Michael Barkann
NBC Sports Philadelphia, S.I. Newhouse School of Public Communications, Syracuse University
85,240
Followers
2,610
Following
33,490
Tweets
61.8
Avg Engagement
974
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MBarkannNBCS'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: Mid-Tier (10K+)
- Account Age:2009-02-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:38.9
- Avg Retweets per Tweet:22.9
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, suggesting a loyal and active audience. The engagement rate indicates that the content is well-received and relevant to the followers.
38.9
Avg Likes/Tweet
22.9
Avg Retweets/Tweet
126,364
Total Likes
74,481
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
2
Median Retweets
34
75th Percentile
29,172
Top Tweet
0.72
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.3%
Original
11.8%
Replies
9.3%
Retweets
8.6%
Quotes
0.0%
Threads
0.3%
With Media
23.9%
With Links
7.0%
With #Tags
36.5%
With @Mentions
5.0%
With Emojis
118
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
56.0%
Weekday Posts
44.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 302 retweets (9% 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 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 10,999 followersThe audience likely includes sports fans, media professionals, and students from Syracuse University. They are interested in sports commentary, team dynamics, and media insights.
Average
Audience Quality
30.3%
Suspicion Index
43.4%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.9%
Empty Bio
38.5%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
63.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
27.8%
<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.
16,734,306
Total Potential Reach
13
Median Follower Reach
62
75th Percentile Reach
2.8%
>1K followers
0.5%
>10K followers
0.2%
>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).
39.1%
Creators
4,298 accounts
22.4%
Consumers
2,462 accounts
38.5%
Dormant
4,239 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):
68
Verified Followers
0.62% of total
951
Protected Accounts
8.65% 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 |
|---|---|---|---|
| @AdamSchefter | 10,372,840 | Sports Journalist | NFL, Insider, Podcast |
| @CutonDime25 | 695,473 | Football Player | Football, Super Bowl, Rushing |
| @solalexasch | 681,187 | Musician | Music, Travel, Tattoos |
| @IamMzilikazi | 552,844 | Musician | Pan-African music, Album, Rise |
| @Weinbach | 373,470 | Sports Commentator | Basketball, Sports, Media |
| @EvanKirstel | 348,437 | Tech Influencer | Tech, B2B, Social media |
| @nateburleson | 283,829 | Sports Analyst | Football, Fashion, Broadcasting |
| @shomaristone | 230,990 | Reporter | News, Emmy Awards, Journalism |
| @HerbertRSim | 223,854 | Investor | Economics, GeoPolitics, AI |
| @Chicago_History | 123,128 | Historian | Chicago, History, Beer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,519
Followers With Bio
6,480
Followers Without Bio
41.09%
% With Bio
58.91%
% 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 3,250 analyzed51,701
Combined Engagement
0
Total Likes
51,701
Total Retweets
10,340
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @JoshShapiroPA: I'm Josh Shapiro, the Attorney General who stopped Trump from undermining our democracy in Pennsylvania and overturning the 2020 election. Now, I'm running for Governor — and I need your help. Can you RT to help me reach 153K followers by midnight?
RT @RexChapman: Please take a moment for Jimmy Kimmel’s thoughts on Bob Saget… https://t.co/hbSHrV8gyP
RT @RexChapman: The women of Texas have something to say… https://t.co/gFlXdBpUBe
RT @AdamSchefter: No. 40 would have been 45 years old today. RIP… https://t.co/KqRUdW3azs
RT @katieposten: Walked out to my car in New Albany, IN and found this picture stuck to the window. Undoubtedly from a home that was struck by the tornado that ripped through Kentucky last night. Hoping to find its owners. It looks like it reads - Gertie Swatzell and JD Swatzell
Key Insights & Takeaways
The account frequently shares personal opinions on sports teams and players, reflecting a strong personal connection to the content. It highlights the importance of fan support and team environment, indicating a focus on community and atmosphere. The account also engages in discussions about player performance and media perception, showing a blend of professional and personal commentary.
Strengths
- + Established follower base of 85,240
- + Strong original content creation
- + 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 @MBarkannNBCS reveals an growing Twitter presence with 85,240 followers. The account demonstrates a content-creator strategy, averaging 61.8 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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