1,171,899
Followers
162
Following
918
Tweets
3,041.0
Avg Engagement
2,141
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @VictorMoses'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: Mega Influencer (1M+)
- Account Age:2012-08-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:890
- Avg Likes per Tweet:2,605.0
- Avg Retweets per Tweet:436.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 890 tweetsVictor Moses's tweets consistently receive high engagement, with an average of 39,000 likes and 6,900 retweets per post. This indicates strong support and interest from his followers.
2,605.0
Avg Likes/Tweet
436.0
Avg Retweets/Tweet
2,318,412
Total Likes
388,055
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
159
Median Likes
162
Median Retweets
3,266
75th Percentile
52,616
Top Tweet
2.59
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
85.8%
Original
3.8%
Replies
9.6%
Retweets
0.8%
Quotes
0.0%
Threads
0.2%
With Media
61.0%
With Links
42.6%
With #Tags
26.4%
With @Mentions
29.3%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 890 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 85 retweets (10% 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 890 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 50,000 followersHis audience primarily consists of football fans and sports enthusiasts who follow his career and personal updates. The engagement suggests a loyal and active community interested in his activities.
Average
Audience Quality
28.2%
Suspicion Index
27.8%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.4%
Empty Bio
29.7%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
67.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
16.1%
<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.
27,400,719
Total Potential Reach
29
Median Follower Reach
106
75th Percentile Reach
2.9%
>1K followers
0.2%
>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).
38.3%
Creators
19,137 accounts
32.0%
Consumers
15,997 accounts
29.7%
Dormant
14,866 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):
127
Verified Followers
0.13% of total
5,241
Protected Accounts
5.24% 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 | 14,105,502 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FrankKhalidUK | 985,873 | Businessman | Chelsea FC, Philanthropy, Business |
| @JohnTerry26 | 614,307 | Footballer | Football, England, Make A Wish |
| @fcsm_official | 602,867 | Football Club | Football, Spartak Moscow, Telegram |
| @KmPasso | 454,622 | Influencer | Pensamentos, Sedátia, Beijos |
| @Moreno | 430,216 | Influencer | Business, Manager, Serious |
| @MohamedKoffii | 412,165 | Footballer | Football, Burkina Faso, International |
| @LaticsOfficial | 329,855 | Football Club | Football, Soccer, FA Cup |
| @Chelsea_FL | 314,218 | Sports News | Football, Chelsea, News |
| @KatiePiper_ | 302,535 | Author | Author, Broadcaster, Mother |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,513
Followers With Bio
34,487
Followers Without Bio
65.51%
% With Bio
34.49%
% 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 890 analyzed236,035
Combined Engagement
206,146
Total Likes
29,889
Total Retweets
47,207
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
https://t.co/CNfYbWnzit
#EndSARS https://t.co/kI5YlMgn37
Delighted to have joined @Fenerbahce 💯 A huge club with incredible fans and an amazing history 💪🏿 Can’t wait to get going! 🇹🇷 I’d also like to thank everyone at @ChelseaFC and I wish the team and the fans the very best for the future!
https://t.co/IpQ16r5QVB
Have a good weekend everyone ✌🏾 https://t.co/ngto3DvZed
Key Insights & Takeaways
He maintains a professional image while engaging with fans personally His tweets often include motivational messages and personal greetings He shares content that reflects both his career and personal life
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,171,899
- + 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 @VictorMoses reveals an exceptionally influential Twitter presence with 1,171,899 followers. The account demonstrates a content-creator strategy, averaging 3,041.0 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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