Riccardo Cifuentes
184,224
Followers
1,333
Following
7,372
Tweets
513.5
Avg Engagement
91
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RcrdoCifuentes'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:2011-08-23
- Verification:No
- Location:Colombia
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:256.4
- Avg Retweets per Tweet:257.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,193 tweetsThe account has a high average engagement with likes and retweets, suggesting a dedicated and interactive follower base.
256.4
Avg Likes/Tweet
257.1
Avg Retweets/Tweet
818,711
Total Likes
820,854
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
205
Median Likes
31
Median Retweets
391
75th Percentile
309,765
Top Tweet
2.79
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
65.3%
Original
24.0%
Replies
9.4%
Retweets
1.3%
Quotes
0.0%
Threads
0.1%
With Media
22.3%
With Links
4.7%
With #Tags
38.8%
With @Mentions
44.3%
With Emojis
53
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 301 retweets (9% 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 3,193 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 followersThe audience appears to be interested in art, personal stories, and creative content. They are likely fans of the user's artistic style and personal interactions.
Average
Audience Quality
33.4%
Suspicion Index
39.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.8%
Empty Bio
47.2%
<10 Tweets
9.1%
Mass Following (>2K)
0.0%
New (<90 days)
73.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
33.2%
<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.
44,010,612
Total Potential Reach
6
Median Follower Reach
45
75th Percentile Reach
2.7%
>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).
30.7%
Creators
15,348 accounts
22.1%
Consumers
11,029 accounts
47.2%
Dormant
23,623 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):
53
Verified Followers
0.05% of total
8,105
Protected Accounts
8.02% 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 |
|---|---|---|---|
| @JohnCena | 14,100,303 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ladivaza | 4,873,818 | Influencer | comedy, fashion, entertainment |
| @DebRyanShow | 4,560,178 | Podcaster | Podcasting, Teaching, Email |
| @Juanjaramilloe | 3,334,625 | Content Creator | Content creation, Acting, LGBT activism |
| @nathcampost | 2,203,368 | Influencer | comedy, nature, vintage |
| @6BillionPeople | 2,033,596 | - | - |
| @Soylizbethmx | 1,812,277 | Influencer | Comedy, Entertainment, Social Media |
| @fedevigevani | 1,681,292 | Entrepreneur | Uruguay, Mexico, Email |
| @TheVampsJames | 1,541,662 | Musician | Music, Wildlife, Charity |
| @DhasiaWezka | 1,493,629 | Influencer | Fashion, Beauty, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,464
Followers With Bio
43,535
Followers Without Bio
56.9%
% With Bio
43.1%
% 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 3,193 analyzed482,340
Combined Engagement
0
Total Likes
482,340
Total Retweets
96,468
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @rihanna: A rat is a rat
RT @OmarSy: "ENSEMBLE, TOUT EST POSSIBLE" À vous de jouer ! #LoveArmyForRohingya https://t.co/b7b6sxLjfD
RT @jeromejarre: HUMANITY. IT’S NOW OR NEVER! WE NEED ALL OF YOU! LET THE WORLD KNOW! 🌎♥️ #LoveArmyForRohingya https://t.co/X0vPGr2eQl
RT @MisterVonline: MESSAGE IMPORTANT ❤️ #LoveArmyForRohingya ON COMPTE SUR VOUS ! 💪🏽 https://t.co/ouCGZhCKEV
RT @legrandjd: ON A BESOIN DE VOUS! #LoveArmyForRohingya ❤️💪🏻 https://t.co/KvyR19jFlo
Key Insights & Takeaways
The user frequently shares artistic content, such as collages and drawings, which likely drives engagement. Personal interactions and mentions of other users indicate a focus on building a community and personal connections. The user's content is visually appealing and emotionally expressive, contributing to high engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 184,224
- + 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 @RcrdoCifuentes reveals an well-established Twitter presence with 184,224 followers. The account demonstrates a content-creator strategy, averaging 513.5 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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