15,348
Followers
320
Following
5,779
Tweets
138.6
Avg Engagement
6
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Resucting'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:2015-11-17
- Verification:No
- Location:Buenos Aires, Argentina
Data Summary
- Tweets Analyzed:583
- Avg Likes per Tweet:30.1
- Avg Retweets per Tweet:108.5
- Followers Analyzed:15,601
Engagement Analysis
Based on 583 tweetsThe account has a high average number of likes and retweets, suggesting a responsive and engaged audience. The use of giveaways likely boosts interaction and follower growth.
30.1
Avg Likes/Tweet
108.5
Avg Retweets/Tweet
17,549
Total Likes
63,237
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
40
75th Percentile
12,850
Top Tweet
9.03
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
18.7%
Original
69.1%
Replies
9.6%
Retweets
2.6%
Quotes
0.0%
Threads
0.0%
With Media
20.2%
With Links
0.5%
With #Tags
81.3%
With @Mentions
13.2%
With Emojis
50
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.7
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 583 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 56 retweets (10% 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 583 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 15,601 followersThe audience appears to be interested in giveaways, promotions, and content sharing. They are likely active Twitter users looking for engagement and rewards.
Average
Audience Quality
27.1%
Suspicion Index
29.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
32.5%
<10 Tweets
0.8%
Mass Following (>2K)
0.0%
New (<90 days)
71.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
16.3%
<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.
17,990,632
Total Potential Reach
2
Median Follower Reach
13
75th Percentile Reach
1.4%
>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).
32.4%
Creators
5,051 accounts
35.1%
Consumers
5,483 accounts
32.5%
Dormant
5,067 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):
39
Verified Followers
0.25% of total
664
Protected Accounts
4.26% of total
3 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 |
|---|---|---|---|
| @elcosodelapizza | 6,654,697 | Pizza Box Stand | pizza, queso, caja |
| @SpreenDMC | 3,972,955 | Estudiante | Productive, Life, SpreenMC |
| @NimuVt | 2,123,983 | VStreamer | VStreamer, 3D Mama, Art |
| @rodricarreraaa | 846,614 | Musician | Halloween, Music, Fashion |
| @JeromeASF | 783,157 | Internet Personality | Gaming, Content Creation, Entrepreneurship |
| @HasvikMC | 480,325 | Content Creator | Esports, Gaming, Content Creation |
| @PersonalFlow_At | 388,964 | Customer Support | Personal, Flow, Support |
| @nategentile7 | 340,549 | YouTuber | Technology, Videos, Internet |
| @xtz132 | 264,544 | - | - |
| @kaykookiedough | 237,772 | Content Creator | Baking, NSFW, Memes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,845
Followers With Bio
6,756
Followers Without Bio
56.7%
% With Bio
43.3%
% 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 583 analyzed47,945
Combined Engagement
0
Total Likes
47,945
Total Retweets
9,589
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Ramardoh1: El Cuti Romero preparándose para llevarse la tibia de Mbappe https://t.co/NfV1QoNEhF
RT @sudanalytics_: LIONEL MESSI CAMPEÓN DEL MUNDO. https://t.co/jr7f2X6FjY
RT @SpreenDMC: DIBU ME VOY A COMPRAR 3000 COMBOS MEGA DIBU
RT @rodricarreraaa: PARA QUE QUEREMOS BUENA ECONOMÍA SI TENEMOS BUEN FÚTBOL
RT @dirtyalejo: el q tiene covid hoy a la noche https://t.co/hZhvtHczG6
Key Insights & Takeaways
The account frequently uses giveaways to boost engagement and follower growth. It interacts with followers by asking for likes and retweets to participate in promotions. The content is focused on collaboration and community-driven activities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,348
- + 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 @Resucting reveals an well-established Twitter presence with 15,348 followers. The account demonstrates a conversation-first approach, averaging 138.6 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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