Angelique Boyer
Con los pies en la tierra y los ojos en la luna!! https://teamangeliqueboyer.com/
791,661
Followers
3,560
Following
18,942
Tweets
473.2
Avg Engagement
1,394
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Anboy88'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:2010-08-02
- Verification:No
- Location:En el ombligo de la Luna
Data Summary
- Tweets Analyzed:3,184
- Avg Likes per Tweet:304.9
- Avg Retweets per Tweet:168.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,184 tweetsAnboy88's tweets receive strong engagement, indicating a loyal and active audience. The average likes and retweets suggest a high level of interaction with their content.
304.9
Avg Likes/Tweet
168.3
Avg Retweets/Tweet
970,780
Total Likes
535,748
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
64
Median Likes
55
Median Retweets
528
75th Percentile
29,257
Top Tweet
0.6
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
27.3%
Original
30.7%
Replies
35.8%
Retweets
6.2%
Quotes
0.0%
Threads
0.0%
With Media
38.4%
With Links
42.1%
With #Tags
75.5%
With @Mentions
56.2%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.12
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.9%
Weekday Posts
20.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,184 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 1,140 retweets (36% 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 3,184 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 emotionally engaged and interested in heartfelt messages and cultural connections. They are likely fans of emotional and inspirational content.
Average
Audience Quality
29.2%
Suspicion Index
35.2%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.3%
Empty Bio
42.2%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
64.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
30.2%
<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.
70,349,150
Total Potential Reach
8
Median Follower Reach
62
75th Percentile Reach
3.4%
>1K followers
0.4%
>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).
38.4%
Creators
19,181 accounts
19.5%
Consumers
9,730 accounts
42.2%
Dormant
21,089 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):
161
Verified Followers
0.16% of total
13,435
Protected Accounts
13.44% 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 |
|---|---|---|---|
| @JohnCena | 14,105,384 | Wrestler | Wrestling, Motivation, Self-promotion |
| @funnyordie | 12,895,399 | Comedy | Comedy, Entertainment, Humor |
| @JUANES | 11,483,056 | Musician | Music, Colombia, Latin pop |
| @DebRyanShow | 4,562,328 | Podcaster | Podcasting, Teaching, Email |
| @PaulaFernandes7 | 4,508,744 | Singer | Music, EP, 11:11 |
| @ChumelTorres | 3,840,866 | Comedian | politics, humor, activism |
| @Leonardo_Padron | 2,995,884 | Writer | Escritor, Instagram, Literatura |
| @DeboConfesarQue | 2,861,035 | Influencer | Confesiones, Lluvia, Llama |
| @Univision | 2,798,885 | Media | news, entertainment, sports |
| @programa_hoy | 2,295,350 | TV Hosts | Entertainment, Television, Morning Show |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,642
Followers With Bio
42,358
Followers Without Bio
57.64%
% With Bio
42.36%
% 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 3,184 analyzed99,307
Combined Engagement
6,319
Total Likes
92,988
Total Retweets
19,861
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @mushkilgusha783: A veces el periodismo enorgullece y humaniza: -¿No tienes empatía? le dice el periodista @BrianKarem a la vocera de…
RT @eliasferrerm: ¿Alguien en la CDMX,en la Condesa? Necesitó localizar a Lucia Ferrer Gonzalez, tiene 10 años... RT por favor.😢 #sismo…
RT @LaCafeteraWar: alguien: 📷 yo: https://t.co/ObficgWmjI
RT @IndirectasRock: Te quiero ver logrando todo.
Gracias por su apoyo nos hacen muy felices! Amar A Muerte
Key Insights & Takeaways
The user frequently expresses gratitude and appreciation for their supporters. Their content often includes emotional and inspirational messages. They engage with cultural and personal themes, such as travel and connection with others.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 791,661
- + 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 @Anboy88 reveals an well-established Twitter presence with 791,661 followers. The account demonstrates a conversation-first approach, averaging 473.2 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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