#LadysFest
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216,627
Followers
563
Following
14,040
Tweets
254.0
Avg Engagement
47
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @eno_barony'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:2012-12-05
- Verification:No
- Location:Ghana/West Africa
Data Summary
- Tweets Analyzed:3,076
- Avg Likes per Tweet:224.0
- Avg Retweets per Tweet:30.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,076 tweetsEno Barony's tweets receive an average of 13,139 likes and 1,944 retweets, showing strong audience interaction. Their content is well-received and often shared, indicating a loyal and active fan base.
224.0
Avg Likes/Tweet
30.1
Avg Retweets/Tweet
688,879
Total Likes
92,443
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
82
75th Percentile
44,473
Top Tweet
1.17
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
26.9%
Original
19.1%
Replies
51.3%
Retweets
2.7%
Quotes
0.0%
Threads
0.3%
With Media
52.5%
With Links
48.6%
With #Tags
81.8%
With @Mentions
34.1%
With Emojis
97
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.71
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.6%
Weekday Posts
23.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,076 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 1,577 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 3,076 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 appears to be interested in music, particularly rap and hip-hop, with a focus on artists and fans. They are likely looking for content that is both entertaining and thought-provoking.
Average
Audience Quality
31.7%
Suspicion Index
35.2%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
50.2%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
66.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
29.9%
<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.
34,325,095
Total Potential Reach
16
Median Follower Reach
63
75th Percentile Reach
2.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
20.0%
Creators
9,995 accounts
29.8%
Consumers
14,887 accounts
50.2%
Dormant
25,118 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):
29
Verified Followers
0.03% of total
3,060
Protected Accounts
3.06% 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 | 14,099,859 | Wrestler | Wrestling, Motivation, Self-promotion |
| @thenanaaba | 2,012,333 | Journalist | MUFC, Oly, NBA |
| @tv3_ghana | 1,945,882 | Media | News, Programs, Events |
| @KWESIARTHUR_ | 1,554,386 | Musician | Music, Beats, Bookings |
| @GHOneTV | 1,447,909 | Media | Breaking news, Exciting shows, Best Experience |
| @kwadwosheldon | 895,030 | Content Creator | Disruptor, Content Creator, CEO |
| @official4SYTETV | 844,916 | Entertainment | Music, Entertainment, Awards |
| @KafuiDey | 536,272 | TV Host | Mental Health, Moderator, TV Host |
| @SneakerNyame_ | 405,674 | - | - |
| @EvaAlordiah | 391,085 | Writer | Writer, Rapper, Business Coach |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,833
Followers With Bio
37,167
Followers Without Bio
62.83%
% With Bio
37.17%
% 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 3,076 analyzed99,283
Combined Engagement
86,393
Total Likes
12,890
Total Retweets
19,857
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Life is too short to commit suicide BE PATIENT YOU WILL DIE #Okay https://t.co/jjBaPMPkkw
When @sarkodie heard my flow. Respect 🙏 #highest #RapGoddess #ArgumentDone https://t.co/Qmk6DWSGrj
When do you want me to drop this. #ForceDemToPlayNonsense #RapGoddess #ArgumentDone https://t.co/kOjiE8ywzr
BEST RAPPERS. https://t.co/dRt7yJTNUN
Happy Birthday to me … #AfricanRapGoddess #RapGoddess https://t.co/PAyLXzE3J4
Key Insights & Takeaways
Eno Barony uses personal and motivational messages to connect with their audience. They frequently engage with other artists and use hashtags to increase visibility. Their content often includes links, suggesting a focus on promotion or additional resources.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 216,627
- + 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 @eno_barony reveals an well-established Twitter presence with 216,627 followers. The account demonstrates a content-creator strategy, averaging 254.0 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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