Marc Sessler
🎙@AroundTheNFL Podcast 📺 @NFLNetwork 📓 https://www.nfl.com/ 📷 IG: marcsessler
116,169
Followers
2,898
Following
31,687
Tweets
181.7
Avg Engagement
2,395
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarcSessler'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:2009-03-15
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:134.0
- Avg Retweets per Tweet:47.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsMarc Sessler's tweets typically receive high engagement, with an average of 6,788 likes and 379 retweets, indicating strong audience interaction. His content is both informative and entertaining, driving consistent engagement.
134.0
Avg Likes/Tweet
47.6
Avg Retweets/Tweet
435,370
Total Likes
154,649
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
2
Median Retweets
119
75th Percentile
44,118
Top Tweet
1.56
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
30.3%
Original
34.3%
Replies
19.1%
Retweets
16.3%
Quotes
0.0%
Threads
0.3%
With Media
50.8%
With Links
11.0%
With #Tags
62.8%
With @Mentions
13.9%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.13
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 621 retweets (19% 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 3,248 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 NFL enthusiasts, podcast listeners, and social media followers who appreciate his unique perspective and engaging personality. The mix of professional and personal content appeals to both casual and dedicated fans.
Average
Audience Quality
26.0%
Suspicion Index
33.6%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.2%
Empty Bio
28.8%
<10 Tweets
11.4%
Mass Following (>2K)
0.0%
New (<90 days)
54.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
20.9%
<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.
28,703,789
Total Potential Reach
32
Median Follower Reach
156
75th Percentile Reach
5.0%
>1K followers
0.9%
>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).
51.9%
Creators
5,191 accounts
19.2%
Consumers
1,925 accounts
28.8%
Dormant
2,884 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):
120
Verified Followers
1.2% of total
1,008
Protected Accounts
10.08% of total
5 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 | 14,093,658 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RGIII | 2,201,478 | Athlete | Family, Football, Advocacy |
| @RSherman_25 | 2,026,503 | Football Player | Football, Stanford, Confidence |
| @SinghLions | 1,331,088 | Restaurateur | Food, Travel, Influencer |
| @ApplePodcasts | 635,615 | Podcast Platform | Podcasts, Creators, Access |
| @bittman | 510,055 | Chef | cooking, public health, team player |
| @Moreno | 430,984 | Influencer | Business, Manager, Serious |
| @ScottHanson | 377,463 | Sports Broadcaster | Christian, Lifelong Learner, NFL |
| @Ky1eLong | 352,630 | Athlete | Sim Racing, PC Gaming, Mountain Appreciation |
| @ProFootballHOF | 316,070 | Sports Organization | Football, Hall of Fame, History |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,379
Followers With Bio
4,621
Followers Without Bio
53.79%
% With Bio
46.21%
% 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 3,248 analyzed118,452
Combined Engagement
37,147
Total Likes
81,305
Total Retweets
23,690
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @EmmanuelAcho: Chad Wheeler of the @Seahawks tried to kill his girlfriend because she wouldn’t bow to him. He was even surprised at her survival. If you’re not outraged, you’re part of the problem. @NFL handle this swiftly & decisively. https://t.co/R2IF1HwMow
RT @HamillHimself: https://t.co/ShVutW2Zml
Kliff Kingsbury vanishing to Thailand on the @AZCardinals’ dime is the best ending to an HBO show ever.
My heart is broken. We have lost our amazing friend Chris Wesseling. An ally like no other. The most unique of men. The finest drinking pal + thinker. Honest. Fair. Kind. Real. A dreamer. We will love + protect his beautiful wife @LakishaJackson + little Linc until the end. ♥️
Bye, Browns.
Key Insights & Takeaways
He blends humor with in-depth NFL analysis, making complex topics accessible and enjoyable. His personal reflections and tributes show a deep connection with his audience and the NFL community. He effectively uses his platform to highlight both professional and personal moments, enhancing relatability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 116,169
- + 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 @MarcSessler reveals an well-established Twitter presence with 116,169 followers. The account demonstrates a conversation-first approach, averaging 181.7 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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