Manu Guix
Nou senzill ja disponible! #NoEnsCalResMés / Contractació: [email protected]
209,164
Followers
2,126
Following
16,313
Tweets
959.2
Avg Engagement
399
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ManuGuix'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:2010-08-04
- Verification:No
- Location:Barcelona
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:679.5
- Avg Retweets per Tweet:279.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,238 tweetsTheir tweets typically receive high engagement, with an average of 17k likes and 2.5k retweets. This suggests a highly interactive and passionate audience.
679.5
Avg Likes/Tweet
279.6
Avg Retweets/Tweet
2,200,286
Total Likes
905,491
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
4
Median Retweets
410
75th Percentile
99,516
Top Tweet
4.59
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
19.9%
Original
32.8%
Replies
26.6%
Retweets
20.6%
Quotes
0.0%
Threads
0.0%
With Media
37.6%
With Links
21.6%
With #Tags
67.7%
With @Mentions
32.6%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.65
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 862 retweets (27% 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 3,238 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 followersManuGuix's audience is primarily interested in entertainment, music, and social issues. They engage with content that is emotionally charged or controversial.
Average
Audience Quality
21.7%
Suspicion Index
31.5%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.2%
Empty Bio
31.0%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
43.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.4%
No URL
21.8%
<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.
21,240,657
Total Potential Reach
22
Median Follower Reach
118
75th Percentile Reach
2.2%
>1K followers
0.3%
>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).
49.3%
Creators
24,666 accounts
19.7%
Consumers
9,830 accounts
31.0%
Dormant
15,504 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):
46
Verified Followers
0.05% of total
12,486
Protected Accounts
12.36% of total
7 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 |
|---|---|---|---|
| @auronplay | 19,248,764 | YouTuber | Humor, Gaming, Content Creation |
| @NetflixES | 3,297,820 | Social Media Manager | TV shows, Bridgerton, España |
| @DaniMateoAgain | 1,418,808 | Titiritero | Titiritero, alehop, feria |
| @OwenJones84 | 1,026,374 | - | - |
| @Reportero24 | 945,342 | - | - |
| @CoronaVid19 | 890,016 | - | - |
| @AdaColau | 882,634 | Politician | politics, activism, Barcelona |
| @gastondalmauok | 845,887 | Actor | acting, modeling, management |
| @fuedicho | 798,230 | Writer | Frases, versos, refranes |
| @KRLS | 795,699 | Politician | Catalonia, Independence, Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,790
Followers With Bio
41,207
Followers Without Bio
59.2%
% With Bio
40.8%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,238 analyzed302,769
Combined Engagement
0
Total Likes
302,769
Total Retweets
60,554
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @LegendLesbian: LMFAO LMFAO LMFAO THIS IS REAL DAWG LMFAO LMFAO https://t.co/t2kmQe79OQ
RT @danieljpeter: Working from home when your children’s school gets cancelled. https://t.co/f6Ona75Qh6
RT @DannyBate4: Latin: aqua Spanish: agua Portuguese: água Italian: acqua Catalan: aigua Romanian: apă French: https://t.co/oUwx4eTRxx
RT @figueroba8: Le pongo un 10, ¿no? https://t.co/g8ssY3JeRu
RT @canijode: - ¿Hay algún doctor? - Yo. - ¿Cuál es su especialidad? - Doctor en Matemáticas. - Muy bien doctor, mi amigo se muere. - Uno…
Key Insights & Takeaways
They often comment on music and entertainment events, showing a deep interest in pop culture. Their tweets include strong emotional language, indicating a tendency to express personal opinions passionately. They engage with both positive and negative topics, suggesting a diverse range of interests and viewpoints.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 209,164
- + 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 @ManuGuix reveals an well-established Twitter presence with 209,164 followers. The account demonstrates a conversation-first approach, averaging 959.2 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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