Iván Troyano
Cantante/compositor/productor/director booking: info@ivantroyano.com Pre save #NadaDeTi ⬇️
107,751
Followers
392
Following
27,128
Tweets
225.2
Avg Engagement
127
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IvanTroyano'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:2010-01-12
- Verification:No
- Location:Spain
Data Summary
- Tweets Analyzed:3,169
- Avg Likes per Tweet:22.0
- Avg Retweets per Tweet:203.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,169 tweetsHis tweets receive a moderate to high level of engagement, with an average of 492 likes and 55 retweets per tweet. The engagement is likely driven by his collaborations and music releases.
22.0
Avg Likes/Tweet
203.2
Avg Retweets/Tweet
69,713
Total Likes
643,789
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
4
Median Retweets
44
75th Percentile
150,199
Top Tweet
2.09
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
57.6%
Original
6.8%
Replies
35.6%
Retweets
0.1%
Quotes
0.0%
Threads
0.2%
With Media
85.5%
With Links
54.4%
With #Tags
63.5%
With @Mentions
43.2%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.0
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 3,169 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 1,127 retweets (36% 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 3,169 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 music enthusiasts and fans of collaborative projects, especially those interested in Latin pop and music production. The audience is likely active on social media and engaged with music content.
Below Average
Audience Quality
35.4%
Suspicion Index
45.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.7%
Empty Bio
69.9%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
65.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.5%
No URL
49.2%
<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.
1,064,222
Total Potential Reach
2
Median Follower Reach
6
75th Percentile Reach
0.5%
>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).
10.0%
Creators
996 accounts
20.1%
Consumers
2,012 accounts
69.9%
Dormant
6,992 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):
2
Verified Followers
0.02% of total
334
Protected Accounts
3.34% 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 |
|---|---|---|---|
| @Inspiras_ | 409,596 | Magazine Editor | Positividad, Lifestyle, Posible |
| @_AndyyLucas_ | 114,997 | Singer | Music, Awards, Concerts |
| @Raseloficial | 91,138 | Influencer | music, water, fun |
| @SitoCinema | 44,607 | - | - |
| @captain_mcu | 37,801 | - | - |
| @panchobarraza20 | 34,339 | - | - |
| @andresocanacope | 19,494 | - | - |
| @OfficialRommel | 14,031 | - | - |
| @felipesantosm | 10,099 | - | - |
| @fchamx | 8,563 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,833
Followers With Bio
4,167
Followers Without Bio
58.33%
% With Bio
41.67%
% 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 3,169 analyzed438,790
Combined Engagement
0
Total Likes
438,790
Total Retweets
87,758
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @XabiAlonso: Lived it. Loved it. Farewell beautiful game. https://t.co/1aSN7GGNzZ
RT @starwars: It's official. STAR WARS: THE LAST JEDI is the next chapter of the Skywalker saga. This December. #TheLastJedi https://t.co/ySkVwQcMTP https://t.co/eHrPgbsRJq
RT @MileyCyrus: ❤️💙❤️💙❤️💙 https://t.co/kuETRP7tb0
RT @guardiacivil: Nadie puede evitar que haya quien grabe imágenes macabras tras el atropello #Ramblas #Barcelona pero tú puedes ayudar a que no se viralicen https://t.co/Kz5z91DBkJ
RT @starwars: This is the day. New Episodes Streaming Oct. 30 on #DisneyPlus. #TheMandalorian https://t.co/ZlJua6SEP8
Key Insights & Takeaways
He heavily promotes his collaborations with other artists, which likely drives engagement and visibility. His content is focused on music releases and videos, indicating a strong emphasis on his creative output. He uses Twitter as a platform for both promotion and audience interaction, suggesting a strategic approach to his online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,751
- + 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 @IvanTroyano reveals an well-established Twitter presence with 107,751 followers. The account demonstrates a content-creator strategy, averaging 225.2 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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