Hitz 103.9 FM
Official Twitter space for Hitz 103.9 FM — A radio channel consistently bent on bringing the audience pertinent information surrounding entertainment and more!
816,496
Followers
201
Following
271,518
Tweets
99.6
Avg Engagement
209
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Hitz1039FM'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:2011-02-03
- Verification:Yes
- Location:GA-099-3341
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:87.1
- Avg Retweets per Tweet:12.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account averages 2,965 likes and 324 retweets per tweet, showing moderate engagement. The content often includes links and hashtags, which may contribute to its reach and interaction.
87.1
Avg Likes/Tweet
12.5
Avg Retweets/Tweet
282,966
Total Likes
40,499
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
5
Median Retweets
73
75th Percentile
5,748
Top Tweet
0.12
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
78.4%
Original
7.3%
Replies
12.4%
Retweets
1.9%
Quotes
0.0%
Threads
0.4%
With Media
51.5%
With Links
88.7%
With #Tags
60.8%
With @Mentions
6.8%
With Emojis
143
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
91.2%
Weekday Posts
8.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 404 retweets (12% 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 3,249 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 entertainment news, music, and celebrity updates. They engage with content that includes both official announcements and personal stories from artists.
Below Average
Audience Quality
39.9%
Suspicion Index
56.4%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
69.6%
Empty Bio
65.9%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
75.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
43.2%
<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.
6,332,548
Total Potential Reach
7
Median Follower Reach
25
75th Percentile Reach
0.8%
>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).
9.4%
Creators
4,718 accounts
24.7%
Consumers
12,342 accounts
65.9%
Dormant
32,940 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):
57
Verified Followers
0.06% of total
2,282
Protected Accounts
2.26% 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 | 1,001,216 | - | - |
| @M_455K | 455,859 | - | - |
| @garyalsmith | 357,702 | Sports Journalist | Sports, Media, World Cup |
| @BenopaOnyx1 | 290,370 | - | - |
| @AnthoniaOrji | 258,741 | - | - |
| @SSscoop475 | 242,133 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @Aboa_Banku1 | 210,909 | - | - |
| @Fentuo_ | 176,823 | Sports Journalist | Football, Sports, Ghana |
| @Ugaman01 | 163,243 | Digital Strategist | Digital Strategy, Building Future, Music |
| @spiritandsoul1 | 153,396 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,441
Followers With Bio
63,558
Followers Without Bio
37.07%
% With Bio
62.93%
% 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 3,249 analyzed19,553
Combined Engagement
17,920
Total Likes
1,633
Total Retweets
3,911
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
I am no longer working with Flow Delly. The reason is quite sensitive so I don't really wanna go into that. But, he is a good guy. – Medikal #DaybreakHitz https://t.co/Z4odRLMq25
Update on Christian Atsu. 😔 https://t.co/yjNs4SnmSR
Stonebwoy’s wife is her husband’s biggest fan 🥰🥰🥰❤️ #Overlord https://t.co/YQWXIZyxM3
Sarkodie comes through for everyone! #PromiseLand https://t.co/4ojQ1FDAgw
Sarkodie breaks down the "me kyi nkosia wɔ ahomakye" line in 'Country Side' featuring Black Sherif 😂😂😂 #DaybreakHitz https://t.co/GzdHU51nXp
Key Insights & Takeaways
The account frequently shares updates about artists and their personal lives, which may help build a closer connection with the audience. Personalized content, such as mentions of artists' spouses or collaborations, can increase relatability and engagement. The account's focus on entertainment and relevant news positions it as a go-to source for fans of music and celebrities.
Strengths
- + Established follower base of 816,496
- + 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 @Hitz1039FM reveals an growing Twitter presence with 816,496 followers. The account demonstrates a content-creator strategy, averaging 99.6 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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