Mike Coppinger
ESPN Boxing Insider | State of Boxing Thursdays on ESPN+ 🥊
109.707
Followers
1.166
Following
77.291
Tweets
278,3
Avg Engagement
737
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MikeCoppinger'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:2009-04-26
- Verification:No
- Location:Miami Beach, FL
Data Summary
- Tweets Analyzed:3.247
- Avg Likes per Tweet:131,2
- Avg Retweets per Tweet:147,2
- Followers Analyzed:9.998
Engagement Analysis
Based on 3.247 tweetsHis tweets typically receive high engagement, with an average of 5,323 likes and 1,231 retweets. The verified user base of 1.4% suggests a mix of public figures and dedicated followers.
131,2
Avg Likes/Tweet
147,2
Avg Retweets/Tweet
425.861
Total Likes
477.940
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
8
Median Retweets
184
75th Percentile
39.480
Top Tweet
2,54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
33,8%
Original
34,1%
Replies
20,8%
Retweets
11,3%
Quotes
0,0%
Threads
0,2%
With Media
48,9%
With Links
21,8%
With #Tags
49,9%
With @Mentions
7,4%
With Emojis
155
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,01
Reply/Original Ratio
0,54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
60,1%
Weekday Posts
39,9%
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 675 retweets (21% 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 9.998 followersHis audience is primarily boxing fans and sports enthusiasts interested in the latest updates and analysis. The content is tailored to those who follow professional boxing and its major events.
Average
Audience Quality
26,1%
Suspicion Index
35,1%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49,9%
Empty Bio
29,3%
<10 Tweets
9,6%
Mass Following (>2K)
0,0%
New (<90 days)
54,1%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,7%
No URL
20,3%
<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.
21.907.348
Total Potential Reach
30
Median Follower Reach
137
75th Percentile Reach
4,6%
>1K followers
0,6%
>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).
49,3%
Creators
4.928 accounts
21,4%
Consumers
2.136 accounts
29,3%
Dormant
2.934 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):
135
Verified Followers
1.35% of total
1.053
Protected Accounts
10.53% of total
4 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 | 14.092.996 | Wrestler | Wrestling, Motivation, Self-promotion |
| @WWEgames | 970.733 | Gaming | WWE, Video Games, Wrestling |
| @Zwelinzima1 | 633.492 | Labor Leader | Labour, Social Justice, Activism |
| @SlimJim | 512.434 | Snack Influencer | meat, long boi, champions |
| @Moreno | 430.936 | Influencer | Business, Manager, Serious |
| @IMGUDDAGUDDA | 378.074 | Rapper | Music, Fashion, Lifestyle |
| @ElPesoPluma | 309.908 | - | - |
| @EssexPR | 288.976 | Pub Owner | Nightlife, Pubs, Events |
| @JoshTaylorBoxer | 158.009 | Boxer | Boxing, Champion, Partners |
| @DFletcherSport | 131.907 | Sports Broadcaster | Football, Boxing, NFL |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5.013
Followers With Bio
4.987
Followers Without Bio
50.13%
% With Bio
49.87%
% 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 analyzed136.620
Combined Engagement
19.824
Total Likes
116.796
Total Retweets
27.324
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @WWE: WWE is saddened to learn that two-time WWE Hall of Famer Scott Hall has passed away. WWE extends its condolences to Hall’s family, friends and fans. https://t.co/jgqL3WizOS
RT @JeffPassan: BREAKING: Major League Baseball and the MLB Players Association have reached a tentative agreement on a new labor deal, sources tell ESPN. While it still needs to be ratified by both parties, that is expected to be a formality, and when it is: Baseball is back.
Breaking: Terence Crawford and Errol Spence Jr. have agreed to a deal to fight for the undisputed welterweight championship on July 29 at Las Vegas’ T-Mobile Arena, sources tell ESPN. Al Haymon, who advises Spence, and CAA’s Ish Hinson (Crawford’s advisor) will deliver the… ht
RT @msinger: Remember the girl who was devastated when Steph missed the last game in Denver? Steph Curry just made her year. https://t.co/c9iyGJhuAx
RT @Canelo: who the fuck is this? 🤣🤣🥴 https://t.co/ThN5aMcUoW
Key Insights & Takeaways
He frequently breaks major news about high-profile boxing matches, such as the Terence Crawford vs. Errol Spence Jr. deal. He covers significant events beyond boxing, like political developments involving figures like Vitali Klitschko. His content is highly engaging, with a focus on timely and impactful stories that resonate with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 109.707
- + 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 @MikeCoppinger reveals an well-established Twitter presence with 109.707 followers. The account demonstrates a conversation-first approach, averaging 278,3 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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