nana aba
Better a witty fool than a foolish wit - Shakespeare ||Media, MUFC, Oly, NBA, EIB ||Astronomy ||RTs are endorsements ||When you come at me, you best not miss
2,163,968
Followers
263
Following
201,876
Tweets
438.6
Avg Engagement
462
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @thenanaaba'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:2012-01-09
- Verification:No
- Location:Earth
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:376.1
- Avg Retweets per Tweet:62.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,236 tweetsTheir tweets consistently receive high engagement, with an average of 9,207 likes and 758 retweets per post. This indicates a loyal and interactive follower base.
376.1
Avg Likes/Tweet
62.5
Avg Retweets/Tweet
1,217,029
Total Likes
202,356
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
71
Median Likes
8
Median Retweets
302
75th Percentile
55,597
Top Tweet
0.2
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
30.4%
Original
14.4%
Replies
25.8%
Retweets
29.4%
Quotes
0.0%
Threads
0.0%
With Media
50.3%
With Links
4.6%
With #Tags
46.0%
With @Mentions
29.2%
With Emojis
61
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.47
Reply/Original Ratio
1.14
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 835 retweets (26% 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 3,236 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 followersThe audience is likely interested in media, sports, and entertainment, with a preference for witty and insightful content. They engage actively with trending topics and cultural references.
Below Average
Audience Quality
43.3%
Suspicion Index
67.4%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.3%
Empty Bio
76.5%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
74.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
59.4%
<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.
6,817,969
Total Potential Reach
3
Median Follower Reach
14
75th Percentile Reach
1.0%
>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).
8.1%
Creators
4,061 accounts
15.4%
Consumers
7,683 accounts
76.5%
Dormant
38,256 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):
90
Verified Followers
0.09% of total
4,832
Protected Accounts
4.83% of total
1 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 |
|---|---|---|---|
| @Realomosexy | 1,544,695 | Actress | Actress, Singer, Activist |
| @noelitoflow | 472,877 | Inspirational Speaker | God, Jesus, Purpose |
| @M_455K | 455,795 | - | - |
| @ZimEye | 417,311 | Journalist | Zimbabwe, Africa, Journalism |
| @peterndoro | 357,706 | Journalist | Journalism, Broadcasting, Africa |
| @SSscoop475 | 241,646 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @ama_serwaaa | 177,055 | Influencer | Fashion, Beauty, Promotions |
| @TipsterDaebreak | 146,004 | - | - |
| @travisa850 | 125,967 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @DhaviDey | 122,840 | Influencer | Fashion, Music, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,712
Followers With Bio
74,288
Followers Without Bio
25.71%
% With Bio
74.29%
% 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 3,236 analyzed109,943
Combined Engagement
37,313
Total Likes
72,630
Total Retweets
21,989
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: Changed my name to Mr. Tweet, now Twitter won’t let me change it back 🤣
RT @ChelseaFC: Everyone at Chelsea Football Club is devastated to learn of the tragic passing of our former player, Christian Atsu. Our tho…
Do you miss me? https://t.co/7RyL9qxGi7
Left or Right for my dp?#womenofvalour https://t.co/QdOQSBYx4v
She. https://t.co/2ZFuzWQBDQ
Key Insights & Takeaways
They leverage humor and wit to connect with their audience Their content often includes personal and cultural references They maintain a strong presence in sports and media discussions
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,163,968
- + 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 @thenanaaba reveals an well-established Twitter presence with 2,163,968 followers. The account demonstrates a content-creator strategy, averaging 438.6 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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