Tina Sánchez🎶
Quiero cantarle al mundo Twitch partner | CC for @CaseEsports Tiktok (+544k)
73923
Followers
773
Following
34113
Tweets
27,6
Avg Engagement
66
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TinenQa'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:2011-12-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:24,2
- Avg Retweets per Tweet:3,4
- Followers Analyzed:50000
Engagement Analysis
Based on 598 tweetsTinenQa's tweets receive an average of 348 likes and 31 retweets, indicating a loyal and engaged fanbase. Their content is highly interactive and emotionally driven, which boosts engagement.
24,2
Avg Likes/Tweet
3,4
Avg Retweets/Tweet
14491
Total Likes
2040
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
27
75th Percentile
1306
Top Tweet
0,37
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
20,6%
Original
72,4%
Replies
4,7%
Retweets
2,3%
Quotes
0,0%
Threads
0,0%
With Media
14,0%
With Links
0,8%
With #Tags
78,8%
With @Mentions
34,6%
With Emojis
45
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3,52
Reply/Original Ratio
0,5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
63,9%
Weekday Posts
36,1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 28 retweets (5% 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 598 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 50000 followersTheir audience appears to be fans of gaming, music, and emotional content, with a strong presence on TikTok and Twitch. The audience is likely young and expressive, valuing authenticity and connection.
Average
Audience Quality
34,9%
Suspicion Index
39,9%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47,8%
Empty Bio
54,7%
<10 Tweets
1,3%
Mass Following (>2K)
0,0%
New (<90 days)
79,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
94,4%
No URL
31,9%
<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.
32776981
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
1,0%
>1K followers
0,3%
>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).
16,3%
Creators
8142 accounts
29,1%
Consumers
14527 accounts
54,7%
Dormant
27331 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):
141
Verified Followers
0.19% of total
2143
Protected Accounts
2.87% 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 |
|---|---|---|---|
| @Roblox | 6548222 | Gaming | Gaming, Community, Innovation |
| @Zilverk | 1719565 | Streamer | VTUBER, NFTS, Twitch |
| @yisucrist | 1652086 | Meme Creator | memes, profeta, ropa |
| @AuthenticGames | 1620226 | Gamer | Gaming, Minecraft, Vlogs |
| @ZarcortGame | 1322612 | Musician | Music, Rap, Album |
| @christophervele | 1034047 | Singer | Music, CNCO, Social Media |
| @rogerhamilton | 929461 | Entrepreneur | education, entrepreneurship, futurism |
| @Alvaro845 | 886522 | YouTuber | Mobile gaming, TeamQuesoGG, Business |
| @Mayichii | 867301 | Footballer | Football, Gaming, Red Bull |
| @paracetamor | 796201 | Streamer | Gaming, Esports, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36001
Followers With Bio
38790
Followers Without Bio
48.14%
% With Bio
51.86%
% 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 598 analyzed3439
Combined Engagement
2326
Total Likes
1113
Total Retweets
688
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Modo fangirl on Buenas noches 🫶🏻 https://t.co/NoP4x9uPJq
RT @christophervele: La pase increíble en tu torneo @Rubiu5 gracias por la oportunidad🙏🏻🔥 @KOPURISTA @TinenQa @ZarcortGame que buen equipo…
El equipo calcetines sucios o buitres el mejor, la verdad que me emocioné que hice una cover de ellos, me muero de vergüenza
Muchas gracias de verdad por todo el cariño, estoy que no me lo creo, in love 🥹🫶🏻
Me lo he pasado super y he conocido a gente muy maja🥰🥰
Key Insights & Takeaways
TinenQa's content is heavily focused on personal expression and emotional connection with their audience. They frequently share fan interactions and heartfelt messages, which strengthens their bond with followers. Their use of emojis and casual language makes their content relatable and engaging for a younger demographic.
Strengths
- + Established follower base of 73923
- + 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 @TinenQa reveals an growing Twitter presence with 73923 followers. The account demonstrates a conversation-first approach, averaging 27,6 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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