James Wokabi

James Wokabi

@JWokabi

Sports Junkie| FootballFix on @NationFmKE | SportOn on @ntvkenya | @SuperSportTV | views are my own

Nairobi, Kenya Joined 2009-07-14 Date of Analysis: Dec 16, 2025

11,270

Followers

996

Following

49,201

Tweets

265.9

Avg Engagement

15

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JWokabi'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:2009-07-14
  • Verification:No
  • Location:Nairobi, Kenya

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:5.3
  • Avg Retweets per Tweet:260.6
  • Followers Analyzed:10,380

Engagement Analysis

Based on 3,248 tweets

JWokabi's tweets are well-received, with a high average number of likes and retweets, indicating strong audience interaction. Their content is often shared and appreciated, especially when it highlights standout performances and key moments in sports.

5.3

Avg Likes/Tweet

260.6

Avg Retweets/Tweet

17,214

Total Likes

846,285

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

2

Median Retweets

4

75th Percentile

300,603

Top Tweet

23.59

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

7.1%

Original

26.3%

Replies

63.1%

Retweets

3.5%

Quotes

0.0%

Threads

0.0%

With Media

22.5%

With Links

27.7%

With #Tags

91.5%

With @Mentions

17.1%

With Emojis

141

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.72

Reply/Original Ratio

0.06

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

32.1%

Weekday Posts

67.9%

Weekend Posts

Top Hashtags

#footballfix (552) #sporton (243) #nfm (56) #fifaworldcup (17) #spoton (7) #mufc (5) #footballmix (4) #ucl (4) #footbalfix (3) #fooballfix (3)

Most Mentioned

@jwokabi (1846) @nationfmke (1362) @ted_jr17 (1059) @hildacheptoo (935) @elijah_ouko (721) @sammygitahi7 (368) @bernardndong (342) @kwalimwadavid (163) @ntvkenya (151) @sir_gee_254 (70)

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Content Strategy Analysis

Based on 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 230 (7%)
Replies 855 (26%)
Retweets 2,049 (63%)
Quote Tweets 114 (4%)

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 2,049 retweets (63% 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 3,248 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 10,380 followers

The audience primarily consists of sports fans interested in football and basketball, likely from Kenya and possibly other regions due to the international nature of the content. They are active and engaged, showing interest in both local and global sports figures.

Good

Audience Quality

19.1%

Suspicion Index

17.8%

Low-Quality %

187

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

28.6%

Empty Bio

13.4%

<10 Tweets

26.8%

Mass Following (>2K)

0.0%

New (<90 days)

29.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

82.8%

No URL

6.9%

<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.

54,917,130

Total Potential Reach

187

Median Follower Reach

607

75th Percentile Reach

16.3%

>1K followers

2.5%

>10K followers

1.0%

>50K followers

0.6%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

67.2%

Creators

6,976 accounts

19.4%

Consumers

2,018 accounts

13.4%

Dormant

1,386 accounts

113

Verified Followers

1.09% of total

13.2%

Professional Bios

founder, dev, analyst, etc.

0.19

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):

Nairobi, Kenya (1,784) Nairobi (729) Kenya (549) nairobi (128) Nairobi Kenya (109) kenya (108) Mombasa, Kenya (103) Nairobi,Kenya (92) Eldoret, Kenya (63) Nakuru, Kenya (61)

113

Verified Followers

1.09% of total

751

Protected Accounts

7.24% of total

8 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 14,106,693 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,381 - -
@SuperSportTV 3,181,056 Sports Broadcaster Sports, Champions, Updates
@KaizerChiefs 2,771,052 Football Club Football, Soccer, Marketing
@CapitalFMKenya 1,698,356 Media music, news, sports
@Kenyans 1,298,678 Media News, Kenya, Media
@CarolRadull 1,007,722 Sports Broadcaster Sports, CancerSoldier, COYG
@ItsMainaKageni 975,876 Radio Host Grace, Faith, MainaAndKingangi
@OtiAdjei 747,022 Media Executive Sports, Digital Media, News
@MarkMasai 630,948 Journalist Journalism, News, Media

Top Keywords in Follower Bios

sports (556) god (473) football (471) life (382) love (257) father (254) journalist (237) enthusiast (231) arsenal (230) united (220)

Top Hashtags in Follower Bios

#mufc (53) #ggmu (38) #coyg (27) #arsenal (19) #ynwa (15) #teamarsenal (13) #cfc (11) #manchesterunited (10) #halamadrid (9) #manutd (9)

7,410

Followers With Bio

2,970

Followers Without Bio

71.39%

% With Bio

28.61%

% 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 3,248 analyzed

615,805

Combined Engagement

0

Total Likes

615,805

Total Retweets

123,161

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Football Basketball Sports Analysis Player Highlights Media Affiliation

Key Insights & Takeaways

JWokabi frequently highlights top performers and iconic moments in football, showing a deep appreciation for the sport. They also emphasize the contributions of unsung heroes, which adds depth to their analysis and resonates with fans. Their content often includes references to major leagues and events, indicating a broad and informed audience interest.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 11,270
  • + 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 @JWokabi reveals an well-established Twitter presence with 11,270 followers. The account demonstrates a conversation-first approach, averaging 265.9 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