MONKELE
Comedienne || Cinematographer || Entertainer ||[email protected]
1,458,505
Followers
379
Following
21,516
Tweets
228.5
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_Taaooma'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:2018-03-27
- Verification:No
- Location:Nigeria
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:199.9
- Avg Retweets per Tweet:28.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,202 tweetsHer tweets typically receive high engagement, with an average of 16,828 likes and 3,167 retweets. This indicates a strong and active community around her content.
199.9
Avg Likes/Tweet
28.6
Avg Retweets/Tweet
640,219
Total Likes
91,470
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
4
75th Percentile
32,135
Top Tweet
0.16
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
4.7%
Original
1.6%
Replies
92.5%
Retweets
1.2%
Quotes
0.0%
Threads
0.0%
With Media
96.0%
With Links
0.6%
With #Tags
94.1%
With @Mentions
66.4%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 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 2,961 retweets (92% 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 3,202 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 followersHer followers are likely interested in comedy, storytelling, and creative content. They engage with her tweets that are both entertaining and relatable.
Average
Audience Quality
34.1%
Suspicion Index
45.0%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.5%
Empty Bio
52.9%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
70.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
34.5%
<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.
6,740,584
Total Potential Reach
7
Median Follower Reach
30
75th Percentile Reach
1.3%
>1K followers
0.1%
>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).
18.4%
Creators
9,217 accounts
28.7%
Consumers
14,344 accounts
52.9%
Dormant
26,439 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):
6
Verified Followers
0.01% of total
4,392
Protected Accounts
4.39% of total
2 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 |
|---|---|---|---|
| @LeBronJames | 1,006,926 | - | - |
| @solalexasch | 677,695 | Musician | Music, Travel, Tattoos |
| @500K_______ | 455,069 | - | - |
| @ZimEye | 415,131 | Journalist | Zimbabwe, Africa, Journalism |
| @ExMayorUbungo | 339,157 | Politician | Politics, Education, CHADEMA |
| @Omo__alhaja | 126,034 | Influencer | Islam, Football, Cruise |
| @DhaviDey | 121,702 | Influencer | Fashion, Music, Lifestyle |
| @gossipvendor | 114,209 | - | - |
| @TheAfricanPen | 105,430 | Writer | Writing, Reflection, Uganda |
| @InfernalHybrid | 101,123 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,422
Followers With Bio
53,578
Followers Without Bio
46.42%
% With Bio
53.58%
% 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 3,202 analyzed113,947
Combined Engagement
98,717
Total Likes
15,230
Total Retweets
22,789
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Sex Education https://t.co/yMyyIGDFKf
https://t.co/GuERjHDask
Ilorin Alfas be like 😅 https://t.co/3VTRws6Ev7
Wahala x 3! 😂😂 https://t.co/deHtWNb1cb
https://t.co/y9v2qXwKxw
Key Insights & Takeaways
She leverages her platform to share personal and humorous stories, which drives engagement. Her content often includes links to her creative projects, suggesting a focus on self-promotion and portfolio building. She maintains a consistent presence, which helps in building and retaining her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,458,505
- + 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 @_Taaooma reveals an well-established Twitter presence with 1,458,505 followers. The account demonstrates a content-creator strategy, averaging 228.5 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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