Dan Amartey
Professional Footballer | @Ghanafaofficial International 🇬🇭
62,611
Followers
127
Following
420
Tweets
1,274.9
Avg Engagement
124
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DanAmartey'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:2015-01-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:403
- Avg Likes per Tweet:409.2
- Avg Retweets per Tweet:865.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 403 tweetsHis tweets receive high engagement, with an average of 11,355 likes and 975 retweets per post. The use of emojis and hashtags likely contributes to this strong interaction.
409.2
Avg Likes/Tweet
865.7
Avg Retweets/Tweet
164,903
Total Likes
348,876
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
5
Median Retweets
132
75th Percentile
320,343
Top Tweet
20.36
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
27.5%
Original
6.2%
Replies
34.0%
Retweets
32.3%
Quotes
0.0%
Threads
0.5%
With Media
63.8%
With Links
26.8%
With #Tags
49.9%
With @Mentions
29.0%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.95
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.7%
Weekday Posts
33.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 403 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 137 retweets (34% 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 403 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 primarily consists of football fans and supporters of the Ghana national team. The content resonates strongly with people who identify with Ghanaian culture and sports.
Average
Audience Quality
27.8%
Suspicion Index
29.1%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.2%
Empty Bio
30.8%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
62.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
16.0%
<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.
4,873,870
Total Potential Reach
35
Median Follower Reach
122
75th Percentile Reach
3.4%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
37.0%
Creators
3,695 accounts
32.2%
Consumers
3,221 accounts
30.8%
Dormant
3,084 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):
16
Verified Followers
0.16% of total
492
Protected Accounts
4.92% 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 |
|---|---|---|---|
| @SaddickAdams | 895,062 | Sports Journalist | African Football, Sports Journalism, Award-winning |
| @anaw2nt | 599,785 | - | - |
| @Moreno | 428,844 | Influencer | Business, Manager, Serious |
| @addojunr | 228,575 | SportsCaster | Football, Athletics, Sports Documentaries |
| @KudusMohammedGH | 191,113 | - | - |
| @FelixKwakyeOfo1 | 137,170 | Politician | Politics, Communications, Leadership |
| @fanzDAO | 71,377 | Sports Analyst | Fan Culture, Web3, Soccer |
| @AFYLAYEBEYE | 59,307 | - | - |
| @TheGHMediaGuru | 50,867 | Media Executive | Media, Business, Travel |
| @AshleyPhlakes | 50,199 | Footballer | Bayern, Football, Snapchat |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,779
Followers With Bio
4,221
Followers Without Bio
57.79%
% With Bio
42.21%
% 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 403 analyzed391,711
Combined Engagement
65,781
Total Likes
325,930
Total Retweets
78,342
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @LCFC: Leicester City. Champions of England. https://t.co/WRwfysTn2N
🙏🏾
We’re Ready 🇬🇭 🇬🇭🇬🇭🇬🇭 https://t.co/fqYosxYx56
Together, We will win again 🇬🇭 https://t.co/CointAOCLs
VERY GRATEFUL 🙏🏾 🙏🏾🙏🏾 Thanks for all the support and messages. That felt really good !!! https://t.co/gGRkYkwF6i
Key Insights & Takeaways
His content is highly focused on national pride and football, which aligns with his audience's interests. He uses emojis and hashtags effectively to boost engagement and visibility. His verified status is low, suggesting he may not be a public figure or brand, but still has a dedicated fan base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 62,611
- + 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 @DanAmartey reveals an exceptionally influential Twitter presence with 62,611 followers. The account demonstrates a content-creator strategy, averaging 1,274.9 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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