Floyd Shivambu

Floyd Shivambu

@FloydShivambu

Activist. Believes in Dialectical Materialism & Labour Theory of Value. Heterodox. Provocative. EFF Deputy President. Blessed. MP. Todo por la revolución!

World Citizen, based in SA https://linktr.ee/FloydShivambu Joined 2010-07-05 Date of Analysis: Dec 16, 2025

1,439,959

Followers

7,036

Following

14,819

Tweets

834.8

Avg Engagement

552

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @FloydShivambu'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: Mega Influencer (1M+)
  • Account Age:2010-07-05
  • Verification:No
  • Location:World Citizen, based in SA

Data Summary

  • Tweets Analyzed:3,243
  • Avg Likes per Tweet:414.4
  • Avg Retweets per Tweet:420.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,243 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests a dedicated and politically active following.

414.4

Avg Likes/Tweet

420.4

Avg Retweets/Tweet

1,343,858

Total Likes

1,363,279

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

77

Median Likes

139

Median Retweets

879

75th Percentile

35,513

Top Tweet

0.58

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

26.9%

Original

5.0%

Replies

45.7%

Retweets

22.4%

Quotes

0.0%

Threads

0.1%

With Media

58.8%

With Links

13.3%

With #Tags

63.1%

With @Mentions

11.1%

With Emojis

156

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.19

Reply/Original Ratio

0.49

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

76.0%

Weekday Posts

24.0%

Weekend Posts

Top Hashtags

#nationalshutdown (46) #voteeff (42) #landandjobsmanje (26) #effturns8 (15) #effpresser (13) #ramaphosamustgo (12) #effturns10 (11) #registertovoteeff (8) #eff1millionmembershipcampaign (8) #effredfriday (7)

Most Mentioned

@effsouthafrica (826) @julius_s_malema (232) @floydshivambu (52) @nkrumahquotes (41) @cyrilramaphosa (38) @eff_limpopo (33) @kaizerchiefs (32) @dlaminimarshall (27) @effstudents (27) @theintlmagz (26)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,243 tweets

Content Type Distribution

Content Breakdown

Original Tweets 873 (27%)
Replies 162 (5%)
Retweets 1,483 (46%)
Quote Tweets 725 (22%)

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 1,483 retweets (46% 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 3,243 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 primarily consists of supporters of the EFF and individuals interested in leftist politics. The content appeals to those engaged in social and economic activism.

Below Average

Audience Quality

38.7%

Suspicion Index

61.6%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

69.6%

Empty Bio

68.0%

<10 Tweets

3.8%

Mass Following (>2K)

0.0%

New (<90 days)

64.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

96.9%

No URL

53.6%

<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 Detector

Follower Reach & Influence

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

17,799,900

Total Potential Reach

7

Median Follower Reach

33

75th Percentile Reach

1.8%

>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).

13.5%

Creators

6,766 accounts

18.5%

Consumers

9,245 accounts

68.0%

Dormant

33,989 accounts

66

Verified Followers

0.13% of total

2.7%

Professional Bios

founder, dev, analyst, etc.

0.06

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):

Johannesburg, South Africa (1,016) South Africa (787) Pretoria, South Africa (787) Durban, South Africa (396) Cape Town, South Africa (362) Polokwane, South Africa (151) Soweto, South Africa (141) Nairobi, Kenya (131) Midrand, South Africa (120) Johannesburg (109)

112

Verified Followers

0.11% of total

2,835

Protected Accounts

2.83% 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
@JohnCena 14,105,098 Wrestler Wrestling, Motivation, Self-promotion
@RailaOdinga 4,266,750 Politician Politics, Infrastructure, Africa
@MigunaMiguna 2,391,533 Lawyer Integrity, Fearlessness, Revolution
@GuilhermeBoulos 2,226,658 Activist Social Justice, Housing Rights, Activism
@johndumelo 2,003,138 Actor actor, entrepreneur, philanthropist
@RobertAlai 1,852,382 Politician Tech, Politics, Auditing
@fadlizon 1,830,598 Politician Politics, YouTube, Library
@HUAWEI_TECH4ALL 1,319,652 Technology Technology, Inclusion, Connectivity
@MattWallace888 953,321 YouTuber Crypto, Dogecoin, YouTube
@mkainerugaba 735,591 Military Military, Leadership, Uganda

Top Keywords in Follower Bios

god (1,778) love (1,665) life (1,660) person (830) music (637) business (598) humble (592) fun (566) guy (493) loving (490)

Top Hashtags in Follower Bios

#1 (12) #love (11) #god (10) #mufc (9) #freepalestine (8) #putsouthafricansfirst (8) #the (7) #bitcoin (7) #blacklivesmatter (7) #crypto (6)

34,940

Followers With Bio

65,060

Followers Without Bio

34.94%

% With Bio

65.06%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,243 analyzed

151,369

Combined Engagement

0

Total Likes

151,369

Total Retweets

30,274

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Political Activism Marxism Social Justice Economic Inequality Protest Movements

Key Insights & Takeaways

He frequently shares content related to social justice and political activism His tweets often include links to articles and campaigns He uses his platform to promote the EFF and its policies

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,439,959
  • + 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 @FloydShivambu reveals an well-established Twitter presence with 1,439,959 followers. The account demonstrates a content-creator strategy, averaging 834.8 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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