Sol Música
Twitter oficial de Sol Música, el canal de la música española. Producido en España por @AMCNetworks_ES
99,342
Followers
922
Following
17,759
Tweets
21.7
Avg Engagement
531
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SolMusica'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:2009-05-05
- Verification:No
- Location:España
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:11.8
- Avg Retweets per Tweet:9.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,241 tweetsThe account maintains a steady level of engagement with its followers, often sharing event teasers and promotional material. It uses hashtags and links to drive interaction and traffic.
11.8
Avg Likes/Tweet
9.9
Avg Retweets/Tweet
38,362
Total Likes
32,074
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
7
75th Percentile
9,138
Top Tweet
0.22
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.9%
Original
11.5%
Replies
15.0%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
90.0%
With Links
55.4%
With #Tags
80.1%
With @Mentions
66.8%
With Emojis
166
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.7%
Weekday Posts
19.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 487 retweets (15% 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 3,241 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 followersThe audience is likely music enthusiasts in Spain and Spanish-speaking communities. The content appeals to fans of Spanish music and TV shows.
Average
Audience Quality
31.2%
Suspicion Index
36.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.8%
Empty Bio
53.6%
<10 Tweets
6.0%
Mass Following (>2K)
0.0%
New (<90 days)
65.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
40.3%
<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.
4,685,004
Total Potential Reach
5
Median Follower Reach
52
75th Percentile Reach
3.2%
>1K followers
0.4%
>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).
29.0%
Creators
2,900 accounts
17.4%
Consumers
1,739 accounts
53.6%
Dormant
5,361 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
0.07% of total
658
Protected Accounts
6.58% 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 |
|---|---|---|---|
| @laorejadevgogh | 676,587 | Musical Band | Music, Band, Official |
| @irisvarela | 381,331 | Abogada | Revolucionaria, Socialista, Anti Imperialista |
| @AlvaroBenitoV | 378,324 | Entrenador | Football, Music, Collaboration |
| @FormulaTV | 332,226 | Entertainment | Series, programas, televisión |
| @FacuDiazT | 250,734 | Comedian | politics, humor, activism |
| @TheRealLilEdd | 167,473 | Mix Engineer | Music, Mixing, Engineering |
| @DaniFdez | 167,332 | - | - |
| @rickymerino | 166,420 | Singer | - |
| @tanxugueiras | 79,126 | Musicians | Music, Galician culture, Folklore |
| @franju | 72,050 | Influencer | TV, Glass, MegaSn |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,816
Followers With Bio
3,184
Followers Without Bio
68.16%
% With Bio
31.84%
% 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 3,241 analyzed19,089
Combined Engagement
3,649
Total Likes
15,440
Total Retweets
3,818
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @_danielmartin_: Y que septiembre no nos quite la ilusión jamás.
RT @liamgallagher: Buenos Dias
¿Reconoces la canción que @natalialacunza nos cantará #ASolas el próximo 28 de marzo en #SolMúsica 🌧? https://t.co/gflsX9ZeRQ
¿Te perdiste el #ASolas de @natalialacunza 🌧? ¡Podrás volver a disfrutarlo en nuestro canal de TV el próximo sábado a las 13:00, y el próximo domingo a las 14:00 😍! https://t.co/8xk952A8b0
Nota mental: no ir a las "fiestas" (cuando se pueda) de @cepedaoficial 😉 #UnMinutoASolas 💥 https://t.co/p5ICj0gNox
Key Insights & Takeaways
The account focuses on promoting Spanish music and TV events, which suggests a strong emphasis on entertainment and cultural content. It uses event teasers and promotional material to keep followers engaged and informed. The use of hashtags and links indicates a strategy to drive traffic to both social media and TV content.
Strengths
- + Established follower base of 99,342
- + 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 @SolMusica reveals an growing Twitter presence with 99,342 followers. The account demonstrates a content-creator strategy, averaging 21.7 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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