Stephen Appiah
Brand Ambassador | @betway_gh | @TotalEnergiesGH | Milo | Vita Milk |Positive Mind, Positive Vibes, Positive Life |
89,687
Followers
110
Following
1,119
Tweets
1,101.2
Avg Engagement
15
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @StephenAppiah'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:2021-03-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,024
- Avg Likes per Tweet:902.9
- Avg Retweets per Tweet:198.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,024 tweetsHis tweets receive an average of 40,342 likes and 2,899 retweets, indicating strong audience interaction. The use of emojis and links to external content likely contributes to his high engagement rates.
902.9
Avg Likes/Tweet
198.3
Avg Retweets/Tweet
924,586
Total Likes
203,041
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
18
Median Retweets
171
75th Percentile
114,463
Top Tweet
12.28
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
14.6%
Original
3.9%
Replies
73.3%
Retweets
8.2%
Quotes
0.0%
Threads
1.0%
With Media
68.0%
With Links
31.8%
With #Tags
79.1%
With @Mentions
50.0%
With Emojis
128
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.6%
Weekday Posts
19.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,024 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 751 retweets (73% 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 1,024 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 followersHis audience appears to be interested in lifestyle, wellness, and brand promotions. They are likely young adults and teenagers who value positivity and motivational content.
Average
Audience Quality
28.6%
Suspicion Index
32.0%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.6%
Empty Bio
30.8%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
65.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
15.3%
<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.
2,783,532
Total Potential Reach
37
Median Follower Reach
112
75th Percentile Reach
2.5%
>1K followers
0.3%
>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).
33.4%
Creators
3,342 accounts
35.8%
Consumers
3,576 accounts
30.8%
Dormant
3,082 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):
11
Verified Followers
0.11% of total
467
Protected Accounts
4.67% 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 |
|---|---|---|---|
| @DBLACKGH | 716,079 | Musician | Music, Awards, Impact |
| @MarkMwandosya | 86,194 | Politician | Politics, Education, Engineering |
| @CitiSportsGHA | 82,573 | Sports News | Sports, News, Radio |
| @efsanefb_34 | 61,034 | Supporter | Fenerbahce, Support, Quick Response |
| @Sefadzi__ | 57,723 | - | - |
| @maxtvgh | 44,173 | TV Channel | Sports, Entertainment, Live Shows |
| @AsaaseNana | 42,974 | Writer | Poetry, Literature, Storytelling |
| @sportsbriefcom | 40,647 | - | - |
| @Foknbonch1 | 29,309 | - | - |
| @Siphe_kh | 25,975 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,141
Followers With Bio
4,859
Followers Without Bio
51.41%
% With Bio
48.59%
% 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 1,024 analyzed288,269
Combined Engagement
271,284
Total Likes
16,985
Total Retweets
57,654
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
💙💛 https://t.co/2I9VtOTGXl
Mood forever 🔥🔥🔥🔥💛💙 https://t.co/UBMZmkyLpG
😎 https://t.co/2cNkimhN7j
ODEESHI 🇬🇭 https://t.co/n1rMDjMQ2C
🔥🔥🔥🔥🔥🔥🔥 https://t.co/GYHDZSJeNK
Key Insights & Takeaways
He leverages brand partnerships to expand his reach and influence. His content is highly visual and emotionally engaging, using emojis and links to drive interaction. He consistently promotes a positive mindset, which resonates well with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89,687
- + 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 @StephenAppiah reveals an exceptionally influential Twitter presence with 89,687 followers. The account demonstrates a content-creator strategy, averaging 1,101.2 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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