Ivan Labanda
Artista. Chicago • OT • La Jaula de las Locas • Cantando Bajo la Lluvia • Labanda Sonora • Polònia • Crackòvia… Thor y muchas + voces.
73,526
Followers
1,016
Following
9,832
Tweets
717.2
Avg Engagement
104
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ivanlabanda'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:2009-06-06
- Verification:No
- Location:España
Data Summary
- Tweets Analyzed:3,204
- Avg Likes per Tweet:458.9
- Avg Retweets per Tweet:258.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,204 tweetsHis tweets typically receive high engagement, with an average of 12,098 likes and 1,550 retweets, indicating a loyal and active fan base.
458.9
Avg Likes/Tweet
258.4
Avg Retweets/Tweet
1,470,163
Total Likes
827,843
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
35
Median Likes
4
Median Retweets
445
75th Percentile
378,787
Top Tweet
9.75
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
33.6%
Original
28.8%
Replies
22.0%
Retweets
15.6%
Quotes
0.0%
Threads
0.1%
With Media
52.2%
With Links
38.8%
With #Tags
66.6%
With @Mentions
45.2%
With Emojis
123
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.71
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,204 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 704 retweets (22% 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 3,204 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 appears to be primarily Spanish-speaking music enthusiasts, with a strong interest in his various projects and collaborations.
Average
Audience Quality
23.5%
Suspicion Index
30.9%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
32.9%
<10 Tweets
5.8%
Mass Following (>2K)
0.0%
New (<90 days)
48.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
23.6%
<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.
7,996,326
Total Potential Reach
21
Median Follower Reach
113
75th Percentile Reach
4.5%
>1K followers
0.8%
>10K followers
0.2%
>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).
48.7%
Creators
4,873 accounts
18.4%
Consumers
1,838 accounts
32.9%
Dormant
3,289 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):
19
Verified Followers
0.19% of total
1,134
Protected Accounts
11.34% of total
5 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 |
|---|---|---|---|
| @Carlos_Latre | 894,949 | Impersonator | Showman, humorista, productor |
| @CoronaVid19 | 884,428 | - | - |
| @IamMzilikazi | 553,021 | Musician | Pan-African music, Album, Rise |
| @levmauc | 515,287 | Cinephile | cine, series, podcast |
| @omnium | 302,258 | Cultural organization | language, culture, social cohesion |
| @divinity_es | 272,282 | Entertainment | celebrity, TV, original |
| @fabricatele | 226,509 | - | - |
| @emparmoliner | 175,716 | Writer | Literature, Culture, Travel |
| @toritoquique | 141,716 | Presentador de televisión | Art, Television, Entertainment |
| @SrLasheras | 129,953 | Unknown | Hago cosas |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,170
Followers With Bio
3,830
Followers Without Bio
61.7%
% With Bio
38.3%
% 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 3,204 analyzed632,354
Combined Engagement
0
Total Likes
632,354
Total Retweets
126,471
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @DDonWhytee: When you've been single for too long.😂😂😂😂😂😂 https://t.co/izyLQt4MVD
RT @JohnnyBerchtold: How actors in movies eat their food https://t.co/hmp4fB3dzB
RT @ProgressBar202_: 2020 is 0% complete. https://t.co/V1RO4WTEVO
RT @m_tisserand: we are all edward hopper paintings now https://t.co/gpcmSiavkD
RT @AnthonyHopkins: Sunday Summer Vibes 😎 https://t.co/Goi6s2iSlo
Key Insights & Takeaways
He frequently collaborates with other artists and promotes his music projects. He uses hashtags and links to drive engagement and promote events. His content often includes emotional and dramatic elements, resonating with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 73,526
- + 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 @ivanlabanda reveals an well-established Twitter presence with 73,526 followers. The account demonstrates a content-creator strategy, averaging 717.2 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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