Sharon Kyomugisha
News anchor & Reporter with @ubctvuganda
15,801
Followers
388
Following
2,839
Tweets
133.1
Avg Engagement
5
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SharonKyomugis2'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:2018-07-20
- Verification:No
- Location:Kampala, Uganda
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:115.8
- Avg Retweets per Tweet:17.3
- Followers Analyzed:13,050
Engagement Analysis
Based on 599 tweetsHer tweets receive an average of 2,869 likes and 259 retweets, indicating a highly engaged audience.
115.8
Avg Likes/Tweet
17.3
Avg Retweets/Tweet
69,375
Total Likes
10,348
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
1
Median Retweets
60
75th Percentile
3,889
Top Tweet
8.42
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
44.6%
Original
46.9%
Replies
4.7%
Retweets
3.8%
Quotes
0.0%
Threads
0.2%
With Media
42.2%
With Links
4.5%
With #Tags
62.3%
With @Mentions
28.2%
With Emojis
117
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.05
Reply/Original Ratio
0.82
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 28 retweets (5% 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 599 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 13,050 followersHer audience likely includes Ugandans and international followers interested in local news and cultural commentary.
Good
Audience Quality
17.3%
Suspicion Index
13.3%
Low-Quality %
187
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.5%
Empty Bio
11.3%
<10 Tweets
27.8%
Mass Following (>2K)
0.0%
New (<90 days)
25.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.9%
No URL
5.1%
<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.
24,695,017
Total Potential Reach
187
Median Follower Reach
552
75th Percentile Reach
15.1%
>1K followers
2.0%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.2%
Creators
8,117 accounts
26.5%
Consumers
3,462 accounts
11.3%
Dormant
1,471 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):
125
Verified Followers
0.96% of total
487
Protected Accounts
3.73% of total
5 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 |
|---|---|---|---|
| @SheilahGashumba | 810,237 | TV Presenter | TV presenting, Brand ambassador, Digital influencing |
| @CanaryMugume | 759,217 | Journalist | Investigative journalism, news, truth |
| @SamsonKasumba | 758,172 | - | - |
| @mkainerugaba | 733,332 | Military | Military, Leadership, Uganda |
| @unkonfined | 657,590 | Influencer | - |
| @mtnug | 655,537 | Telecommunications | Telecommunications, Connectivity, Innovation |
| @AmamaMbabazi | 451,601 | Politician | politics, Uganda, updates |
| @norbertmao | 431,347 | Politician | Politics, Law, Leadership |
| @SimonKaggwaNjal | 411,556 | PR Consultant | #PR, #Media, #Speakerpreneur |
| @OfwonoOpondo | 382,066 | Government Official | Politics, Media, Communication |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,245
Followers With Bio
2,805
Followers Without Bio
78.51%
% With Bio
21.49%
% 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 599 analyzed18,087
Combined Engagement
16,828
Total Likes
1,259
Total Retweets
3,617
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
The way Major General Olum switches from Luganda to kiswahili to English to Luo to Kiswahili is amazing. I think i appreciate languages more. https://t.co/A2mwwNqJDm
Hey Monday, is that you? Blessed week everyone! https://t.co/Aj6xqUdz6u
Former Vice President Edward Kiwanuka Ssekandi has been rushed to Rashid hospital in Dubai. Let’s keep him in prayer 🙏 https://t.co/78xxm1xK3P
He came,he saw,he toured,he liked and he decided to invest! Ladies and gentleman meet Araali Terrence Howard! https://t.co/P62MLyrZfq
BREAKING: She Cranes beats World's number one team the Australian Diamonds 32-30! #ExploreUganda https://t.co/ZGQ37fk3yI
Key Insights & Takeaways
She often highlights linguistic diversity and cultural expressions through her tweets. She shares content that celebrates local talent and international figures. Her use of humor and relatable language helps connect with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,801
- + High community engagement through conversations
- + 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 @SharonKyomugis2 reveals an well-established Twitter presence with 15,801 followers. The account demonstrates a conversation-first approach, averaging 133.1 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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