#TV3GH
First In News, Best in Entertainment 📧: [email protected]
2,193,458
Followers
490
Following
209,342
Tweets
334.8
Avg Engagement
528
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tv3_ghana'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: Mega Influencer (1M+)
- Account Age:2014-05-28
- Verification:No
- Location:Kanda
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:301.8
- Avg Retweets per Tweet:33.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account consistently receives a high number of likes and retweets, reflecting strong audience interaction. The engagement is driven by trending topics and celebrity-related content.
301.8
Avg Likes/Tweet
33.0
Avg Retweets/Tweet
980,160
Total Likes
107,194
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
64
Median Likes
7
Median Retweets
207
75th Percentile
31,492
Top Tweet
0.15
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
76.2%
Original
3.7%
Replies
18.8%
Retweets
1.4%
Quotes
0.0%
Threads
0.4%
With Media
74.2%
With Links
90.0%
With #Tags
39.6%
With @Mentions
28.0%
With Emojis
131
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.9%
Weekday Posts
32.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 611 retweets (19% 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 3,248 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 is primarily interested in Ghanaian news, entertainment, and celebrity culture. They engage with content that highlights local figures and events, showing a strong national focus.
Below Average
Audience Quality
44.4%
Suspicion Index
71.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
77.6%
Empty Bio
79.8%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
75.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.3%
No URL
64.4%
<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.
5,236,602
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
0.9%
>1K followers
0.1%
>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).
7.1%
Creators
3,563 accounts
13.1%
Consumers
6,538 accounts
79.8%
Dormant
39,899 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):
91
Verified Followers
0.09% of total
6,379
Protected Accounts
6.32% of total
1 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 |
|---|---|---|---|
| @LeBronJames | 1,005,405 | - | - |
| @noelitoflow | 472,890 | Inspirational Speaker | God, Jesus, Purpose |
| @M_455K | 455,804 | - | - |
| @Opresii | 422,574 | Influencer | Create, Inspire, Lighten up |
| @ZimEye | 417,325 | Journalist | Zimbabwe, Africa, Journalism |
| @AbdulMahmud01 | 359,217 | Lawyer | Author, Lawyer, Activist |
| @EvanKirstel | 343,701 | Tech Influencer | Tech, B2B, Social media |
| @drissawaked | 266,243 | Physician | Health education, Coronavirus, Medical specialist |
| @Senba_Kaientai | 225,811 | Financial Analyst | Finance, Organization, Taxation |
| @TipsterDaebreak | 146,005 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
23,244
Followers With Bio
77,755
Followers Without Bio
23.01%
% With Bio
76.99%
% 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 3,248 analyzed74,936
Combined Engagement
40,751
Total Likes
34,185
Total Retweets
14,987
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @FabrizioRomano: 🚨 Exclusive news confirmed: Thomas Tuchel becomes new FC Bayern head coach, full agreement in place. He has already acc…
Yaw Dabo 🇬🇭 X Jude Bellingham🏴 😍 #TV3GH #3Sports https://t.co/wfqlXIPrEj
Akwaabaa.... From the entire Media General family, we welcome the beautiful and amazing Nana Ama McBrown to the Onua family. You are welcome home Nana Ama #OnuaMaakye #OnuaTV #TV3GH #TV3NewDay https://t.co/BTSMyWnA8m
King @sarkodie x @Ludacris 🇬🇭🇺🇸 cooking 🔥 #TV3GH https://t.co/lQUMMmShbi
Kwaku the traveller 🇬🇭 #TV3GH @blacksherif_ https://t.co/BzqAVnkomI
Key Insights & Takeaways
The account leverages celebrity endorsements and collaborations to boost engagement. It focuses on local news and entertainment, which resonates well with its audience. The use of hashtags and links to external content helps in driving traffic and increasing visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,193,458
- + 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 @tv3_ghana reveals an well-established Twitter presence with 2,193,458 followers. The account demonstrates a content-creator strategy, averaging 334.8 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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