Citi Sports
Official Account of #CitiSports. Follow for all sports news from @Citi973 FM.
87,015
Followers
98
Following
31,914
Tweets
120.6
Avg Engagement
89
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CitiSportsGHA'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:2016-04-30
- Verification:No
- Location:Accra, Ghana
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:89.7
- Avg Retweets per Tweet:30.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account shows consistent engagement with its followers, as evidenced by the average likes and retweets per tweet. However, the engagement rate appears to be relatively low compared to the follower count.
89.7
Avg Likes/Tweet
30.9
Avg Retweets/Tweet
291,674
Total Likes
100,312
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
56
Median Likes
7
Median Retweets
114
75th Percentile
24,595
Top Tweet
1.39
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
95.4%
Original
0.6%
Replies
3.8%
Retweets
0.3%
Quotes
0.0%
Threads
0.2%
With Media
98.2%
With Links
98.9%
With #Tags
9.1%
With @Mentions
13.7%
With Emojis
131
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
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 124 retweets (4% 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 10,000 followersThe primary audience includes sports enthusiasts, fans of Ghanaian teams, and individuals interested in sports analysis and news. The account also engages with sports personalities and public figures.
Average
Audience Quality
31.3%
Suspicion Index
38.4%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.8%
Empty Bio
40.4%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
66.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
23.0%
<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.
16,057,844
Total Potential Reach
26
Median Follower Reach
86
75th Percentile Reach
2.5%
>1K followers
0.2%
>10K followers
0.0%
>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).
27.1%
Creators
2,712 accounts
32.5%
Consumers
3,245 accounts
40.4%
Dormant
4,043 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):
8
Verified Followers
0.08% of total
441
Protected Accounts
4.41% 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 | 14,097,819 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ChrisWheatley | 299,317 | Sports Journalist | Football, Arsenal, Reporting |
| @MarkMwandosya | 86,581 | Politician | Politics, Education, Engineering |
| @francis_abban | 61,887 | Journalist | knowledge, humanity, statesmanship |
| @SMusherure | 37,091 | - | - |
| @SunitaHines | 31,352 | - | - |
| @jobvacanciesgh_ | 30,967 | - | - |
| @Konadu4Maxwell | 29,441 | - | - |
| @GreatOkanta | 21,898 | - | - |
| @SirAmankwaah | 19,748 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,624
Followers With Bio
5,376
Followers Without Bio
46.24%
% With Bio
53.76%
% 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 analyzed62,095
Combined Engagement
0
Total Likes
62,095
Total Retweets
12,419
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @ManCity: The winning moment! 🎉 https://t.co/QceofBIqoh
RT @PSV: PSV and @LFC have reached an agreement on the proposed transfer of Cody Gakpo. The 23-year-old attacker will leave for England imminently where he will be subjected to the necessary formalities ahead of the completion of the transfer.
RT @ChelseaFC: We're praying for you, Christian Atsu. 💙 https://t.co/KSG2YeGpP0 https://t.co/KNvQExSfid
RT @ManCity: Three-peat! 🙌 https://t.co/se4vQswnV7
RT @KudusMohammedGH: Inna Lillahi wa inna ilayhi raji'un. Rest Well Legend 🇬🇭 https://t.co/vvOy6SJhMm https://t.co/ldOXGYp4lK
Key Insights & Takeaways
The account frequently highlights Ghanaian sports teams and players, indicating a strong focus on local sports. Collaborations with well-known sports personalities help in increasing visibility and credibility. The use of hashtags and links to articles suggests an effort to drive traffic and encourage further interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 87,015
- + 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 @CitiSportsGHA reveals an well-established Twitter presence with 87,015 followers. The account demonstrates a content-creator strategy, averaging 120.6 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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