21,637
Followers
199
Following
1,009
Tweets
3,942.7
Avg Engagement
122
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ENeal73'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:2018-10-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:587
- Avg Likes per Tweet:54.5
- Avg Retweets per Tweet:3,888.2
- Followers Analyzed:21,115
Engagement Analysis
Based on 587 tweetsThe account has a high level of engagement, indicating a loyal and active follower base. The use of hashtags and links suggests a focus on community interaction and brand promotion.
54.5
Avg Likes/Tweet
3,888.2
Avg Retweets/Tweet
31,969
Total Likes
2,282,394
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
73
Median Retweets
470
75th Percentile
299,466
Top Tweet
182.22
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
4.8%
Original
2.4%
Replies
89.8%
Retweets
3.1%
Quotes
0.0%
Threads
0.0%
With Media
56.0%
With Links
30.0%
With #Tags
93.5%
With @Mentions
39.5%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.5
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.6%
Weekday Posts
32.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 587 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 527 retweets (90% 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 587 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 21,115 followersThe audience appears to be sports fans, particularly those interested in college football and basketball. They are likely young adults who enjoy interactive and motivational content.
Good
Audience Quality
18.9%
Suspicion Index
20.9%
Low-Quality %
102
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
11.0%
<10 Tweets
16.5%
Mass Following (>2K)
0.0%
New (<90 days)
40.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.3%
No URL
6.6%
<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.
76,279,899
Total Potential Reach
102
Median Follower Reach
315
75th Percentile Reach
8.0%
>1K followers
1.1%
>10K followers
0.4%
>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).
73.9%
Creators
15,596 accounts
15.1%
Consumers
3,195 accounts
11.0%
Dormant
2,324 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):
367
Verified Followers
1.74% of total
2,385
Protected Accounts
11.3% of total
8 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 |
|---|---|---|---|
| @NFL | 32,914,848 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,105,788 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NFLonFOX | 3,654,272 | Sports Media | Football, NFL, Sports |
| @Giants | 2,001,132 | Sports Team | Football, Super Bowl, New York |
| @CBSSports | 1,377,683 | Sports Media | Sports, News, Updates |
| @brgridiron | 801,841 | Sports Media | Football, Sports, News |
| @solalexasch | 678,154 | Musician | Music, Travel, Tattoos |
| @CFBPlayoff | 625,007 | Sports Organization | Football, College, Playoff |
| @gmfb | 570,863 | Sports Analyst | Football, NFL, Morning TV |
| @Michael_Fabiano | 564,309 | Fantasy Analyst | Fantasy Football, Yankees, Cowboys |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,657
Followers With Bio
7,458
Followers Without Bio
64.68%
% With Bio
35.32%
% 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 587 analyzed1,073,628
Combined Engagement
0
Total Likes
1,073,628
Total Retweets
214,726
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @_rockim: Don’t stop retweeting! This man is set to be MURDERED in 19 DAYS, for a crime he DID NOT commit. https://t.co/ehxTb9GJAK
RT @darealtishaaa: this is so sad 🥺 it made me cry https://t.co/36cWrNjOHM
RT @blackartivist: Police in the US have killed 120 people since George Floyd. 20 days. 120 lives.
RT @dijoni: This black man creation should be all over the mainstream media. https://t.co/sWT2qUKC2A
RT @adiammm: Y’all..... https://t.co/8AoO1YhERi
Key Insights & Takeaways
The user frequently uses sports-related hashtags and mentions college teams, indicating a strong connection to sports culture. They engage with other athletes and coaches, suggesting a network within the sports community. The inclusion of product links implies an interest in personal branding and monetization through social media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 21,637
- + 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 @ENeal73 reveals an exceptionally influential Twitter presence with 21,637 followers. The account demonstrates a content-creator strategy, averaging 3,942.7 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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