Diego Capel
Ex Futbolista profesional e internacional español, twitter oficial!
93,181
Followers
1,108
Following
3,245
Tweets
133.8
Avg Engagement
308
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Diego11Capel'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:2012-05-16
- Verification:No
- Location:España
Data Summary
- Tweets Analyzed:3,002
- Avg Likes per Tweet:52.7
- Avg Retweets per Tweet:81.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,002 tweetsHis tweets receive a high average number of likes and retweets, indicating a loyal and engaged fan base.
52.7
Avg Likes/Tweet
81.2
Avg Retweets/Tweet
158,057
Total Likes
243,682
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
20
75th Percentile
71,026
Top Tweet
1.44
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
28.2%
Original
36.9%
Replies
31.0%
Retweets
3.9%
Quotes
0.0%
Threads
0.0%
With Media
21.2%
With Links
7.4%
With #Tags
83.3%
With @Mentions
14.0%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.31
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,002 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 931 retweets (31% 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 3,002 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 10,000 followersHis audience primarily consists of football fans and former teammates, showing interest in his career and personal life.
Average
Audience Quality
33.9%
Suspicion Index
45.6%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.8%
Empty Bio
45.6%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
68.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
35.4%
<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.
23,021,972
Total Potential Reach
12
Median Follower Reach
106
75th Percentile Reach
3.4%
>1K followers
0.6%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
36.7%
Creators
3,671 accounts
17.6%
Consumers
1,764 accounts
45.6%
Dormant
4,565 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):
14
Verified Followers
0.14% of total
605
Protected Accounts
6.05% of total
6 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 | 14,094,106 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Albert_Rivera | 1,194,405 | Politician | Politics, Freedom, Love |
| @clint_dempsey | 624,683 | Footballer | fishing, family, football |
| @Gol | 553,893 | Sports Journalist | Fútbol, Mundial, Ayuda |
| @Moreno | 430,854 | Influencer | Business, Manager, Serious |
| @OnlyVikingos | 399,556 | Football Fan | Football, Real Madrid, Passion |
| @PoeCasanova | 372,304 | Poet | Music, Poetry, Romance |
| @DAZN_ES | 371,064 | Streaming Sports | Deportes, Directo, Bajo demanda |
| @SevillaFC_ENG | 364,959 | Sports Team | Football, Sevilla, Passion |
| @SmoothArkano | 284,050 | Rapper | Music, Success, Scandal |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,423
Followers With Bio
5,577
Followers Without Bio
44.23%
% With Bio
55.77%
% 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 3,002 analyzed141,315
Combined Engagement
0
Total Likes
141,315
Total Retweets
28,263
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @andres_siesta: Puto cáncer… http://t.co/wIvfnzHP
RT @HdAnchiano: Este niño de seis años volvió al cole después de un tiempo hospitalizado por culpa de un cáncer, y así le ovacionaron todos. Se me ha metido algo al ojo. #FelizSábado https://t.co/lMACMpIIfr
RT @IkerCasillas: Mis condolencias por el accidente de avión en el que viajaba el @ChapecoenseReal. Momento duro para el fútbol! Mucho ánimo y fuerza! https://t.co/8mVTZaETu3
RT @guardiacivil: 🆘#MUYIMPORTANTE⚠️ Seguimos buscando a Gabriel, un #menor que ha #desaparecido en Las Hortichuelas, Níjar #Almería Si puedes colaborar llámanos ☎062 ☎112 Tu ayuda es muy importante https://t.co/4o90HFHaOq
RT @ristomejide: Tito no se retira. Sólo se concentra para el partido más importante de su vida. #ÀnimsTito
Key Insights & Takeaways
His content is highly emotional and nostalgic, focusing on personal connections and memories. He often shares tributes and celebrations related to football clubs and his career. His engagement suggests a deep connection with his followers, who value his authenticity and personal stories.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 93,181
- + 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 @Diego11Capel reveals an well-established Twitter presence with 93,181 followers. The account demonstrates a conversation-first approach, averaging 133.8 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.
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