Mercy
Chief of Staff ||| board @Illmifund Chair, Technical Advisory Council @TBLFoundation |||Invested in #Geopolitics
70,910
Followers
2,188
Following
227,577
Tweets
1,291.6
Avg Engagement
247
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AbangMercy'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:2009-10-03
- Verification:No
- Location:Berlin, New York, Abuja, Boki
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:32.4
- Avg Retweets per Tweet:1,259.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,229 tweetsAbangMercy's tweets receive high engagement, with an average of 7,027 likes and 2,296 retweets per tweet. This indicates a highly active and interested audience.
32.4
Avg Likes/Tweet
1,259.2
Avg Retweets/Tweet
104,663
Total Likes
4,066,069
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
111
75th Percentile
415,422
Top Tweet
18.22
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
14.7%
Original
24.6%
Replies
51.1%
Retweets
9.6%
Quotes
0.0%
Threads
0.5%
With Media
47.3%
With Links
12.4%
With #Tags
78.8%
With @Mentions
15.1%
With Emojis
146
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.67
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,649 retweets (51% 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 3,229 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 primarily consists of Nigerian political enthusiasts and individuals interested in geopolitics. The content is also appealing to those following Nigerian elections and public figures.
Average
Audience Quality
20.8%
Suspicion Index
18.8%
Low-Quality %
146
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.9%
Empty Bio
17.9%
<10 Tweets
25.5%
Mass Following (>2K)
0.0%
New (<90 days)
35.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.4%
No URL
10.8%
<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.
13,834,859
Total Potential Reach
146
Median Follower Reach
524
75th Percentile Reach
14.4%
>1K followers
1.6%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.8%
Creators
6,482 accounts
17.3%
Consumers
1,728 accounts
17.9%
Dormant
1,790 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):
71
Verified Followers
0.71% of total
366
Protected Accounts
3.66% of total
5 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 |
|---|---|---|---|
| @SinghLions | 1,328,357 | Restaurateur | Food, Travel, Influencer |
| @daddyhope | 600,715 | Journalist | Journalism, Filmmaking, Leadership |
| @BrymOlawale | 503,919 | - | - |
| @JamesMelville | 438,590 | Consultant | Communications, Sponsorship, Writing |
| @Tunde_OD | 284,657 | - | - |
| @kemiadetiba | 245,214 | Director | Storytelling, Visuals, Director |
| @Wizarab10 | 223,633 | Influencer | Gent, Noble, Wizardry |
| @arusbridger | 219,232 | Editor | Journalism, Media, Oversight |
| @agazdecki | 205,586 | - | - |
| @Ugaman01 | 163,915 | Digital Strategist | Digital Strategy, Building Future, Music |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,313
Followers With Bio
2,687
Followers Without Bio
73.13%
% With Bio
26.87%
% 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 3,229 analyzed881,319
Combined Engagement
0
Total Likes
881,319
Total Retweets
176,264
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
RT @BBCBreaking: Queen Elizabeth II, the UK’s monarch for the past 70 years, has died aged 96 https://t.co/nuFdc3PV49
RT @POTUS: I just want to make a few things clear: The Holocaust happened. Hitler was a demonic figure. And instead of giving it a platform, our political leaders should be calling out and rejecting antisemitism wherever it hides. Silence is complicity.
RT @sndrjj_: existing is exhausting
RT @globalstefff: Big or small, I appreciate anything that’s done for me. 💯!!
Key Insights & Takeaways
AbangMercy frequently discusses Nigerian presidential candidates and their impact on the political landscape. They emphasize the importance of media engagement and its potential toll on public figures. Their analysis often highlights the intersection of politics and geopolitics in Nigeria.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 70,910
- + High community engagement through conversations
- + 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 @AbangMercy reveals an exceptionally influential Twitter presence with 70,910 followers. The account demonstrates a conversation-first approach, averaging 1,291.6 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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