Sofía Gómez Uribe
Apneísta
199,272
Followers
861
Following
7,318
Tweets
2,573.0
Avg Engagement
164
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SofiGomezU'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:2009-08-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,145
- Avg Likes per Tweet:475.0
- Avg Retweets per Tweet:2,098.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,145 tweetsHer tweets receive high engagement, with an average of 17,448 likes and 2,094 retweets per post. This indicates a highly interactive and loyal follower base.
475.0
Avg Likes/Tweet
2,098.0
Avg Retweets/Tweet
1,493,941
Total Likes
6,598,252
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
5
Median Retweets
566
75th Percentile
516,785
Top Tweet
12.91
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
16.5%
Original
46.3%
Replies
33.0%
Retweets
4.2%
Quotes
0.0%
Threads
0.2%
With Media
32.1%
With Links
9.4%
With #Tags
79.9%
With @Mentions
24.4%
With Emojis
83
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.81
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.9%
Weekday Posts
25.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,145 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 1,037 retweets (33% 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 3,145 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 audience appears to be young adults and teenagers who enjoy humor and pop culture references. They are likely interested in relatable and entertaining content.
Good
Audience Quality
18.6%
Suspicion Index
24.5%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.5%
Empty Bio
15.7%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
39.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
10.4%
<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.
82,692,180
Total Potential Reach
66
Median Follower Reach
204
75th Percentile Reach
5.4%
>1K followers
0.6%
>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).
68.7%
Creators
34,370 accounts
15.6%
Consumers
7,796 accounts
15.7%
Dormant
7,834 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):
111
Verified Followers
0.11% of total
10,523
Protected Accounts
10.42% of total
9 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 |
|---|---|---|---|
| @JohnCena | 14,100,048 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JUANES | 11,471,511 | Musician | Music, Colombia, Latin pop |
| @LuisitoComunica | 8,938,681 | Influencer | Travel, Vlogs, Adventure |
| @carlosvives | 5,310,746 | Musician | Music, Cumbia, Colombia |
| @VickyDavilaH | 3,666,842 | Journalist | News, Journalism, Broadcasting |
| @Citytv | 3,433,692 | News Outlet | news, Colombia, world |
| @Juanjaramilloe | 3,334,711 | Content Creator | Content creation, Acting, LGBT activism |
| @fdbedout | 2,690,619 | Periodista | Periodista, Presentador, Colombia |
| @Radioacktiva_ | 1,989,900 | Radio Host | rock, football, video games |
| @Bogota | 1,824,750 | Government | government, Bogotá, news |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,671
Followers With Bio
43,328
Followers Without Bio
57.1%
% With Bio
42.9%
% 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 3,145 analyzed1,348,284
Combined Engagement
0
Total Likes
1,348,284
Total Retweets
269,657
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @itsdaneesaur: Can everybody just Please look at this cat https://t.co/GEPe1XzurJ
RT @rihanna: Never underestimate a man's ability to make you feel guilty for his mistakes
RT @ULTRAGLOSS: today is the last day u can retweet this for the next 10 years https://t.co/DvuKcorKcb
RT @rihanna: 🤷🏿♀️ https://t.co/mftXXvvncB
RT @mrhakelsack: omg she came as hannah montana and we didn’t even know https://t.co/rtatuaLcrV
Key Insights & Takeaways
Her content often uses humor to critique pop culture and societal norms. She frequently references Disney and other media, which appeals to her audience's interests. Her tweets are concise and shareable, contributing to high engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 199,272
- + 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 @SofiGomezU reveals an exceptionally influential Twitter presence with 199,272 followers. The account demonstrates a conversation-first approach, averaging 2,573.0 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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