Carolina De Oliveira
🇧🇷#TVPresenter| #Actress |@Mbc_group | #alarabyia | #media_trainer | #mentalhealth spokesperson | #Jesus | 1 of the 100 influential females in z world by @BBC
210,565
Followers
826
Following
16,406
Tweets
164.6
Avg Engagement
156
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @carolinadolivra'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:2009-04-19
- Verification:No
- Location:Beirut
Data Summary
- Tweets Analyzed:3,144
- Avg Likes per Tweet:8.8
- Avg Retweets per Tweet:155.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,144 tweetsHer tweets generally receive moderate engagement, with likes and retweets averaging around 376 and 82 respectively. This suggests a loyal but not highly interactive audience.
8.8
Avg Likes/Tweet
155.8
Avg Retweets/Tweet
27,687
Total Likes
489,735
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
12
75th Percentile
331,486
Top Tweet
0.78
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
55.4%
Original
20.8%
Replies
17.5%
Retweets
6.3%
Quotes
0.0%
Threads
0.6%
With Media
54.6%
With Links
28.1%
With #Tags
44.0%
With @Mentions
18.5%
With Emojis
95
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,144 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 549 retweets (17% 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 3,144 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 followers are likely interested in entertainment, media, and personal development. They may also be drawn to her advocacy work and spiritual beliefs.
Below Average
Audience Quality
38.7%
Suspicion Index
59.9%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.7%
Empty Bio
61.7%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
66.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
44.2%
<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.
44,357,588
Total Potential Reach
7
Median Follower Reach
36
75th Percentile Reach
1.6%
>1K followers
0.3%
>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).
17.2%
Creators
8,624 accounts
21.1%
Consumers
10,546 accounts
61.7%
Dormant
30,830 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):
64
Verified Followers
0.06% of total
5,554
Protected Accounts
5.55% of total
9 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 |
|---|---|---|---|
| @AhlamAlShamsi | 9,030,736 | Singer | Music, Emirati culture, Instagram |
| @midoahm | 5,546,296 | Entrepreneur | Dogs, Father, Founder |
| @factsionary | 5,281,012 | - | - |
| @waelkfoury | 3,435,882 | Singer | Music, Lebanon, Singer |
| @benlandis | 2,847,987 | - | - |
| @AymanNour | 2,643,315 | Politician | Politics, Leadership, Presidential Candidate |
| @RealTouchingPic | 2,173,652 | Photographer | Photography, Storytelling, Animals |
| @etnow | 1,944,832 | Entertainment | Entertainment, ET, News |
| @AhmedSalahhosny | 1,568,530 | Actor | Actor, Musician, Egyptian |
| @shwood | 1,509,486 | Magician | Magic, Comedy, Conventions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
22,462
Followers With Bio
77,538
Followers Without Bio
22.46%
% With Bio
77.54%
% 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 3,144 analyzed427,675
Combined Engagement
0
Total Likes
427,675
Total Retweets
85,535
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @WoWFactz: Life is a journey http://t.co/jR7cB1dqvz
RT @hogrbe: Sooner or later there will be a ~M 7.5 #earthquake in this region (South-Central Turkey, Jordan, Syria, Lebanon). #deprem https…
RT @DalaiLama: There is a link between our physical and verbal actions and emotions. If, instead of anger, hatred and suspicion, we are mov…
RT @Pontifex: Fasting is not only about abstaining from food. It also means sharing food with those who are hungry.
RT @Pontifex: Our world needs a revolution of love! Let that revolution begin with you and your families!
Key Insights & Takeaways
She focuses on promoting positive role models and mental health awareness Her content often highlights beauty, grace, and spiritual values She leverages her platform to advocate for influential women and media training
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 210,565
- + 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 @carolinadolivra reveals an well-established Twitter presence with 210,565 followers. The account demonstrates a content-creator strategy, averaging 164.6 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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