Sophia Abrahão 🍭
2,612,022
Followers
397
Following
76,066
Tweets
426.5
Avg Engagement
8,097
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sophiaabrahao'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:2009-07-16
- Verification:No
- Location:Brasil
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:391.2
- Avg Retweets per Tweet:35.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is largely driven by her participation in TV shows and humorous content.
391.2
Avg Likes/Tweet
35.3
Avg Retweets/Tweet
1,270,295
Total Likes
114,497
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
3
Median Retweets
70
75th Percentile
124,181
Top Tweet
0.16
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
41.6%
Original
0.2%
Replies
3.4%
Retweets
54.7%
Quotes
0.0%
Threads
0.2%
With Media
75.9%
With Links
13.0%
With #Tags
6.2%
With @Mentions
37.4%
With Emojis
53
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
16.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.4%
Weekday Posts
18.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 111 retweets (3% 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 3,247 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 is primarily young adults interested in reality TV and social media trends. The majority of her followers are from Brazil, given her popularity in the country.
Average
Audience Quality
33.2%
Suspicion Index
39.9%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.1%
Empty Bio
50.4%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
74.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
36.7%
<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.
23,136,239
Total Potential Reach
4
Median Follower Reach
34
75th Percentile Reach
2.9%
>1K followers
0.2%
>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).
28.9%
Creators
14,427 accounts
20.8%
Consumers
10,395 accounts
50.4%
Dormant
25,178 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):
104
Verified Followers
0.1% of total
11,594
Protected Accounts
11.48% of total
3 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 |
|---|---|---|---|
| @FeCastanhari | 7,521,360 | - | - |
| @igorcavalari | 1,620,175 | - | - |
| @marigonzalez | 1,525,204 | Sales | business, marketing, communication |
| @SinghLions | 1,335,414 | Restaurateur | Food, Travel, Influencer |
| @miticojovem | 1,082,110 | Influencer | Otávio Mesquita, Fã, Mitico |
| @simasrodrigo | 1,010,294 | Actor | Family, Travel, Fitness |
| @centralreality | 905,823 | Entertainment News | Reality TV, News, Big Brother |
| @unkonfined | 657,651 | Influencer | - |
| @universitariia | 605,832 | - | - |
| @IamMzilikazi | 543,023 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,826
Followers With Bio
39,172
Followers Without Bio
61.22%
% With Bio
38.78%
% 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 3,247 analyzed507,381
Combined Engagement
469,296
Total Likes
38,085
Total Retweets
101,476
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Jade vai ter 2 respostas na terça, né? 😂🤭 #BBB22
ridícula https://t.co/OeRpUwHZXs
NOOOOSSA, que isso MARIAAAA???? ridícula! precisava desse murro na cabeça do Arthur? #BBB22
foco no @gshow galera! fica Arthur, fica Douglas 👊🏻
a mãe tá on pro paredão 🔥 #BBB22 https://t.co/wEdowqf5nj
Key Insights & Takeaways
Her content is heavily influenced by her reality TV appearances and social media trends. She uses humor and relatable content to engage her audience. Her tweets often include hashtags related to TV shows and current events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,612,022
- + 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 @sophiaabrahao reveals an well-established Twitter presence with 2,612,022 followers. The account demonstrates a content-creator strategy, averaging 426.5 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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