Sofía Reyes
“MILAMORES” ÁLBUM ya en sus manos!!! 🌸🥀
168,730
Followers
1,106
Following
16,145
Tweets
483.1
Avg Engagement
243
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sofiareyes'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:2012-10-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,162
- Avg Likes per Tweet:252.9
- Avg Retweets per Tweet:230.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,162 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in her content.
252.9
Avg Likes/Tweet
230.3
Avg Retweets/Tweet
799,520
Total Likes
728,200
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
94
Median Likes
32
Median Retweets
440
75th Percentile
145,696
Top Tweet
2.86
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
41.8%
Original
8.6%
Replies
39.6%
Retweets
10.0%
Quotes
0.0%
Threads
0.1%
With Media
45.3%
With Links
24.4%
With #Tags
54.9%
With @Mentions
49.2%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.7%
Weekday Posts
22.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,162 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 1,253 retweets (40% 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 3,162 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 followersHer followers are likely music enthusiasts and fans of her work, with a strong presence in Spanish-speaking regions.
Average
Audience Quality
29.4%
Suspicion Index
33.4%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.9%
Empty Bio
42.3%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
66.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
31.0%
<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.
107,398,888
Total Potential Reach
8
Median Follower Reach
72
75th Percentile Reach
3.7%
>1K followers
0.5%
>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).
39.4%
Creators
19,690 accounts
18.3%
Consumers
9,141 accounts
42.3%
Dormant
21,169 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):
217
Verified Followers
0.21% of total
12,303
Protected Accounts
12.18% 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 |
|---|---|---|---|
| @davidguetta | 19,896,078 | DJ | Music, Collaboration, Release |
| @Anitta | 19,266,991 | Singer | Music, Entertainment, Fashion |
| @MTV | 17,673,983 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,100,819 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Camila_Cabello | 13,043,179 | Singer | Music, Humanitarian, Fashion |
| @DUALIPA | 10,302,360 | Singer | Music, Future Nostalgia, Pop Star |
| @davidbisbal | 9,867,433 | Singer | Music, Singer, Performer |
| @Spotify | 9,578,259 | Music streaming | Music, Podcasts, Live audio |
| @KimberlyLoaiza_ | 8,575,082 | Influencer | Family, Music, Fashion |
| @JuanpaZurita | 8,007,875 | Influencer | Gratitud, humor, locuras |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,021
Followers With Bio
36,974
Followers Without Bio
63.39%
% With Bio
36.61%
% 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 3,162 analyzed348,122
Combined Engagement
0
Total Likes
348,122
Total Retweets
69,624
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @shakira: Today at the final of the World Cup, I only hope the players on the field and the whole world remembers that there’s a man and…
RT @BBMAs: The Official #BBMAs Red Carpet is LIVE and happening right now! https://t.co/cZEEnV0vkG
RT @sanbenito: : ( :
RT @sanbenito: me quejo de que estoy bien gordo pero no paro de comer
RT @karolg: Querer a alguien es cuidarlo de tu propia capacidad de lastimarlo ❤️🩹
Key Insights & Takeaways
She frequently shares personal and humorous content, which helps build a connection with her audience. Her engagement is driven by a mix of music promotion and personal anecdotes. Collaborations and special events, like album releases, significantly boost her visibility and interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 168,730
- + 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 @sofiareyes reveals an well-established Twitter presence with 168,730 followers. The account demonstrates a content-creator strategy, averaging 483.1 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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