Magdyel Ugaz
Actriz y Conductora / Eventos: 📞 986 663 419 /✉️ [email protected]
1,195,363
Followers
750
Following
6,524
Tweets
54.8
Avg Engagement
1,061
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @magdyelugaz'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: Mega Influencer (1M+)
- Account Age:2010-12-01
- Verification:No
- Location:Lima, Peru
Data Summary
- Tweets Analyzed:3,097
- Avg Likes per Tweet:41.9
- Avg Retweets per Tweet:12.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,097 tweetsHer tweets typically receive around 1,000 likes and 126 retweets on average, indicating a highly engaged audience. She frequently uses emojis and personal tags to foster connection.
41.9
Avg Likes/Tweet
12.9
Avg Retweets/Tweet
129,758
Total Likes
40,094
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
3
Median Retweets
60
75th Percentile
4,617
Top Tweet
0.05
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
47.8%
Original
4.4%
Replies
27.9%
Retweets
19.9%
Quotes
0.0%
Threads
0.0%
With Media
75.4%
With Links
36.7%
With #Tags
48.6%
With @Mentions
53.7%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.71
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,097 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 864 retweets (28% 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 3,097 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 primarily consists of fans of her acting and hosting career, as well as those interested in event invitations and personal updates. She interacts with both fans and fellow celebrities.
Below Average
Audience Quality
36.4%
Suspicion Index
42.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.5%
Empty Bio
59.1%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
84.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
42.7%
<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.
6,358,327
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
19.4%
Creators
9,686 accounts
21.6%
Consumers
10,783 accounts
59.1%
Dormant
29,531 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):
24
Verified Followers
0.02% of total
5,597
Protected Accounts
5.6% 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 |
|---|---|---|---|
| @benlandis | 2,851,314 | - | - |
| @Reportero24 | 945,209 | - | - |
| @DanielNewman | 813,275 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @fuedicho | 796,052 | Writer | Frases, versos, refranes |
| @Stephanie_Cayo | 780,131 | - | - |
| @claudiacisneros | 643,691 | Journalist | Feminism, Human Rights, Climate Change |
| @El_Ciudadano | 580,693 | Journalist | Prensa, Libertaria, Denuncia |
| @recisneros | 535,390 | Writer | writing, journalism, literature |
| @ocram | 417,279 | Podcaster | Podcasts, LaEncerrona, LunesAViernes |
| @EstherBirungi4 | 315,989 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,166
Followers With Bio
52,834
Followers Without Bio
47.17%
% With Bio
52.83%
% 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 3,097 analyzed14,417
Combined Engagement
3,618
Total Likes
10,799
Total Retweets
2,883
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @danielfolivares: Estamos en el Almenara y la situación es la siguiente: Luis Aguilar Rodríguez (impacto de bala). Se encuentra estable.…
@coutomayra ♥️♥️♥️♥️♥️ https://t.co/L39kjEuk0N
RT @saldelsol: Digamos NO a la XENOFOBIA. Rechacemos a quienes esparcen el miedo e incitan la desconfianza y el odio contra quienes, lejos…
RT @danielfolivares: Propusimos liderar una lista, dijeron NO. Decidimos sumarnos a una lista liderada por una colega que se opuso a la va…
RT @BackusOficial: Desde ayer, continuamos envasando agua para donar a los daminificados. Gracias equipo por su compromiso. #UnaSolaFuerza…
Key Insights & Takeaways
She focuses on personal connections and fan engagement through direct mentions and heart emojis Her content often includes event promotions and personal memories, suggesting a blend of professional and personal branding She maintains a consistent online presence with regular tweeting and active interaction with followers
Strengths
- + Established follower base of 1,195,363
- + 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 @magdyelugaz reveals an growing Twitter presence with 1,195,363 followers. The account demonstrates a content-creator strategy, averaging 54.8 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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