Ousmane Dembélé
Believe.
1,766,535
Followers
167
Following
9,437
Tweets
1,262.5
Avg Engagement
1,571
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dembouz'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:2013-05-22
- Verification:Yes
- Location:Barcelone, Espagne
Data Summary
- Tweets Analyzed:2,954
- Avg Likes per Tweet:509.0
- Avg Retweets per Tweet:753.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,954 tweetsThe account consistently achieves high engagement rates, indicating a loyal and passionate following. The use of hashtags like #ForçaBarça and emojis enhances interaction and visibility.
509.0
Avg Likes/Tweet
753.5
Avg Retweets/Tweet
1,503,548
Total Likes
2,225,973
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
19
Median Retweets
210
75th Percentile
271,490
Top Tweet
0.71
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
12.3%
Original
12.6%
Replies
74.7%
Retweets
0.5%
Quotes
0.0%
Threads
0.8%
With Media
41.9%
With Links
32.0%
With #Tags
91.0%
With @Mentions
32.2%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.03
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.5%
Weekday Posts
35.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,954 tweetsContent Type Distribution
Content Breakdown
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 2,206 retweets (75% 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 2,954 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 followersThe audience is primarily composed of Barça fans and Catalans who resonate with the account's pro-Barça and pro-Catalunya messaging. The followers are likely active sports enthusiasts and supporters of Catalan culture.
Below Average
Audience Quality
41.5%
Suspicion Index
59.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.3%
Empty Bio
67.9%
<10 Tweets
1.7%
Mass Following (>2K)
0.0%
New (<90 days)
84.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.1%
No URL
51.7%
<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.
3,717,137
Total Potential Reach
2
Median Follower Reach
11
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.0%
>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).
12.9%
Creators
6,444 accounts
19.2%
Consumers
9,610 accounts
67.9%
Dormant
33,946 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):
7
Verified Followers
0.01% of total
9,940
Protected Accounts
9.94% of total
1 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 |
|---|---|---|---|
| @JordiAlba | 2,635,698 | Footballer | Football, Barcelona, Spain |
| @RonaldAraujo_4 | 822,497 | Footballer | Football, Barcelona, Uruguay |
| @SSscoop475 | 240,880 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @conquerer1 | 237,774 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @tabbalbassel | 180,195 | Correspondent | Sports, News, Correspondent |
| @untrucdefoot | 178,563 | Football Content Creator | Football, Anecdotes, Podcast |
| @AromaDeJesus | 156,435 | Religious Leader | Faith, Salvation, Worship |
| @MichelMoto1 | 92,293 | Communications | Communication, Negotiation, Geopolitics |
| @mpkaptan | 82,497 | Musician | Music, Fashion, Pinar |
| @itsjackhess | 80,131 | Musician | Music, Singer-Songwriter, Single |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34,939
Followers With Bio
65,061
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.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,954 analyzed767,482
Combined Engagement
389,002
Total Likes
378,480
Total Retweets
153,496
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Visca Barça, Visca Catalunya ! 🔵🔴🤙🏾
RT @ChapecoenseReal: Que essa seja a última imagem dos nosso guerreiros. #ForçaChape https://t.co/Q1ZxF5h4sV
Enorme victoria, vamosssss!!!!! 🔵🔴 #ForçaBarça! 💪🏿 https://t.co/6F0zENmG66
Disfrutando y ganando en el Camp Nou… seguimos culers!! 🔵🔴 #ForçaBarça https://t.co/9rA879Z1lL
RT @XabiAlonso: My hero. My mate. http://t.co/qFmO53EQvl
Key Insights & Takeaways
The account is heavily focused on promoting FC Barcelona and Catalan identity. The content is emotionally charged and uses celebratory language to engage followers. High engagement suggests a strong, dedicated fan base that values the account's message.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,766,535
- + 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 @dembouz reveals an exceptionally influential Twitter presence with 1,766,535 followers. The account demonstrates a conversation-first approach, averaging 1,262.5 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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