Penn Football
The official X account of Penn Football, 18-time Ivy League Champions. Follow us on IG: pennfootball. #FightOnPenn x #BEGREAT
62,131
Followers
6,912
Following
14,669
Tweets
59.0
Avg Engagement
191
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PennFB'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:2010-03-15
- Verification:No
- Location:Franklin Field
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:42.2
- Avg Retweets per Tweet:16.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsThe account maintains a steady level of engagement with an average of 450 likes and 60 retweets per tweet. The use of hashtags and interactive content helps drive interaction and visibility.
42.2
Avg Likes/Tweet
16.8
Avg Retweets/Tweet
137,101
Total Likes
54,512
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
5
Median Retweets
77
75th Percentile
10,902
Top Tweet
0.95
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
73.5%
Original
4.1%
Replies
18.7%
Retweets
3.7%
Quotes
0.0%
Threads
0.6%
With Media
85.6%
With Links
69.7%
With #Tags
34.5%
With @Mentions
42.5%
With Emojis
151
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.7%
Weekday Posts
40.3%
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 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 608 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 followersThe primary audience includes football fans, prospective recruits, and students interested in Penn athletics. The content is tailored to engage both current followers and potential future athletes.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
117
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
52.5%
No URL
100.0%
<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.
2,719,581
Total Potential Reach
117
Median Follower Reach
229
75th Percentile Reach
2.1%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
292
Protected Accounts
2.92% of total
3 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 |
|---|---|---|---|
| @ProFootballHOF | 316,597 | Sports Organization | Football, Hall of Fame, History |
| @CSAPrepStar | 79,556 | Recruiting | Athletes, Recruiting, Student |
| @CoachCollins | 52,951 | Football Coach | Football, Coaching, Winning |
| @Redefining_Dad | 39,179 | Parenting | Parenting, Family, Lifestyle |
| @CoachJones256 | 31,346 | - | - |
| @Deemoney521 | 26,095 | - | - |
| @Jody_Jackson | 20,270 | - | - |
| @MikeBerardino | 19,441 | - | - |
| @karlos_sr | 15,494 | - | - |
| @UHALLTHEBALL | 15,168 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,208
Followers With Bio
792
Followers Without Bio
92.08%
% With Bio
7.92%
% 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 analyzed29,245
Combined Engagement
1,442
Total Likes
27,803
Total Retweets
5,849
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @Browns: WE’RE IN. https://t.co/IkSNZiJzrd
RT @SportsCenter: For the first time since 2002 ... THE BROWNS ARE GOING TO THE PLAYOFFS 👏 https://t.co/Ae2ByrhGz3
RT @Browns: THAT’S OUR COACH. 😤 Kevin Stefanski is the 2020 Coach of the Year! https://t.co/EtY4p6ByrF
With the 2022 recruiting cycle approaching the end, it's time to begin hunting 2023's! Who wants to BE GREAT? 🔴🔵 #BeGreat #BEGR23T #FightOnPenn https://t.co/bUwGH1amld
RT @Browns: Coach Stefanski is just getting started. https://t.co/MO6Q5Ux5sb
Key Insights & Takeaways
The account frequently highlights recruiting updates and future talent, indicating a focus on growth and development. It uses branded hashtags like #FightOnPenn and #BeGreat to build a cohesive identity and community. The inclusion of links to Instagram and other platforms suggests a multi-channel engagement strategy.
Strengths
- + Established follower base of 62,131
- + 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 @PennFB reveals an growing Twitter presence with 62,131 followers. The account demonstrates a content-creator strategy, averaging 59.0 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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