Buffer
Your small business' biggest fan 💙 Brand building products for small businesses and ambitious individuals. We're a fully remote team and work 4 days a week. ✨
973,644
Followers
57,578
Following
443,379
Tweets
3.2
Avg Engagement
13,058
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @buffer'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:2010-10-02
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:2.4
- Avg Retweets per Tweet:0.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsBuffer's tweets typically receive around 142 likes and 34 retweets on average, indicating a moderate level of engagement. Their content often highlights company culture and product updates, which resonate with their audience.
2.4
Avg Likes/Tweet
0.8
Avg Retweets/Tweet
7,652
Total Likes
2,582
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
422
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
11.0%
Original
81.2%
Replies
7.2%
Retweets
0.5%
Quotes
0.0%
Threads
0.4%
With Media
28.0%
With Links
1.7%
With #Tags
81.5%
With @Mentions
30.7%
With Emojis
170
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.39
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.4%
Weekday Posts
9.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 tweetsContent Type Distribution
Content Breakdown
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 235 retweets (7% 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 3,247 tweetsEngagement 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 followersTheir primary audience includes small business owners and individuals looking to build their personal brands. They also attract professionals interested in remote work and productivity solutions.
Good
Audience Quality
19.9%
Suspicion Index
19.3%
Low-Quality %
73
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.7%
Empty Bio
18.1%
<10 Tweets
16.5%
Mass Following (>2K)
0.0%
New (<90 days)
42.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
69.1%
No URL
11.8%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
75,256,065
Total Potential Reach
73
Median Follower Reach
285
75th Percentile Reach
9.3%
>1K followers
1.2%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.1%
Creators
31,048 accounts
19.8%
Consumers
9,899 accounts
18.1%
Dormant
9,053 accounts
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):
1,952
Verified Followers
1.93% of total
9,965
Protected Accounts
9.87% 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 |
|---|---|---|---|
| @JohnCena | 14,105,348 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TVN | 3,423,209 | Media | TV, noticias, entretenimiento |
| @Mediapart | 3,069,251 | Journalism | investigation, journalism, independent |
| @marvi_memon | 2,078,524 | Politician | Politics, Poverty Alleviation, Advisory Council |
| @americatv_peru | 1,676,908 | TV Channel | TV, Entertainment, Subscription |
| @Ricamconsult | 1,508,307 | Economista | Economia, Humor, Influência |
| @GuyKawasaki | 1,387,547 | Chief Evangelist | podcasting, design, entrepreneurship |
| @SinghLions | 1,335,137 | Restaurateur | Food, Travel, Influencer |
| @androidcentral | 1,240,994 | Tech Blogger | Tech, Android, Tips |
| @CybersmileHQ | 1,158,174 | Nonprofit | kindness, equality, inclusion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
76,496
Followers With Bio
24,503
Followers Without Bio
75.74%
% With Bio
24.26%
% 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.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed1,158
Combined Engagement
989
Total Likes
169
Total Retweets
232
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
We’ve been working four days a week for over 2 years now. We’re not working 10 hour days to make up for the extra day off. In fact, most of the team feels more productive working less. Here’s how we got here 🧵
Our free plan is here to stay 😎 https://t.co/RgDPUKV0Cw
@RobbiewOnline @TwitterDev @hootsuite Hey Rob! Appreciate the tag here. We're still learning more about these changes, and any impact they could have on Buffer. We're doing everything we can to minimize how this would impact Buffer users. Hopefully we will have more to share soon
EVERYONE AT BUFFER ONLY WORKS 4 DAYS A WEEK AND IT’S NOT LIKE THEY’RE DOING FOUR 10 HOUR DAYS THEY’RE ACTUALLY WORKING LESS THAN 40 HOURS A WEEK BUT THEY’RE STILL SUPER PRODUCTIVE AND THEY’RE FULLY REMOTE AND LET THEIR TEAM WORK WHATEVER HOURS WORK BEST FOR THEM AND LIVE ANYWHERE
After more than a decade of being a fully remote company, we decided we all need to be back in the office. Take a look at our beautiful new Buffer headquarters! 😍 👏 https://t.co/TLBBOjLa9n
Key Insights & Takeaways
Their 4-day workweek model is a key differentiator and a major talking point. They emphasize transparency and work-life balance, which aligns with modern work trends. Their free plan is a strategic move to attract and retain users while promoting their paid offerings.
Strengths
- + Established follower base of 973,644
- + 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 @buffer reveals an growing Twitter presence with 973,644 followers. The account demonstrates a conversation-first approach, averaging 3.2 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.
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