Demba Ba
Y a-t-il d'autre récompense pour le bien, que le bien? [55:60]
1,328,464
Followers
246
Following
5,179
Tweets
2,455.6
Avg Engagement
2,297
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dembabafoot'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:2009-08-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:925.4
- Avg Retweets per Tweet:1,530.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,198 tweetsTheir tweets consistently receive high engagement, with an average of 40,683 likes and 9,569 retweets per post. They are particularly popular for their Chelsea FC-related content.
925.4
Avg Likes/Tweet
1,530.2
Avg Retweets/Tweet
2,959,452
Total Likes
4,893,653
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
57
Median Retweets
1,087
75th Percentile
271,585
Top Tweet
1.85
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
21.4%
Original
17.3%
Replies
49.5%
Retweets
11.8%
Quotes
0.0%
Threads
0.6%
With Media
49.1%
With Links
24.0%
With #Tags
71.1%
With @Mentions
41.6%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.81
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 1,584 retweets (50% 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 3,198 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 followersTheir audience is primarily football enthusiasts and followers of philosophical and spiritual content. They also attract attention from sports analysts and fans of Chelsea FC.
Average
Audience Quality
29.3%
Suspicion Index
33.1%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.3%
Empty Bio
39.1%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
24.9%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
41,227,564
Total Potential Reach
24
Median Follower Reach
108
75th Percentile Reach
3.8%
>1K followers
0.3%
>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).
35.8%
Creators
17,911 accounts
25.1%
Consumers
12,538 accounts
39.1%
Dormant
19,551 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):
285
Verified Followers
0.28% of total
9,192
Protected Accounts
9.1% of total
4 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 |
|---|---|---|---|
| @FabrizioRomano | 14,436,406 | Journalist | Football, Transfers, News |
| @JohnCena | 14,105,306 | Wrestler | Wrestling, Motivation, Self-promotion |
| @midoahm | 5,543,184 | Entrepreneur | Dogs, Father, Founder |
| @JackWilshere | 3,668,995 | Footballer | Football, Family, Instagram |
| @beinsports_FR | 3,568,476 | Sports broadcaster | Sports, Spectacles, Abonnement |
| @Benayadachraf | 3,481,350 | Unknown | Technology, Innovation, Entrepreneurship |
| @RMCsport | 2,338,387 | Sports News | football, rugby, F1 |
| @David_Ornstein | 1,883,399 | Football Correspondent | - |
| @francefootball | 1,752,941 | - | - |
| @Squawka | 1,233,691 | Football Analysis | football, stats, analysis |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,974
Followers With Bio
39,025
Followers Without Bio
61.36%
% With Bio
38.64%
% 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 3,198 analyzed902,558
Combined Engagement
217,298
Total Likes
685,260
Total Retweets
180,512
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
Score https://t.co/nJsPR4MBYo
RT @MsKelebogile: Professor Mashudu Tshifularo. Say his name!
RT @ibfk2014: ✊🏻✊🏿 NO TO RACISM | #Respect https://t.co/Ic1BzfANoi
RT @TheAmandaGorman: It takes a monster to kill children. But to watch monsters kill children again and again and do nothing isn’t just ins…
RT @davidperrotin: Michel, un producteur de musique, a été tabassé par trois policiers samedi dernier à Paris. Ils l’ont ensuite accusé à t…
Key Insights & Takeaways
They often mix football with philosophical and spiritual themes, which sets them apart from typical sports accounts. Their content is highly engaging, suggesting a strong connection with their audience. They frequently reference religious texts, indicating a deeper personal or ideological motivation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,328,464
- + 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 @dembabafoot reveals an exceptionally influential Twitter presence with 1,328,464 followers. The account demonstrates a content-creator strategy, averaging 2,455.6 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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