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https://www.youtube.com/watch?v=Dft7vqu1m6k&ab_channel=LenLucci
114,005
Followers
858
Following
50,404
Tweets
433.1
Avg Engagement
88
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @odunsitheengine'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: Macro Influencer (100K+)
- Account Age:2010-08-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,069
- Avg Likes per Tweet:252.3
- Avg Retweets per Tweet:180.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,069 tweetsTheir tweets receive high engagement, with an average of 12,391 likes and 8,163 retweets per post.
252.3
Avg Likes/Tweet
180.9
Avg Retweets/Tweet
774,169
Total Likes
555,124
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
51
Median Likes
23
Median Retweets
328
75th Percentile
45,584
Top Tweet
3.8
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
47.1%
Original
2.6%
Replies
31.1%
Retweets
19.2%
Quotes
0.0%
Threads
0.1%
With Media
65.9%
With Links
3.6%
With #Tags
40.1%
With @Mentions
30.4%
With Emojis
81
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,069 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 954 retweets (31% 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 3,069 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 followersTheir audience likely includes young people and activists interested in social justice and cultural commentary.
Average
Audience Quality
23.0%
Suspicion Index
25.1%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.0%
Empty Bio
26.4%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
46.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.3%
No URL
16.2%
<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.
10,285,829
Total Potential Reach
54
Median Follower Reach
243
75th Percentile Reach
6.8%
>1K followers
0.6%
>10K followers
0.1%
>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).
51.6%
Creators
5,161 accounts
22.0%
Consumers
2,201 accounts
26.4%
Dormant
2,638 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):
31
Verified Followers
0.31% of total
637
Protected Accounts
6.37% 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 |
|---|---|---|---|
| @wandecoal | 2,675,254 | Musician | music, entertainment, bookings |
| @ZachBoychuk | 827,644 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 799,077 | Activism | equality, bullying, discrimination |
| @solalexasch | 681,315 | Musician | Music, Travel, Tattoos |
| @THE_THEO_FORD | 472,323 | - | - |
| @UjuAnya | 212,820 | Professor | Antiracist, feminist, multilingualism |
| @ehimeora | 197,265 | Storyteller | Ancestors, Storyteller, ADHD/Autism |
| @IFM923 | 160,361 | Radio Host | Family, Radio, Frequency |
| @Raindance | 115,769 | Film Festival | Independent film, cutting edge training, film festival |
| @Tyreljwill | 114,328 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,602
Followers With Bio
3,398
Followers Without Bio
66.02%
% With Bio
33.98%
% 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 3,069 analyzed199,102
Combined Engagement
63,057
Total Likes
136,045
Total Retweets
39,820
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
we are asking them to stop killing us & they are killing us for asking
RT @mrmacarronii: THEY'RE SHOOTING AT PROTESTERS IN AIRPORT ROAD, EXIT NOW GUYS! Rt Aggressively !
never seen a system that’s so anti-youth
people need blood in LUTH.. there’s not enough blood for the victims
RT @britneyspears: Smiling for my haters 🌹🌹🌹 https://t.co/VFmbSOfPUK
Key Insights & Takeaways
They highlight systemic issues affecting youth and call for accountability. They use personal anecdotes to emphasize their points and connect with their audience. They engage with public figures, showcasing their influence and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 114,005
- + 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 @odunsitheengine reveals an well-established Twitter presence with 114,005 followers. The account demonstrates a content-creator strategy, averaging 433.1 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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