47,927
Followers
465
Following
1,493
Tweets
2,443.2
Avg Engagement
170
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itslilmooney'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:2011-11-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:584
- Avg Likes per Tweet:553.5
- Avg Retweets per Tweet:1,889.7
- Followers Analyzed:48,491
Engagement Analysis
Based on 584 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and popularity.
553.5
Avg Likes/Tweet
1,889.7
Avg Retweets/Tweet
323,221
Total Likes
1,103,585
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
51
Median Retweets
1,106
75th Percentile
238,166
Top Tweet
50.98
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
17.3%
Original
9.2%
Replies
62.7%
Retweets
10.8%
Quotes
0.0%
Threads
0.2%
With Media
47.1%
With Links
18.3%
With #Tags
74.8%
With @Mentions
26.5%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 584 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 366 retweets (63% 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 584 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 48,491 followersTheir audience likely includes sports fans, particularly those interested in NFL teams and fan communities.
Average
Audience Quality
21.4%
Suspicion Index
25.8%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.5%
Empty Bio
18.4%
<10 Tweets
10.3%
Mass Following (>2K)
0.0%
New (<90 days)
49.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
11.2%
<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.
52,272,623
Total Potential Reach
48
Median Follower Reach
194
75th Percentile Reach
5.4%
>1K followers
0.7%
>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).
62.6%
Creators
30,333 accounts
19.1%
Consumers
9,252 accounts
18.4%
Dormant
8,906 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):
572
Verified Followers
1.18% of total
5,040
Protected Accounts
10.39% of total
7 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 |
|---|---|---|---|
| @NFLonFOX | 3,653,895 | Sports Media | Football, NFL, Sports |
| @DezBryant | 3,501,947 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @ScHoolboyQ | 2,550,119 | Rapper | music, hip hop, rap |
| @PatrickMahomes | 2,485,666 | Athlete | Football, Family, Golf |
| @49ers | 2,412,766 | Sports Team | Football, Champions, San Francisco |
| @alispagnola | 2,352,823 | Musician | Music, Comedy, Fitness |
| @Chiefs | 2,329,462 | Sports Team | Football, NFL, Kansas City |
| @RSherman_25 | 2,038,365 | Football Player | Football, Stanford, Confidence |
| @Mathieu_Era | 1,288,525 | Football Player | Football, Defense, Leadership |
| @tkelce | 917,388 | Football Player | Football, Faith, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,875
Followers With Bio
19,616
Followers Without Bio
59.55%
% With Bio
40.45%
% 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 584 analyzed466,816
Combined Engagement
0
Total Likes
466,816
Total Retweets
93,363
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Jaedimla1: Dear God, please calm my mind, heal my heart and take my worries away.
RT @BleacherReport: D-Rose in tears as he leaves the floor 🙏 50 points. https://t.co/cEDUQB50yi
RT @BleacherReport: #NBAFinals https://t.co/op7URFEaIJ
RT @T_DMac: When you checking out and your card say "authorizing" longer than usual https://t.co/wz0oREdHDD
RT @_KennyPx: Just in case you forgot how good Colin Kaepernick was... https://t.co/YX31kVR1V5
Key Insights & Takeaways
They are deeply connected to their former team, the Chiefs, and express gratitude for their time with the organization. They have transitioned to a new team, the 49ers, showing loyalty and excitement for their new affiliation. Their content is primarily focused on sports teams and fan experiences, which drives engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 47,927
- + 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 @itslilmooney reveals an exceptionally influential Twitter presence with 47,927 followers. The account demonstrates a content-creator strategy, averaging 2,443.2 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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