Gaby Cam 🎬
Periodista / Host de @warnerchannella /Mis opiniones a título personal. Locutora en @los40mx @elbrunchfm @depelicula40 @lacornetafm Fan de la F1 en #GranPremioW
328,310
Followers
2,636
Following
40,150
Tweets
425.3
Avg Engagement
370
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gaby_cam'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:2009-01-15
- Verification:No
- Location:México, D.F.
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:102.6
- Avg Retweets per Tweet:322.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. She often uses emojis and calls to action to boost engagement.
102.6
Avg Likes/Tweet
322.6
Avg Retweets/Tweet
333,093
Total Likes
1,046,944
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
68
75th Percentile
76,648
Top Tweet
1.3
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
16.1%
Original
48.2%
Replies
29.1%
Retweets
6.6%
Quotes
0.0%
Threads
0.0%
With Media
27.2%
With Links
22.2%
With #Tags
83.2%
With @Mentions
19.3%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.98
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.9%
Weekday Posts
32.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 943 retweets (29% 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 3,245 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 includes fans of radio shows, followers of Mexican media, and enthusiasts of motorsports like F1. She also attracts attention from those interested in celebrity culture and journalism.
Average
Audience Quality
31.6%
Suspicion Index
41.5%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.8%
Empty Bio
35.6%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
25.3%
<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.
42,090,006
Total Potential Reach
13
Median Follower Reach
73
75th Percentile Reach
2.8%
>1K followers
0.4%
>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).
43.4%
Creators
21,696 accounts
21.0%
Consumers
10,518 accounts
35.6%
Dormant
17,786 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):
238
Verified Followers
0.24% of total
11,575
Protected Accounts
11.58% 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 |
|---|---|---|---|
| @TheRock | 17,083,537 | Actor | Movies, Fitness, Wrestling |
| @JohnCena | 14,103,190 | Wrestler | Wrestling, Motivation, Self-promotion |
| @El_Universal_Mx | 7,345,789 | News outlet | news, Mexico, journalism |
| @Cinemex | 6,832,990 | Cinema | movies, entertainment, cinema |
| @mariobautista_ | 5,422,216 | Musician | Music, Mexico, Social Media |
| @RafaMarquezMX | 3,952,140 | Footballer | Futbol, DT, Mexicano |
| @miguelhotero | 1,929,257 | Journalist | Politics, Journalism, Leadership |
| @Ticketmaster_Me | 1,665,290 | Ticketing | Entretenimiento, Boletos, Servicio al cliente |
| @Los40 | 1,577,514 | Music Media | Music, Community, Spain |
| @HBOMaxLA | 1,234,576 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,726
Followers With Bio
55,274
Followers Without Bio
44.73%
% With Bio
55.27%
% 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 3,245 analyzed264,597
Combined Engagement
47,796
Total Likes
216,801
Total Retweets
52,919
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @CasioTeam: En defensa de nuestros relojes Casio, la batería dura más que la relación de Pique y Shakira.
Amigo motociclista que le tocas el claxon a los coches cuando se van a cambiar de carril porque ‘ahí vienes’: permíteme recordarte que tú carril es el mismo que el de los coches, no en las rayas. 😡
RT @jezzzini: ME MOLESTA COCINAR 3 HORAS PARA COMER 2 MINUTOS Y LAVAR PLATOS POR DOS AÑOS OCHO MESES Y TRES DIAS
RT @Abrazartes: Les quiero pedir un favor enorme, compartir la foto de mi hija que desapareció ayer a las 7:30 de la tarde de la Plaza Parq…
RT @JamesGunn: Here are just a few of our plans. Up, up, and away! #DCStudios #DCU @DCComics https://t.co/8XNDNLUEPq
Key Insights & Takeaways
She frequently shares personal opinions on media and entertainment, which resonates with her audience. Her content often includes references to popular culture and celebrities, which helps maintain relevance. She leverages her platform to engage with fans and promote radio shows and events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 328,310
- + 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 @gaby_cam reveals an well-established Twitter presence with 328,310 followers. The account demonstrates a conversation-first approach, averaging 425.3 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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