ÿ‡ธUnited States1.94%1.3M
๐Ÿ‡น๐Ÿ‡ผTaiwan0.96%623.7K

Traffic sources

Source typePercentageTraffic
Direct93.27%60.6M
Referral6.44%4.2M
Email0.29%188.4K

Search keywords

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Slack monthly traffic:

Latest traffic

Monthly visits
129.1M
Avg. visit duration
15:45
Pages per visit
8.23
Bounce rate
28.2%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 133.2M Monthly visits
  • 2026/1: 127M Monthly visits
  • 2026/2: 122.4M Monthly visits
  • 2026/3: 139M Monthly visits
  • 2026/4: 136.1M Monthly visits
  • 2026/5: 129.1M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
๐Ÿ‡บ๐Ÿ‡ธUnited States50.24%64.9M
๐Ÿ‡ฏ๐Ÿ‡ตJapan31.8%41.1M
๐Ÿ‡ฎ๐Ÿ‡ณIndia8.46%10.9M
๐Ÿ‡ฌ๐Ÿ‡งUnited Kingdom5.07%6.5M
๐Ÿ‡ต๐Ÿ‡ญPhilippines4.43%5.7M

Traffic sources

Source typePercentageTraffic
Direct92.92%120M
Referral3.9%5M
Email3.18%4.1M

Search keywords

์Šฌ๋ž™slackslack downloadslack loginใ‚นใƒฉใƒƒใ‚ฏ
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Slack first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Feishu and Slack

Feishu Core features

Project Management
Collaboration
Human Resources
Knowledge Management

Slack Core features

Project Management
Collaboration
Team Chat

Use cases

Feishu Use cases

AI assistant
project management
all-in-one workspace
ByteDance
document collaboration
enterprise communication
HR management
no-code platform
team collaboration
video conferencing

Slack Use cases

AI assistant
project management
business messaging
collaboration
enterprise software
integration
knowledge management
productivity
remote work
team communication
workflow automation

Best suited roles

Feishu Best suited roles

No verified data available

Slack Best suited roles

Customer Support
Data Analyst
Graphic Designer
HR Manager
Marketing Manager
Product Manager
Project Manager
Sales Representative
Software Developer
Team Lead

Feishu vs Slack๏ผšIn-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Feishu vs Slack comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Feishu is primarily listed under โ€œHuman Resourcesโ€, while Slack is primarily listed under โ€œProject Managementโ€, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Feishu: Human Resources; Slack: Project Management); Monthly visits (Feishu: 65M; Slack: 129.1M); Monthly growth (Feishu: -2.7%; Slack: -5.1%); Favorites (Feishu: 132; Slack: 114); Website (Feishu: www.feishu.cn; Slack: slack.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Feishu vs Slack monthly traffic comparison, Feishu currently shows 65M visits and Slack shows 129.1M; Slack has about 2 times the visible traffic of Feishu, an absolute difference of about 64.2M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Slack first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Feishu and Slack currently overlap in shared categories: Project Management and Collaboration; shared tags: AI assistant and project management. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Feishu's unique categories/tags are Human Resources, Knowledge Management, all-in-one workspace, ByteDance, document collaboration, enterprise communication, HR management, and no-code platform; Slack's are Team Chat, business messaging, collaboration, enterprise software, integration, knowledge management, productivity, and remote work. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Feishu has no verified rating, 0 comments, 132 favorites, and 141 likes๏ผ›Slack has no verified rating, 0 comments, 114 favorites, and 99 likesใ€‚

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Feishu first

Put Feishu on the priority trial list when the task aligns with โ€œHuman Resourcesโ€ and especially Human Resources, Knowledge Management, all-in-one workspace, ByteDance, document collaboration, and enterprise communication. This follows recorded positioning and does not imply unlisted capabilities are absent.

Feishu also currently records: pricing is freemium, product type is website, 65M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Slack first

Put Slack on the priority trial list when the task aligns with โ€œProject Managementโ€ and especially Team Chat, business messaging, collaboration, enterprise software, integration, and knowledge management, or the users include Customer Support, Data Analyst, Graphic Designer, and HR Manager. This follows recorded positioning and does not imply unlisted capabilities are absent.

Slack also currently records: pricing is freemium, product type is website, 129.1M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Feishu and Slack, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Feishu and Slack?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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