Estrella Damm Es
Estrella Damm recomienda el consumo responsable. 5,4 º Siguiéndonos confirmas que tienes +18 años.
66,327
Followers
926
Following
16,280
Tweets
26.5
Avg Engagement
304
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EstrellaDammEs'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:2011-09-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:23.7
- Avg Retweets per Tweet:2.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account shows moderate engagement with an average of 5,868 likes and 653 retweets per tweet. The content is designed to encourage interaction and brand visibility.
23.7
Avg Likes/Tweet
2.7
Avg Retweets/Tweet
77,054
Total Likes
8,921
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
48,578
Top Tweet
0.4
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8.9%
Original
90.6%
Replies
0.0%
Retweets
0.5%
Quotes
0.0%
Threads
0.0%
With Media
18.7%
With Links
13.5%
With #Tags
95.7%
With @Mentions
34.5%
With Emojis
80
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.23
Reply/Original Ratio
15.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.7%
Weekday Posts
19.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 retweets (0% 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 3,250 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 followersThe audience is primarily adults, as the account requires users to confirm they are over 18 to follow. The content appeals to those interested in food, lifestyle, and entertainment.
Average
Audience Quality
23.1%
Suspicion Index
22.9%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.7%
Empty Bio
22.1%
<10 Tweets
17.1%
Mass Following (>2K)
0.0%
New (<90 days)
48.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.3%
No URL
13.1%
<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.
38,133,287
Total Potential Reach
64
Median Follower Reach
266
75th Percentile Reach
8.9%
>1K followers
1.5%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.6%
Creators
5,862 accounts
19.3%
Consumers
1,928 accounts
22.1%
Dormant
2,210 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):
69
Verified Followers
0.69% of total
895
Protected Accounts
8.95% of total
7 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 |
|---|---|---|---|
| @auronplay | 19,551,156 | YouTuber | Humor, Gaming, Content Creation |
| @Wismichu | 2,674,129 | YouTuber | Figuritas, cómics, problemas |
| @MarcGasol | 1,194,647 | Basketball Player | Basketball, Sailing, Wine |
| @gerardromero | 1,162,909 | Sports Journalist | Sports, Radio, Journalism |
| @JoanLaportaFCB | 884,845 | Lawyer | Football, Advocacy, Leadership |
| @museoreinasofia | 774,282 | Museum | Art, culture, history |
| @elperiodico | 733,550 | News outlet | News, Current Affairs, Journalism |
| @penguinlibros | 676,270 | Publisher | Libros, Regalar, Editorial |
| @NatGeoEsp | 470,496 | Magazine | Actualidad, reportajes, exploración |
| @blonstark | 372,711 | Manager | Pienso, escribo, escenario |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,733
Followers With Bio
3,267
Followers Without Bio
67.33%
% With Bio
32.67%
% 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 3,250 analyzed58,557
Combined Engagement
53,781
Total Likes
4,776
Total Retweets
11,711
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
.@auronplay pero ¿dónde te sentaaaaste? 🍻 https://t.co/Sj2xIwLY5Y
Joan Roca, Dabiz Muñoz, Ferran Adrià, Maca de Castro y 38 más protagonizan el nuevo #Mediterráneamente. ¡Buen provecho! https://t.co/w5JxQXkVuY
¡Estrenamos PKM! Protagonizada por Bad Gyal y con la participación de xBuyer. Mírala aquí 👇 https://t.co/qwX3lyxjzW
Os presentamos Amantes, el segundo acto del nuevo #Mediterráneamente. https://t.co/hObeQXZopt
@auronplay da el visto bueno a vivir este verano aquí, ahora y así 🍻 https://t.co/Aapy9g2E2T
Key Insights & Takeaways
The account uses verified status to build trust and credibility. Collaborations with influencers and celebrities help increase reach and engagement. The focus on responsible consumption aligns with brand values and targets a conscious consumer base.
Strengths
- + Established follower base of 66,327
- + 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 @EstrellaDammEs reveals an growing Twitter presence with 66,327 followers. The account demonstrates a conversation-first approach, averaging 26.5 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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