Thierry Nyann 🇬🇭
I write & talk sports around and about • Media General | Irrepressible | Relevant deals - [email protected]
225,075
Followers
925
Following
32,309
Tweets
1,051.1
Avg Engagement
83
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nyannthierry'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:2011-04-27
- Verification:No
- Location:Africa
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:998.0
- Avg Retweets per Tweet:53.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsTheir tweets receive an average of 32,753 likes and 2,050 retweets, indicating strong audience interaction. The use of links and emojis likely contributes to higher engagement rates.
998.0
Avg Likes/Tweet
53.1
Avg Retweets/Tweet
3,243,397
Total Likes
172,664
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
273
Median Likes
15
Median Retweets
1,007
75th Percentile
67,511
Top Tweet
4.67
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
80.5%
Original
8.6%
Replies
8.5%
Retweets
2.4%
Quotes
0.0%
Threads
0.2%
With Media
55.9%
With Links
14.5%
With #Tags
19.9%
With @Mentions
41.2%
With Emojis
79
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
63.4%
Weekday Posts
36.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 277 retweets (9% 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 3,250 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 primarily consists of sports enthusiasts, particularly football fans, who are interested in in-depth analysis and real-time updates. They are likely active on social media and value visual and concise content.
Average
Audience Quality
33.9%
Suspicion Index
43.0%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.4%
Empty Bio
48.7%
<10 Tweets
7.4%
Mass Following (>2K)
0.0%
New (<90 days)
67.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
27.7%
<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.
27,064,823
Total Potential Reach
17
Median Follower Reach
62
75th Percentile Reach
1.8%
>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).
19.4%
Creators
9,692 accounts
31.9%
Consumers
15,974 accounts
48.7%
Dormant
24,334 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):
69
Verified Followers
0.07% of total
3,275
Protected Accounts
3.28% of total
2 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 | 14,100,186 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 1,002,134 | - | - |
| @kwadwosheldon | 895,251 | Content Creator | Disruptor, Content Creator, CEO |
| @ZachBoychuk | 828,905 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @iownjd | 777,358 | Lawyer | learn, inspire, engage |
| @solalexasch | 679,260 | Musician | Music, Travel, Tattoos |
| @anaw2nt | 613,601 | - | - |
| @456k__ | 456,248 | - | - |
| @eurofootcom | 429,875 | Sports Media | Football, Europe, Home |
| @Opresii | 426,948 | Influencer | Create, Inspire, Lighten up |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,072
Followers With Bio
54,928
Followers Without Bio
45.07%
% With Bio
54.93%
% 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 3,250 analyzed252,300
Combined Engagement
237,928
Total Likes
14,372
Total Retweets
50,460
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Sadio Mane and Sadio _________? https://t.co/pimNbSR9dH
This Smile from Memphis 😍 https://t.co/BzAacw6eNq
Sadio Mane 🔴⚪️ https://t.co/EPPN6wKJgc
Sadio Mane 💔 https://t.co/NQOc7InnXF
🇸🇳Bambali will soon become a city🤞🏾 https://t.co/Q0HhiXLEFB
Key Insights & Takeaways
They focus heavily on football players and teams, especially those from Africa and the US, which may indicate a niche audience interest. Their content often includes visual elements like images and links, which likely drive engagement and interaction. They maintain a professional yet approachable tone, balancing media commentary with personal insights.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 225,075
- + 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 @nyannthierry reveals an exceptionally influential Twitter presence with 225,075 followers. The account demonstrates a content-creator strategy, averaging 1,051.1 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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