Thaís Damaso
224,187
Followers
1,490
Following
105,299
Tweets
934.8
Avg Engagement
98
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @thaisdamaso'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:2009-07-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:177.6
- Avg Retweets per Tweet:757.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,225 tweetsThe account has a high engagement rate with an average of 32,444 likes and 4,988 retweets per tweet.
177.6
Avg Likes/Tweet
757.2
Avg Retweets/Tweet
572,858
Total Likes
2,441,817
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
97
75th Percentile
677,483
Top Tweet
4.17
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
40.5%
Original
33.9%
Replies
10.2%
Retweets
15.4%
Quotes
0.0%
Threads
0.0%
With Media
27.8%
With Links
9.3%
With #Tags
44.4%
With @Mentions
8.1%
With Emojis
56
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.84
Reply/Original Ratio
1.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.8%
Weekday Posts
18.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,225 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 329 retweets (10% 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 3,225 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 interested in everyday humor, relatable moments, and viral content.
Average
Audience Quality
23.6%
Suspicion Index
29.6%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.0%
Empty Bio
32.7%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
49.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.8%
No URL
23.1%
<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.
61,183,125
Total Potential Reach
24
Median Follower Reach
147
75th Percentile Reach
3.9%
>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).
50.2%
Creators
25,100 accounts
17.1%
Consumers
8,546 accounts
32.7%
Dormant
16,354 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):
65
Verified Followers
0.06% of total
13,739
Protected Accounts
13.6% 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 |
|---|---|---|---|
| @ShawnMendes | 26,417,422 | Singer | music, performing, philanthropy |
| @HugoGloss | 5,322,707 | Entertainment Blogger | Entertainment, Beyoncé, Brazil |
| @luisasonza | 5,116,768 | Singer | music, singing, songwriting |
| @alvxaro | 4,914,320 | Meme Slayer | memes, humor, matadora |
| @julianapaes | 4,777,402 | Atriz | Atriz, Defensora, Embaixadora |
| @frasesdebebada | 4,343,419 | Influencer | Alcohol, Humor, Influencer |
| @pabllovittar | 3,718,257 | Singer | Music, Fashion, LGBTQ+ |
| @rafaelportugal | 3,685,149 | Actor | Comedy, Music, Television |
| @AnselElgort | 3,125,378 | Actor | Actor, Music, Travel |
| @gshow | 2,563,475 | Entertainment | Farofa, Sol, Fogo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,389
Followers With Bio
44,607
Followers Without Bio
55.83%
% With Bio
44.17%
% 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 3,225 analyzed1,106,339
Combined Engagement
186,189
Total Likes
920,150
Total Retweets
221,268
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @neymarjr: Desconectado ! Não to legal pra ficar aqui não desculpa pessoal ! Volto mais tarde
aconteceu: me arrumei para um evento que foi no dia anterior https://t.co/2RHn6z9cLz
SIMPLESMENTE NÃO PARECE QUE O NATAL É SEMANA QUE VEM
RT @realDonaldTrump: STOP THE COUNT!
Key Insights & Takeaways
The user frequently shares relatable and humorous content that resonates with their audience. They often reference popular culture and viral moments to engage followers. Their tweets are concise and focus on emotional or funny reactions to everyday situations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 224,187
- + 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 @thaisdamaso reveals an well-established Twitter presence with 224,187 followers. The account demonstrates a content-creator strategy, averaging 934.8 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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