juan pablo raba
Actor + MTB Enthusiast contact: info@imprenssionent.com
850,692
Followers
1,402
Following
20,483
Tweets
759.3
Avg Engagement
1,808
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @juanpabloraba'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:2010-03-21
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3,098
- Avg Likes per Tweet:14.4
- Avg Retweets per Tweet:745.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,098 tweetsHis tweets typically receive around 2,647 likes and 515 retweets on average, indicating a strong and active community interaction.
14.4
Avg Likes/Tweet
745.0
Avg Retweets/Tweet
44,549
Total Likes
2,307,886
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
38
75th Percentile
420,103
Top Tweet
0.89
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
19.4%
Original
9.5%
Replies
64.6%
Retweets
6.5%
Quotes
0.0%
Threads
0.8%
With Media
41.3%
With Links
38.0%
With #Tags
82.5%
With @Mentions
16.0%
With Emojis
113
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.49
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.8%
Weekday Posts
17.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,098 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 2,002 retweets (65% 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 3,098 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 followersHis audience appears to be interested in both entertainment and social issues, with a focus on personal expression and public discourse.
Average
Audience Quality
27.3%
Suspicion Index
31.8%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.7%
Empty Bio
30.1%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
59.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
17.9%
<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.
111,277,285
Total Potential Reach
27
Median Follower Reach
117
75th Percentile Reach
4.3%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
45.0%
Creators
22,523 accounts
24.8%
Consumers
12,417 accounts
30.1%
Dormant
15,060 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):
294
Verified Followers
0.29% of total
9,990
Protected Accounts
9.99% 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 |
|---|---|---|---|
| @netflix | 21,709,292 | Entertainment | Cardi B, Netflix, Petition |
| @Marvel | 17,462,349 | Entertainment | Comics, Movies, Games |
| @JohnCena | 14,105,451 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SofiaVergara | 8,483,028 | Actor | Mother, Wife, Actor |
| @GordonRamsay | 7,699,238 | Chef | Cooking, Food, Restaurants |
| @NetflixES | 3,285,708 | Social Media Manager | TV shows, Bridgerton, España |
| @DanielSamperO | 3,185,781 | Columnista | Columnista, Youtuber, Comediante |
| @NetflixIT | 2,761,118 | Entertainment | TV shows, Movies, Entertainment |
| @BeatsByAssassin | 2,265,411 | Multitalented | Actor, Director, Rapper |
| @ifilosofia | 2,246,824 | Matemático | philosophy, mathematics, reflection |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,198
Followers With Bio
60,802
Followers Without Bio
39.2%
% With Bio
60.8%
% 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 3,098 analyzed854,069
Combined Engagement
0
Total Likes
854,069
Total Retweets
170,814
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
RT @sarahcpr: How to medical https://t.co/0EDqJcy38p
RT @JKCorden: Holy shit. This commercial. https://t.co/aXewAG5C3i
RT @julia_otero: ¿Alguien puede defender esto? https://t.co/WOVIYCnmAS
RT @PFA809: Mr. President, with all due respect, you are wrong. The fires in So. Cal are urban interface fires and have NOTHING to do with…
Key Insights & Takeaways
He often shares personal reflections and emotional content, which resonates with his audience. He engages in social and political discussions, showing a commitment to public issues. He uses humor and provocative language to challenge norms and spark debate.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 850,692
- + 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 @juanpabloraba reveals an well-established Twitter presence with 850,692 followers. The account demonstrates a content-creator strategy, averaging 759.3 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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