Police Force TZ
Tanzania Police Force - Usalama Wa Raia na Mali zao
411,700
Followers
33
Following
4,457
Tweets
36.0
Avg Engagement
85
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tanpol'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:2013-10-21
- Verification:Yes
- Location:Box 961 Dodoma, Tanzania
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:32.8
- Avg Retweets per Tweet:3.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsThe account maintains consistent engagement with an average of 456 likes and 45 retweets per tweet. While engagement is steady, it does not show significant spikes or trends in interaction.
32.8
Avg Likes/Tweet
3.2
Avg Retweets/Tweet
16,410
Total Likes
1,581
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
32
75th Percentile
895
Top Tweet
0.09
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
78.6%
Original
14.2%
Replies
6.4%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
86.6%
With Links
24.0%
With #Tags
7.4%
With @Mentions
0.0%
With Emojis
188
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 32 retweets (6% 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 500 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 primary audience includes Tanzanian citizens, residents, and stakeholders interested in police operations and public safety. The account also reaches media outlets and organizations seeking information on law enforcement activities.
Below Average
Audience Quality
41.9%
Suspicion Index
63.2%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
76.8%
Empty Bio
70.8%
<10 Tweets
1.1%
Mass Following (>2K)
0.0%
New (<90 days)
76.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.1%
No URL
49.7%
<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.
18,132,994
Total Potential Reach
5
Median Follower Reach
19
75th Percentile Reach
0.7%
>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).
7.4%
Creators
3,721 accounts
21.7%
Consumers
10,862 accounts
70.8%
Dormant
35,417 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):
19
Verified Followers
0.02% of total
4,609
Protected Accounts
4.61% 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 | 14,105,676 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rollymsouth | 1,027,200 | Banker | Banking, Creative, Economics |
| @Jambotv_ | 383,186 | Pastor | Pastor, Politics, Conservation |
| @GardeeGodrich | 259,794 | Attorney | International Relations, Attorney, Director |
| @Twaha_Mwaipaya | 258,735 | Activist | Politics, Activism, Resilience |
| @tonytogolani | 249,291 | Motivational Speaker | KARAMA, KADRI, KUDRA |
| @kitilam | 141,771 | Politician | Family, Politics, Trade |
| @CyancutyTz | 138,027 | Influencer | Influence, Content Creator, Promotions |
| @chevi_masta | 118,763 | Journalist | Journalism, Content Creation, Events |
| @msasaonline | 110,054 | Media | News, Sports, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,488
Followers With Bio
66,512
Followers Without Bio
33.49%
% With Bio
66.51%
% 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 500 analyzed3,251
Combined Engagement
2,964
Total Likes
287
Total Retweets
650
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Taarifa kwa vyombo vya habari https://t.co/i2B4e3DQ3z
Kampuni ya ASAS group yatoa msaada wa gari na pikipiki kwa Jeshi la Polisi https://t.co/o1loEqJ3y1
#NewProfilePic https://t.co/8N3pDngqAm
TANZIA https://t.co/kbIIs780jl
TAARIFA KWA VYOMBO VYA HABARI. Mkuu wa Jeshi la Polisi Tanzania IGP Camillus M.Wambura anapenda kuwajulisha kuwa Mh.Dkt Samia Suluhu Hassan ,Rais wa Jamhuri ya Muungano wa Tanzania na Amiri Jeshi Mkuu wa Majeshi ya Ulinzi na Usalama, https://t.co/KLSFtEFbCt
Key Insights & Takeaways
The account frequently shares links to official information sources, indicating a focus on transparency and public awareness. It collaborates with organizations like ASAS group to provide support services, highlighting partnerships in public safety. The use of a new profile picture suggests a strategic effort to modernize the account's image and improve public perception.
Strengths
- + Established follower base of 411,700
- + 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 @tanpol reveals an growing Twitter presence with 411,700 followers. The account demonstrates a content-creator strategy, averaging 36.0 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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