RBjr
Jugador en Monterey Bay FC 🌊 #DefendThe831 📩 [email protected]
90,024
Followers
94
Following
945
Tweets
1,003.5
Avg Engagement
58
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RafaBacaJr'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:2016-04-18
- Verification:No
- Location:México
Data Summary
- Tweets Analyzed:900
- Avg Likes per Tweet:747.4
- Avg Retweets per Tweet:256.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 900 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
747.4
Avg Likes/Tweet
256.1
Avg Retweets/Tweet
672,637
Total Likes
230,530
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
627
Median Likes
33
Median Retweets
1,130
75th Percentile
128,238
Top Tweet
11.15
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
68.4%
Original
6.9%
Replies
19.0%
Retweets
5.7%
Quotes
0.0%
Threads
0.0%
With Media
92.1%
With Links
38.3%
With #Tags
36.2%
With @Mentions
81.9%
With Emojis
94
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 900 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 171 retweets (19% 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 900 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 10,000 followersHis audience includes football fans, teammates, and supporters of his team, Monterey Bay FC, with a focus on engagement and community building.
Below Average
Audience Quality
36.4%
Suspicion Index
42.9%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
47.1%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
82.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.9%
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.
17,201,455
Total Potential Reach
5
Median Follower Reach
36
75th Percentile Reach
2.4%
>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).
29.1%
Creators
2,911 accounts
23.8%
Consumers
2,382 accounts
47.1%
Dormant
4,707 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):
11
Verified Followers
0.11% of total
875
Protected Accounts
8.75% 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 |
|---|---|---|---|
| @JohnCena | 14,094,962 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Moreno | 430,858 | Influencer | Business, Manager, Serious |
| @clauok10 | 214,081 | - | - |
| @CristianReyDice | 190,711 | - | - |
| @Potropegaso21 | 145,394 | Football Coach | Futbol, Profesor, Campeonatos |
| @AccionTUDN | 130,716 | Sports Media | Sports, Action, Sundays |
| @Soy_Del_Futbol | 112,219 | Interior Designer | Real Madrid, Football, Lifestyle |
| @Pilar__HA | 106,820 | Mamá | Mamá, abuela, Cantante frustrada |
| @cordova_sports | 86,652 | Sports Journalist | Sports, Communication, Cruz Azul |
| @adorri25 | 69,076 | Exfutbolista | Futbol, Pumas, Cristo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,737
Followers With Bio
5,263
Followers Without Bio
47.37%
% With Bio
52.63%
% 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 900 analyzed158,961
Combined Engagement
19,443
Total Likes
139,518
Total Retweets
31,792
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @Lakers: JOB'S FINISHED: YOUR LOS ANGELES LAKERS ARE NBA CHAMPIONS https://t.co/Dnxtgt9i1d
¡Celestes! Regalaré ésta camiseta UA con mi dorsal. Sólo tienen que dar RT y MG a éste TWEET y tener suerte. El GANADOR será elegido de manera aleatoria en los próximos días. Unidos creamos la fuerza #EternamenteAzul 🚂🔵🔴 https://t.co/y2JBSD4Cah
A unas horas de ver a mis padres, les prometí esto 🏆👊 Y ahora estamos en camino🛫🔵 https://t.co/nIaE1pfoBV
¡Así es Cruz Azul, gracias afición! A trabajar por más... 🔜
RT @miseleccionmx: ¡¡Griten!! 🗣 ¡¡Canten!! 🎶 ¡¡Bailen!! 🕺🏻 ¡¡Somos campeones de la 🏆 Oro tras vencer a 🇺🇸!! @adidasMX te deja con el marcador final del encuentro: #PasiónyOrgullo | #FMFporNuestroFútbol https://t.co/Nsz0yI5pI5
Key Insights & Takeaways
He frequently shares personal milestones and achievements, which helps build a connection with his followers. He runs giveaways and promotions, encouraging engagement through retweets and mentions. He uses hashtags and team-related content to reinforce brand loyalty and community spirit.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,024
- + 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 @RafaBacaJr reveals an exceptionally influential Twitter presence with 90,024 followers. The account demonstrates a content-creator strategy, averaging 1,003.5 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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