Yale Football
The official Twitter account of Yale Football. 2022 and 2023 Ivy League Champs 💍 💍 . NCAA Division I FCS & Ivy League member. @RecruitYaleFB
78,170
Followers
21,420
Following
5,520
Tweets
73.0
Avg Engagement
200
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yalefootball'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:2012-03-19
- Verification:No
- Location:New Haven, CT
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:61.6
- Avg Retweets per Tweet:11.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,243 tweetsThe account consistently receives moderate to high engagement, with an average of 697 likes and 121 retweets per tweet. This suggests a dedicated fan base that actively interacts with the content.
61.6
Avg Likes/Tweet
11.4
Avg Retweets/Tweet
199,874
Total Likes
36,933
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
45
Median Likes
7
Median Retweets
99
75th Percentile
1,286
Top Tweet
0.93
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
80.9%
Original
3.5%
Replies
11.0%
Retweets
4.6%
Quotes
0.0%
Threads
0.2%
With Media
97.5%
With Links
89.6%
With #Tags
32.3%
With @Mentions
41.0%
With Emojis
146
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
60.0%
Weekday Posts
40.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 356 retweets (11% 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 3,243 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 fans of Yale Football, prospective recruits, and followers of Ivy League sports. The account also engages with alumni and supporters who are passionate about the team's achievements.
Good
Audience Quality
13.3%
Suspicion Index
11.0%
Low-Quality %
114
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
10.9%
Empty Bio
22.3%
<10 Tweets
11.0%
Mass Following (>2K)
0.0%
New (<90 days)
19.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
56.4%
No URL
11.1%
<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.
16,919,728
Total Potential Reach
114
Median Follower Reach
228
75th Percentile Reach
2.5%
>1K followers
0.3%
>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).
32.1%
Creators
3,210 accounts
45.6%
Consumers
4,561 accounts
22.3%
Dormant
2,229 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):
205
Verified Followers
2.05% of total
307
Protected Accounts
3.07% 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 |
|---|---|---|---|
| @JohnCena | 14,093,872 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Schultz_Report | 200,455 | Sports Analyst | Sports, Analysis, Podcasts |
| @thedailyrabbit | 69,413 | - | - |
| @CoachCollins | 53,052 | Football Coach | Football, Coaching, Winning |
| @tanvirsadiq | 35,827 | - | - |
| @VTOSPORTS | 30,403 | - | - |
| @CoachJones256 | 30,099 | - | - |
| @brendatracy24 | 26,692 | - | - |
| @_EliteProspects | 21,012 | - | - |
| @Jody_Jackson | 20,240 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,905
Followers With Bio
1,095
Followers Without Bio
89.05%
% With Bio
10.95%
% 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 3,243 analyzed5,122
Combined Engagement
3,748
Total Likes
1,374
Total Retweets
1,024
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
IVY LEAGUE CHAMPIONS. 🌿🏆 #ThisIsYale | #Team149 https://t.co/x6K6OJrlhh
Congratulations, Bulldog! 👇 https://t.co/RvjAy3DFKR
2019 IVY LEAGUE CHAMPIONS! #ThisIsYale https://t.co/AM418XYswj
𝐓𝐡𝐞 𝐠𝐚𝐦𝐞 𝐰𝐚𝐬 𝐝𝐞𝐟𝐢𝐧𝐞𝐝 𝐡𝐞𝐫𝐞. Introducing our commemorative throwbacks, celebrating 150 years of Yale Football. #ThisIsYale https://t.co/9l31tni2Bd
RT @NFL: Colts safety and Damar Hamlin's high school teammate Rodney Thomas II honors Damar after his interception 🫶 #LoveForDamar @HamlinIsland @Rodney_Thomas26 https://t.co/Zu2gyQ2tKg
Key Insights & Takeaways
The account emphasizes Ivy League championships and team pride, which resonate strongly with its audience. It uses hashtags like #ThisIsYale and #Team149 to foster a sense of community and identity. The focus on recruiting and team milestones highlights the account's role in both celebration and outreach.
Strengths
- + Established follower base of 78,170
- + 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 @yalefootball reveals an growing Twitter presence with 78,170 followers. The account demonstrates a content-creator strategy, averaging 73.0 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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