Riquelme6
@nikefootball / Zé Manel e Ivone 🙏🏿🖤🌟👼🏿
32,536
Followers
151
Following
2,757
Tweets
3,635.9
Avg Engagement
14
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @riquelme6'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:2016-10-08
- Verification:No
- Location:Rio de Janeiro, Brasil
Data Summary
- Tweets Analyzed:562
- Avg Likes per Tweet:497.7
- Avg Retweets per Tweet:3,138.2
- Followers Analyzed:32,980
Engagement Analysis
Based on 562 tweetsThe account has a high average engagement rate with likes and retweets, suggesting a dedicated and active follower base that interacts with the content regularly.
497.7
Avg Likes/Tweet
3,138.2
Avg Retweets/Tweet
279,683
Total Likes
1,763,670
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
29
Median Retweets
2,343
75th Percentile
167,302
Top Tweet
111.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
14.2%
Original
36.8%
Replies
46.6%
Retweets
2.3%
Quotes
0.0%
Threads
0.0%
With Media
33.6%
With Links
10.5%
With #Tags
84.9%
With @Mentions
54.6%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.59
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.0%
Weekday Posts
32.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 562 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 262 retweets (47% 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 562 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 32,980 followersThe audience appears to be football fans, particularly supporters of Vasco and other Brazilian teams, as well as individuals interested in sports and personal updates.
Good
Audience Quality
17.3%
Suspicion Index
19.0%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.0%
Empty Bio
19.4%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
38.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
12.0%
<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.
31,019,769
Total Potential Reach
64
Median Follower Reach
269
75th Percentile Reach
7.3%
>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).
61.8%
Creators
20,366 accounts
18.8%
Consumers
6,214 accounts
19.4%
Dormant
6,400 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):
97
Verified Followers
0.29% of total
3,658
Protected Accounts
11.09% 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 |
|---|---|---|---|
| @Casimiro | 4,062,222 | Streamer | Vasco da Gama, Presenting, Streaming |
| @VascodaGama | 2,683,035 | Footballer | Football, History, Social Media |
| @BabuSantana | 1,334,122 | Actor | Ator, Cantor, Contato |
| @ReinierJesus20 | 845,170 | - | - |
| @venecasagrande | 816,547 | Journalist | Journalism, SBT Rio, YouTube |
| @DoentesPFutebol | 800,322 | Sports Blogger | Futebol, Informação, Opinião |
| @njdmarlon | 720,433 | Comedian | humor, futebol, parcerias |
| @ericfaria74 | 586,926 | Runner | Correr, Felicidade, Viver |
| @SofascoreBR | 566,082 | Sports Data | sports, statistics, live scores |
| @l_castan | 365,649 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,414
Followers With Bio
8,566
Followers Without Bio
74.03%
% With Bio
25.97%
% 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 562 analyzed627,723
Combined Engagement
0
Total Likes
627,723
Total Retweets
125,545
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @neymarjr: Moicano feito, julliete separada e a caixinha de som carregando. 👉🏽🤪👈🏽
RT @neymarjr: Abandonado, é assim que eu me sinto.... #carente rsrs
RT @neymarjr: Único arrependimento que tenho é por não ter dado na cara desse babaca
RT @neymarjr: #teamPrior 🔥no 🎡
RT @neymarjr: VAR pegar a minha “agressão” é mole ... agora eu quero ver pegar a imagem do racista me chamando de “MONO HIJO DE PUTA” (maca…
Key Insights & Takeaways
The user frequently promotes football-related content and events, such as giveaways and match celebrations. They use a mix of emojis and hashtags to convey emotion and connect with their audience. There is a strong emphasis on community and fan support, especially for teams like Vasco and Manu.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 32,536
- + 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 @riquelme6 reveals an exceptionally influential Twitter presence with 32,536 followers. The account demonstrates a conversation-first approach, averaging 3,635.9 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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