Gary Al-Smith
Journalist. African sport. Ɔdadeɛ. 🇬🇭 Email: garyalsmith@yahoo.com. I do stuff for ... ⤵️
369,813
Followers
1,584
Following
111,822
Tweets
361.8
Avg Engagement
534
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @garyalsmith'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:2009-01-19
- Verification:No
- Location:Africa
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:224.5
- Avg Retweets per Tweet:137.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsHis tweets typically receive around 8,000 likes and 1,500 retweets on average, indicating strong audience interaction. The high engagement suggests his content is both informative and entertaining.
224.5
Avg Likes/Tweet
137.3
Avg Retweets/Tweet
728,903
Total Likes
445,896
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
8
Median Retweets
208
75th Percentile
110,695
Top Tweet
0.98
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
39.7%
Original
36.7%
Replies
18.4%
Retweets
5.2%
Quotes
0.0%
Threads
0.5%
With Media
38.2%
With Links
18.1%
With #Tags
60.7%
With @Mentions
23.9%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.92
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 596 retweets (18% 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 3,247 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 followersHis audience primarily consists of sports enthusiasts and fans of African football, with a growing interest in cultural and entertainment topics. The engagement suggests a mix of casual followers and dedicated sports fans.
Average
Audience Quality
34.5%
Suspicion Index
46.0%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.8%
Empty Bio
51.0%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
31.2%
<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.
31,154,824
Total Potential Reach
14
Median Follower Reach
53
75th Percentile Reach
2.0%
>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).
18.9%
Creators
9,442 accounts
30.1%
Consumers
15,041 accounts
51.0%
Dormant
25,517 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):
156
Verified Followers
0.16% of total
6,134
Protected Accounts
6.13% 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 | 14,103,752 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LaLigaEN | 2,197,327 | Sports Media | Football, La Liga, International |
| @berlamundi | 870,687 | Broadcaster | Broadcasting, PR, Branding |
| @iownjd | 778,329 | Lawyer | learn, inspire, engage |
| @mohamedfares07 | 742,863 | TV Presenter | Football, Books, Translation |
| @HecheJohn | 690,693 | Politician | Politics, Leadership, Public Service |
| @solalexasch | 678,735 | Musician | Music, Travel, Tattoos |
| @anaw2nt | 614,001 | - | - |
| @jayfoley2131 | 469,461 | Media Personality | Radio, TV, Voice Over |
| @eurofootcom | 428,194 | Sports Media | Football, Europe, Home |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,464
Followers With Bio
49,536
Followers Without Bio
50.46%
% With Bio
49.54%
% 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 3,247 analyzed238,873
Combined Engagement
17,603
Total Likes
221,270
Total Retweets
47,775
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @rogerfederer: ❤️ https://t.co/YxtVWrlXIF
RT @ManCity: Premier League Champions 21/22!!! 🏆💙 https://t.co/FzOuKblPZd
RT @EnockMwepu45: ❤️ https://t.co/8F2lTabjJg
Eto'o ❤️ Ronaldinho https://t.co/e4cSF0eMZe
RT @MagnusCarlsen: My statement regarding the last few weeks. https://t.co/KY34DbcjLo
Key Insights & Takeaways
His content often highlights high-profile athletes and their performances, which drives engagement. He frequently uses emojis and links to enhance the visual and interactive elements of his tweets. His focus on African sports and culture sets him apart in the journalism space.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 369,813
- + 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 @garyalsmith reveals an well-established Twitter presence with 369,813 followers. The account demonstrates a content-creator strategy, averaging 361.8 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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