ANGÉLICA CAMACHO
Sports and entertainment Tv host & Entrepreneur. Cellucor Athlete/EastBywomen ambassador 🇺🇸 Miami based
703,399
Followers
4,322
Following
110,469
Tweets
324.3
Avg Engagement
1,228
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @byAngelicaC'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:2010-09-17
- Verification:No
- Location:Miami, FL
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:61.4
- Avg Retweets per Tweet:262.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHer tweets receive an average of 6,183 likes and 310 retweets, indicating strong audience interaction. She frequently shares personal experiences and collaborations, which drive engagement.
61.4
Avg Likes/Tweet
262.9
Avg Retweets/Tweet
199,241
Total Likes
853,424
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
43
75th Percentile
92,354
Top Tweet
0.46
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
24.4%
Original
46.1%
Replies
8.8%
Retweets
20.7%
Quotes
0.0%
Threads
0.1%
With Media
44.6%
With Links
16.4%
With #Tags
66.2%
With @Mentions
67.8%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.89
Reply/Original Ratio
2.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.4%
Weekday Posts
34.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 286 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 3,246 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 followersHer audience is primarily interested in sports, entertainment, and lifestyle content. They are likely young adults and teenagers who follow influencers and celebrities.
Below Average
Audience Quality
38.4%
Suspicion Index
44.3%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.9%
Empty Bio
47.9%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
81.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.6%
No URL
34.8%
<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.
29,177,995
Total Potential Reach
17
Median Follower Reach
68
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).
30.7%
Creators
15,371 accounts
21.4%
Consumers
10,682 accounts
47.9%
Dormant
23,947 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):
209
Verified Followers
0.21% of total
11,180
Protected Accounts
11.18% 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 |
|---|---|---|---|
| @FabrizioRomano | 14,450,905 | Journalist | Football, Transfers, News |
| @JohnCena | 14,105,211 | Wrestler | Wrestling, Motivation, Self-promotion |
| @IkerCasillas | 10,105,478 | Footballer | Football, Ambassador, Real Madrid |
| @KingBach | 2,382,963 | Actor | Comedy, Acting, YouTube |
| @C1audioBravo | 2,144,132 | Footballer | Football, Humility, Loyalty |
| @miguelhotero | 1,928,592 | Journalist | Politics, Journalism, Leadership |
| @richarlison97 | 1,654,225 | Footballer | Football, Copa America, Olympics |
| @10APG | 1,613,795 | Footballer | Soccer, Tigres, Marseille |
| @wqueijeiro | 1,258,612 | Journalist | radio, escritor, Instagram |
| @Ligue1_ENG | 1,044,545 | Sports Media | Football, French league, Champions Trophy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,251
Followers With Bio
49,749
Followers Without Bio
50.25%
% With Bio
49.75%
% 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 3,246 analyzed312,283
Combined Engagement
0
Total Likes
312,283
Total Retweets
62,457
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @fifaworldcup_es: 🇦🇷 ARGENTINA CAMPEÓN DEL MUNDO 🏆
RT @Pele: O futebol é alegria. É uma dança. É uma verdadeira festa. Apesar de que o racismo ainda exista, não permitiremos que isso nos imp…
RT @ManCity: Manchester City can confirm that we have reached an agreement in principle with Borussia Dortmund for the transfer of striker…
RT @ManCity: Premier League Champions 21/22!!! 🏆💙 https://t.co/FzOuKblPZd
RT @SnoopDogg: ⚽️
Key Insights & Takeaways
She leverages personal experiences and travel to connect with her audience Her content often includes collaborations with brands and influencers She maintains a consistent and energetic tone in her tweets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 703,399
- + 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 @byAngelicaC reveals an well-established Twitter presence with 703,399 followers. The account demonstrates a conversation-first approach, averaging 324.3 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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