Michael Buffer
The Official Twitter account of Hall of Fame Sports/Entertainment Announcer Michael Buffer..movies-dozens, TV-1,000s, platinum&gold records plus Broadway stage.
113,261
Followers
146
Following
18,826
Tweets
143.0
Avg Engagement
180
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Michael_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:2013-07-05
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:78.9
- Avg Retweets per Tweet:64.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,238 tweetsHis tweets typically receive high engagement with an average of 7,225 likes and 498 retweets. The content is well-received, with a notable percentage of verified accounts following him.
78.9
Avg Likes/Tweet
64.2
Avg Retweets/Tweet
255,404
Total Likes
207,743
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
28
75th Percentile
39,158
Top Tweet
1.26
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
7.8%
Original
61.6%
Replies
13.1%
Retweets
17.5%
Quotes
0.0%
Threads
1.5%
With Media
35.8%
With Links
24.8%
With #Tags
82.6%
With @Mentions
41.2%
With Emojis
137
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.91
Reply/Original Ratio
1.33
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 425 retweets (13% 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 3,238 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 10,000 followersHis audience includes sports fans, entertainment enthusiasts, and followers of his career milestones. The audience is primarily interested in wrestling, boxing, and entertainment events.
Average
Audience Quality
22.6%
Suspicion Index
25.1%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.2%
Empty Bio
15.7%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
52.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
9.9%
<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.
30,926,497
Total Potential Reach
59
Median Follower Reach
211
75th Percentile Reach
6.6%
>1K followers
1.3%
>10K followers
0.4%
>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).
67.0%
Creators
6,701 accounts
17.3%
Consumers
1,733 accounts
15.7%
Dormant
1,566 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):
190
Verified Followers
1.9% of total
1,019
Protected Accounts
10.19% of total
6 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 | 14,093,422 | Wrestler | Wrestling, Motivation, Self-promotion |
| @reymysterio | 2,391,856 | Wrestler | Wrestling, Lucha Libre, Family |
| @HeymanHustle | 2,208,643 | Wrestling Manager | SpecialCounsel, Advocate, Wiseman |
| @LeBronJames | 1,003,625 | - | - |
| @FrazierKay | 840,416 | YouTuber | videos, creator, entertainment |
| @NOH8Campaign | 798,998 | Activism | equality, bullying, discrimination |
| @dustinrhodes | 783,817 | Wrestler | Wrestling, Instagram, Management |
| @Moreno | 430,958 | Influencer | Business, Manager, Serious |
| @KingRicochet | 409,378 | Wrestler | Wrestling, Entertainment, Flair |
| @MachineGunKA | 379,387 | Wrestler | wrestling, champion, superstar |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,982
Followers With Bio
4,018
Followers Without Bio
59.82%
% With Bio
40.18%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,238 analyzed98,476
Combined Engagement
23,418
Total Likes
75,058
Total Retweets
19,695
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @MeidasTouch: Whoa! Here it is. The moment in 2018 when Donald Trump removed the Dodd-Frank regulations that would have prevented the Silicon Valley Bank collapse. Don’t let anyone forget this. https://t.co/3ccLFMWH2o
RT @KingJames: His hand on his back had no effect on his route! This game was too damn good for that call to dictate the outcome at the end. Damn! By the way I have no horse in the race. Just my professional opinion
THAT UPPERCUT!! DAMN!! https://t.co/ber9uBE7l6
RT @LakotaMan1: @RepBoebert Lauren Breitbart hates this poster. So whatever you do — don’t like it or retweet it. Thanks. https://t.co/NhOsIAnQwY
Just watched WRESTLEMANIA 20! Wild main event with an unbelievable three-way match between Sean Michaels, Triple H, and Chris Benoit! The entire event was 4 1/2 hours… Unbelievable, action and entertainment… Legendary! Yep, I am @WWE fan! No apologies! https://t.co/ITI4ORtHmA
Key Insights & Takeaways
His top tweets often feature iconic wrestling moments and event highlights, which resonate strongly with his audience. He frequently shares personal updates and travel plans, adding a relatable and human touch to his professional persona. Engagement is high, suggesting a loyal and active fan base that values both his professional and personal content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 113,261
- + 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 @Michael_Buffer reveals an well-established Twitter presence with 113,261 followers. The account demonstrates a conversation-first approach, averaging 143.0 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.
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