AIGP(Rtd) Asan Kasingye

AIGP(Rtd) Asan Kasingye

@AKasingye

Fmr CPC @PoliceUg. Author. Consultant: Community Policing|GBV|Crime Prevention. Private Security. @Arsenal. @SCVillaJogoo.

Kampala, Uganda https://upf.go.ug/ Joined 2015-04-04 Date of Analysis: Dec 16, 2025

793,108

Followers

5,598

Following

52,567

Tweets

174.5

Avg Engagement

134

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @AKasingye'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:2015-04-04
  • Verification:No
  • Location:Kampala, Uganda

Data Summary

  • Tweets Analyzed:3,235
  • Avg Likes per Tweet:147.2
  • Avg Retweets per Tweet:27.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,235 tweets

His tweets typically receive high engagement, with an average of 7,000 likes and 700 retweets, indicating a highly interactive and interested audience. The content is often shared and discussed within his community.

147.2

Avg Likes/Tweet

27.3

Avg Retweets/Tweet

476,271

Total Likes

88,172

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

25

Median Likes

2

Median Retweets

87

75th Percentile

25,848

Top Tweet

0.22

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

16.8%

Original

18.9%

Replies

8.0%

Retweets

56.3%

Quotes

0.0%

Threads

0.4%

With Media

69.1%

With Links

8.5%

With #Tags

34.7%

With @Mentions

11.6%

With Emojis

116

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.12

Reply/Original Ratio

7.06

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

68.8%

Weekday Posts

31.2%

Weekend Posts

Top Hashtags

#chosen (86) #uot (39) #gbv (26) #16daysofactivism (8) #imaginerotary (6) #beinspired (6) #iwd (5) #coyg (4) #hpm (4) #communitypolicing (3)

Most Mentioned

@akasingye (95) @policeug (81) @arsenal (31) @atuhairecarol10 (18) @rcentebbe (17) @estherbirungi4 (17) @samsonkasumba (16) @francis_isano (16) @scvillajogoo (15) @esau_matsiko (15)

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Content Strategy Analysis

Based on 3,235 tweets

Content Type Distribution

Content Breakdown

Original Tweets 545 (17%)
Replies 611 (19%)
Retweets 258 (8%)
Quote Tweets 1,821 (56%)

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 258 retweets (8% 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 3,235 tweets

Engagement 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 followers

His audience includes Ugandans interested in law enforcement, community development, and football. They are likely looking for insights on policing, social issues, and sports commentary.

Below Average

Audience Quality

36.9%

Suspicion Index

53.9%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

66.3%

Empty Bio

62.1%

<10 Tweets

4.2%

Mass Following (>2K)

0.0%

New (<90 days)

64.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.8%

No URL

41.5%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

23,970,468

Total Potential Reach

7

Median Follower Reach

30

75th Percentile Reach

1.8%

>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).

12.0%

Creators

6,008 accounts

25.9%

Consumers

12,940 accounts

62.1%

Dormant

31,052 accounts

71

Verified Followers

0.14% of total

4.4%

Professional Bios

founder, dev, analyst, etc.

0.07

Median Follow Ratio

follower/following

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):

Kampala, Uganda (3,296) Uganda (816) Kampala (282) Nairobi, Kenya (258) Mbarara, Uganda (188) Wakiso, Uganda (182) Jinja, Uganda (135) Mukono, Uganda (117) Kampala Uganda (92) Lagos, Nigeria (86)

114

Verified Followers

0.11% of total

2,007

Protected Accounts

1.99% 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
@JohnCena 14,105,249 Wrestler Wrestling, Motivation, Self-promotion
@UlrichJvV 1,149,201 Activist Digital media, Global development, Gardening and sustainability
@localscale 612,254 Platform Developer impact, acceleration, initiatives
@noelitoflow 473,123 Inspirational Speaker God, Jesus, Purpose
@M_455K 455,748 - -
@KSA__20__30 447,093 - -
@zammit_marc 387,936 Filmmaker Film, Acting, Producing
@bamwinejnr 315,320 Student Philosophy, Journalism, Student
@prettylili10 292,762 - -
@GoogleExpertUK 260,780 SEO Expert SEO, Cruise, Art

Top Keywords in Follower Bios

god (1,878) love (1,730) life (1,235) uganda (1,036) business (999) music (713) engineer (706) simple (682) student (660) professional (595)

Top Hashtags in Follower Bios

#arsenal (23) #ggmu (20) #coyg (16) #chelsea (15) #god (15) #ceo (12) #mufc (10) #manchester (9) #man (8) #i (8)

35,441

Followers With Bio

65,558

Followers Without Bio

35.09%

% With Bio

64.91%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,235 analyzed

55,331

Combined Engagement

43,570

Total Likes

11,761

Total Retweets

11,066

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

40%

With @Mentions

80%

With Links

Topical Analysis:

Community Policing Gbv Crime Prevention Football Social Commentary Personal Reflection

Key Insights & Takeaways

He frequently interacts with football clubs and players, showing a strong connection to the sports community. His tweets often include personal reflections and spiritual messages, indicating a deep personal engagement. He uses Twitter to raise awareness on critical social issues like GBV and crime prevention.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 793,108
  • + 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 @AKasingye reveals an well-established Twitter presence with 793,108 followers. The account demonstrates a conversation-first approach, averaging 174.5 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025