Slack

Slack

@SlackHQ

On a mission to make your working life simpler, more pleasant and more productive. Need help? Send us a tweet!

https://slack.com/ Joined 2013-03-26 Date of Analysis: Dec 16, 2025

458,236

Followers

133,151

Following

301,545

Tweets

3.0

Avg Engagement

6,565

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @SlackHQ's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2013-03-26
  • Verification:Yes
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:2.0
  • Avg Retweets per Tweet:1.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account maintains a steady level of engagement with an average of 292 likes and 70 retweets per tweet. Verified accounts make up 2.3% of its followers, indicating a mix of personal and business users.

2.0

Avg Likes/Tweet

1.0

Avg Retweets/Tweet

6,622

Total Likes

3,245

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

0

Median Retweets

1

75th Percentile

2,735

Top Tweet

0.01

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

3.4%

Original

94.8%

Replies

0.9%

Retweets

1.0%

Quotes

0.0%

Threads

0.2%

With Media

21.6%

With Links

2.3%

With #Tags

96.2%

With @Mentions

26.4%

With Emojis

179

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

27.75

Reply/Original Ratio

1.11

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

93.3%

Weekday Posts

6.7%

Weekend Posts

Top Hashtags

#slacksxsw (25) #tdx23 (18) #salesforcetour (10) #sxsw (7) #slackfrontiers (4) #changelog (2) #general (2) #loveisblindlive (1) #salesforcedays (1) #fcgrill (1)

Most Mentioned

@slack (397) @salesforce (17) @slackhq (11) @chuck_martin (7) @syeda78826917 (7) @jasonkarns (7) @saradietschy (6) @larsboehnke (6) @dangerismycat (6) @sxsw (6)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 111 (3%)
Replies 3,080 (95%)
Retweets 28 (1%)
Quote Tweets 31 (1%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 28 retweets (1% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,250 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

The audience is primarily professionals and teams looking to improve workplace efficiency. They are likely interested in productivity tools and workplace culture.

Average

Audience Quality

20.4%

Suspicion Index

20.5%

Low-Quality %

63

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.5%

Empty Bio

20.4%

<10 Tweets

14.6%

Mass Following (>2K)

0.0%

New (<90 days)

43.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

68.8%

No URL

13.4%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

Try Bot Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

114,626,001

Total Potential Reach

63

Median Follower Reach

255

75th Percentile Reach

8.2%

>1K followers

1.1%

>10K followers

0.3%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

58.4%

Creators

29,185 accounts

21.2%

Consumers

10,602 accounts

20.4%

Dormant

10,213 accounts

1,330

Verified Followers

2.66% of total

20.3%

Professional Bios

founder, dev, analyst, etc.

0.12

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

India (487) United States (370) Bengaluru, India (305) London, England (298) Lagos, Nigeria (274) San Francisco, CA (255) Los Angeles, CA (236) Nigeria (218) New York, NY (192) London (177)

2,336

Verified Followers

2.34% of total

11,708

Protected Accounts

11.71% of total

7 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@jimmyfallon 50,800,991 Comedian Comedy, TV, Music
@JohnCena 14,104,413 Wrestler Wrestling, Motivation, Self-promotion
@elespectador 6,677,587 News Outlet Noticias, Colombia, Mundo
@Dropbox 3,852,100 Tech technology, collaboration, support
@levie 2,467,186 CEO Cloud, ABBA, CEO
@sarahcpr 2,114,153 Comedian comedy, author, speaker
@SinghLions 1,334,855 Restaurateur Food, Travel, Influencer
@elgato 1,232,964 Streaming Stream, Record, Create
@JDaIey 1,228,401 - -
@Benioff 1,083,810 Entrepreneur technology, philanthropy, leadership

Top Keywords in Follower Bios

software (3,892) engineer (3,769) developer (3,743) tech (3,031) designer (2,639) marketing (2,596) web (2,566) digital (2,512) product (2,130) business (2,127)

Top Hashtags in Follower Bios

#bitcoin (302) #tech (205) #ai (204) #marketing (170) #technology (124) #seo (114) #crypto (111) #nft (108) #digitalmarketing (106) #web3 (105)

73,322

Followers With Bio

26,678

Followers Without Bio

73.32%

% With Bio

26.68%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

4,437

Combined Engagement

2,404

Total Likes

2,033

Total Retweets

887

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

20%

With Links

Topical Analysis:

Productivity Workplace Communication Workplace Culture Humor Integration Updates

Key Insights & Takeaways

The account frequently shares updates about integrations and new features, showing a focus on innovation. It uses humor and relatable scenarios to connect with its audience, such as the #LoveIsBlindLIVE reference. The content mix includes both professional tips and casual reminders, appealing to a broad range of users.

Strengths

  • + Established follower base of 458,236
  • + High community engagement through conversations
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @SlackHQ reveals an growing Twitter presence with 458,236 followers. The account demonstrates a conversation-first approach, averaging 3.0 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025