Faustine Ndugulile

Faustine Ndugulile

@DocFaustine

Member of Parliament, Tanzania| Doctor| Fmr Minister-ICT| Fmr Deputy Minister-Health| Passionate about Sports, ICT & Global Health

Tanzania https://drfaustine.wordpress.com/ Joined 2009-03-15 Date of Analysis: Dic 16, 2025

333 920

Followers

1 141

Following

12 155

Tweets

445,6

Avg Engagement

104

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DocFaustine'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:2009-03-15
  • Verification:No
  • Location:Tanzania

Data Summary

  • Tweets Analyzed:3 149
  • Avg Likes per Tweet:50,1
  • Avg Retweets per Tweet:395,5
  • Followers Analyzed:50 000

Engagement Analysis

Based on 3 149 tweets

Her tweets receive a high number of likes and retweets, indicating strong audience interaction. She frequently acknowledges institutions and individuals, which boosts engagement.

50,1

Avg Likes/Tweet

395,5

Avg Retweets/Tweet

157 796

Total Likes

1 245 348

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

4

Median Retweets

39

75th Percentile

677 703

Top Tweet

1,33

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

37,8%

Original

3,9%

Replies

44,2%

Retweets

14,1%

Quotes

0,0%

Threads

0,8%

With Media

46,9%

With Links

22,3%

With #Tags

56,2%

With @Mentions

1,6%

With Emojis

150

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0,1

Reply/Original Ratio

0,32

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

72,7%

Weekday Posts

27,3%

Weekend Posts

Top Hashtags

#ndugulile (80) #kigambonimpya (72) #awamuyatano (25) #kigamboni (23) #tanzania (22) #tanzaniampya (21) #dodoma (20) #tunaboreshaafya (19) #tunatekeleza (16) #kazizaidimaendeleozaidi (15)

Most Mentioned

@docfaustine (516) @maendeleoyajami (142) @hakingowi (74) @voiceofbongo (61) @umwalimu (61) @kigamboniyetu (53) @darmpya_ (43) @wizara_afyatz (34) @ict_commission (29) @mbarawam (27)

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Content Strategy Analysis

Based on 3 149 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1 189 (38%)
Replies 123 (4%)
Retweets 1 393 (44%)
Quote Tweets 444 (14%)

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 1 393 retweets (44% 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 3 149 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

Her audience includes Tanzanian citizens, professionals in ICT and health, and political followers. They are likely interested in policy, public service, and development.

Below Average

Audience Quality

35,6%

Suspicion Index

46,0%

Low-Quality %

9

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52,0%

Empty Bio

61,3%

<10 Tweets

2,9%

Mass Following (>2K)

0,0%

New (<90 days)

69,5%

Low Ratio (<0.1)

0,0%

New (<180 days)

97,5%

No URL

40,1%

<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.

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Follower Reach & Influence

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

10 514 480

Total Potential Reach

9

Median Follower Reach

41

75th Percentile Reach

1,6%

>1K followers

0,2%

>10K followers

0,1%

>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).

12,6%

Creators

6 306 accounts

26,1%

Consumers

13 047 accounts

61,3%

Dormant

30 647 accounts

37

Verified Followers

0,07% of total

3,1%

Professional Bios

founder, dev, analyst, etc.

0,05

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):

Dar es Salaam, Tanzania (2 916) Tanzania (1 469) Mwanza, Tanzania (458) Arusha, Tanzania (386) Dodoma, Tanzania (309) Mbeya, Tanzania (270) Morogoro, Tanzania (177) Pwani, Tanzania (128) Kilimanjaro, Tanzania (91) Iringa, Tanzania (82)

82

Verified Followers

0.08% of total

3 539

Protected Accounts

3.5% of total

2 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
@CloudsMediaLive 1 385 429 Media Company Media, East Africa, Central Africa
@fatma_karume 1 054 635 Lawyer Justice, Activism, Empowerment
@rollymsouth 1 033 761 Banker Banking, Creative, Economics
@Salym 889 892 Presenter Travel, Broadcasting, Multilingual
@alykhansatchu 589 412 Banker Banker, Interest rate, Africa
@privaldinho 578 615 Digital Manager Author, Lawyer, Sports
@freemanmbowetz 578 410 Politician Politics, Leadership, Parliament
@LindiMazibuko 495 539 Politician Feminism, Leadership, Optimism
@JNtuyabaliwe 433 070 Designer Luxury Furniture, Interior Design, Wildlife Conservation
@chapo255 343 463 Media Influencer Music, Media, Bongo Fleva

Top Keywords in Follower Bios

god (2 699) life (1 540) love (1 487) wa (1 093) football (1 088) mungu (1 017) tanzania (1 010) business (893) music (702) teacher (665)

Top Hashtags in Follower Bios

#simba (34) #tanzania (22) #god (20) #arsenal (16) #simbasc (15) #chelsea (13) #yanga (13) #teacher (12) #a (12) #music (12)

54 680

Followers With Bio

46 318

Followers Without Bio

54.14%

% With Bio

45.86%

% 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 3 149 analyzed

1 023 126

Combined Engagement

0

Total Likes

1 023 126

Total Retweets

204 625

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Politics Ict Global Health Public Service Gratitude Education

Key Insights & Takeaways

She emphasizes gratitude towards key political figures and institutions Her content often reflects her professional background and public service role She uses Twitter to highlight achievements and express appreciation

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 333 920
  • + 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 @DocFaustine reveals an well-established Twitter presence with 333 920 followers. The account demonstrates a content-creator strategy, averaging 445,6 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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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: Dic 16, 2025