Youssouf Mulumbu

Youssouf Mulumbu

@mulumbuofficial

Official Twitter of Youssouf Mulumbu, Professionnal Football Player

United Kingdom https://t.co/RJ3SvH8YpT Joined 2009-09-24 Date of Analysis: Dec 16, 2025

114,631

Followers

346

Following

1,522

Tweets

234.6

Avg Engagement

379

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @mulumbuofficial'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:2009-09-24
  • Verification:No
  • Location:United Kingdom

Data Summary

  • Tweets Analyzed:1,490
  • Avg Likes per Tweet:76.6
  • Avg Retweets per Tweet:158.0
  • Followers Analyzed:10,000

Engagement Analysis

Based on 1,490 tweets

His tweets receive a high number of likes and retweets, showing strong engagement from his followers. The content is relatable and emotionally charged, which contributes to the high interaction rates.

76.6

Avg Likes/Tweet

158.0

Avg Retweets/Tweet

114,089

Total Likes

235,411

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

7

Median Retweets

68

75th Percentile

49,596

Top Tweet

2.05

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

46.8%

Original

22.3%

Replies

25.7%

Retweets

5.2%

Quotes

0.0%

Threads

0.4%

With Media

50.9%

With Links

31.3%

With #Tags

59.3%

With @Mentions

29.5%

With Emojis

123

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.48

Reply/Original Ratio

0.2

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

68.1%

Weekday Posts

31.9%

Weekend Posts

Top Hashtags

#rdc (33) #243 (30) #wba (29) #sportencommun (16) #lumpas (14) #sportimpact (13) #leopards (13) #team243 (12) #cheminots (10) #kinshasa (10)

Most Mentioned

@mulumbuofficial (212) @wba (35) @sportencommun (32) @officialkillie (32) @fcsteloilupopo (27) @lateam243 (27) @fondationdnt (26) @kilmarnockfc (25) @anthony_pla (25) @gabs50zakuani (25)

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 1,490 tweets

Content Type Distribution

Content Breakdown

Original Tweets 697 (47%)
Replies 332 (22%)
Retweets 383 (26%)
Quote Tweets 78 (5%)

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 383 retweets (26% 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 1,490 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 10,000 followers

The audience primarily consists of football fans, especially supporters of Celtic FC, and other sports enthusiasts interested in his career. His followers are likely to be passionate about football and follow his updates closely.

Average

Audience Quality

30.2%

Suspicion Index

33.6%

Low-Quality %

14

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

33.7%

Empty Bio

51.4%

<10 Tweets

7.7%

Mass Following (>2K)

0.0%

New (<90 days)

59.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.8%

No URL

33.5%

<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.

Try Bot Detector

Follower Reach & Influence

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

18,228,515

Total Potential Reach

14

Median Follower Reach

83

75th Percentile Reach

4.6%

>1K followers

0.5%

>10K followers

0.1%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

23.5%

Creators

2,349 accounts

25.1%

Consumers

2,515 accounts

51.4%

Dormant

5,136 accounts

24

Verified Followers

0.24% of total

8.7%

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):

République Démocratique Du Con (907) Kinshasa (173) Democratic Republic of Congo (86) Lubumbashi (52) RDC (24) West Midlands, England (20) Paris, France (18) Brazzaville, Congo (18) kinshasa (15) England, United Kingdom (13)

24

Verified Followers

0.24% of total

496

Protected Accounts

4.96% 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 14,093,707 Wrestler Wrestling, Motivation, Self-promotion
@leParrainRDC 342,731 Consultant consulting, memory creation, creativity
@FootballSenegal 231,614 Sports Media Football, Senegal, Connecting
@LitsaniChoukran 224,750 Entrepreneur Technology, Entrepreneurship, Film Making
@CybelleKamba 194,755 Entrepreneur social EntrepreneurSociale, Financiere, Tourisme_Passion
@abelamundala 124,767 Political Advisor Sports, Youth, Politics
@serge_nkonde 71,318 Politician Sports, Politics, Leadership
@lephoenix84 67,398 - -
@BetonDeLaRep_Cd 55,113 - -
@CherifSadio 54,678 Director Literature, Lusophone Civilizations, Baye Niass

Top Keywords in Follower Bios

politique (348) entrepreneur (287) ingenieur (268) dieu (265) congolais (242) etudiant (200) congo (193) homme (188) vie (183) kinshasa (178)

Top Hashtags in Follower Bios

#rwandaiskilling (13) #rdc (9) #e (9) #wba (7) #entrepreneur (4) #journaliste (4) #jeuneentrepreneur (3) #teampsg (3) #sports (3) #politique (3)

6,631

Followers With Bio

3,369

Followers Without Bio

66.31%

% With Bio

33.69%

% 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 1,490 analyzed

150,379

Combined Engagement

0

Total Likes

150,379

Total Retweets

30,076

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Football Gratitude Team Spirit Personal Journey Fan Interaction Professional Challenges

Key Insights & Takeaways

He frequently expresses gratitude and emotional connection to his fans and club, which strengthens his bond with the audience. His tweets often include hashtags and mentions of specific teams, indicating a focus on team spirit and fan interaction. He shares both personal achievements and moments of disappointment, providing a balanced view of his professional journey.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 114,631
  • + 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 @mulumbuofficial reveals an well-established Twitter presence with 114,631 followers. The account demonstrates a content-creator strategy, averaging 234.6 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.

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