caroline trentini
mother/wife/daughter/sister
79,569
Followers
224
Following
2,734
Tweets
17.5
Avg Engagement
218
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @trentinireal'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:2011-04-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,722
- Avg Likes per Tweet:8.7
- Avg Retweets per Tweet:8.8
- Followers Analyzed:10,999
Engagement Analysis
Based on 2,722 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The consistent use of visual links suggests a strategy to drive traffic and maintain viewer interest.
8.7
Avg Likes/Tweet
8.8
Avg Retweets/Tweet
23,603
Total Likes
24,068
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
4
75th Percentile
15,284
Top Tweet
0.22
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
64.2%
Original
24.9%
Replies
10.1%
Retweets
0.8%
Quotes
0.0%
Threads
0.8%
With Media
59.4%
With Links
25.8%
With #Tags
57.6%
With @Mentions
32.8%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,722 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 276 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 2,722 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 10,999 followersHer audience appears to be interested in fashion, beauty, and lifestyle content, with a particular interest in high-profile events and collaborations. The use of hashtags and mentions indicates a focus on engagement and community building.
Below Average
Audience Quality
36.9%
Suspicion Index
45.9%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.5%
Empty Bio
52.5%
<10 Tweets
14.6%
Mass Following (>2K)
0.0%
New (<90 days)
72.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
40.3%
<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.
39,455,313
Total Potential Reach
9
Median Follower Reach
75
75th Percentile Reach
3.3%
>1K followers
0.7%
>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).
29.0%
Creators
3,192 accounts
18.5%
Consumers
2,033 accounts
52.5%
Dormant
5,774 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):
35
Verified Followers
0.32% of total
1,459
Protected Accounts
13.26% of total
4 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 |
|---|---|---|---|
| @JohnCena | 14,097,422 | Wrestler | Wrestling, Motivation, Self-promotion |
| @IzaReal | 5,188,381 | Singer | Music, Singer, Songwriter |
| @rafaelportugal | 3,677,195 | Actor | Comedy, Music, Television |
| @IngridGuimaraes | 2,594,330 | Actress | Motherhood, Acting, Comedy |
| @funder | 1,114,537 | Journalist | Politics, Journalism, Music |
| @vaidesmaiar | 944,240 | Influencer | Reality TV, Humor, Influencer |
| @fefemotta | 658,719 | - | - |
| @FashionCanada | 644,573 | Fashion Editor | Fashion, Style, Trends |
| @Dantinhas | 586,299 | TV Commentator | TV, humor, commentary |
| @KaylaKayden | 565,562 | Adult entertainer | xxx content, OnlyFans, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,335
Followers With Bio
5,664
Followers Without Bio
48.5%
% With Bio
51.5%
% 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 2,722 analyzed31,615
Combined Engagement
14,003
Total Likes
17,612
Total Retweets
6,323
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @BillGates: Melinda and I extend our sincere condolences to Steve Jobs’ family & friends. The world rarely sees someone who made such a profound impact.
#MetGala ready ✨ https://t.co/Vn89i55AC4
De hoje no @spfw com @iampauloandre para #misci. @way_model 👊🏼✨ https://t.co/zrjU76QnKH
eu tava com saudade de você, @spfw! misci 🤍✨ https://t.co/roiLtGR9zq
RT @cnnbrk: Same-sex marriage is to become legal in Maine, Maryland, CNN projects. #CNNElection http://t.co/Z7bkFuLd
Key Insights & Takeaways
She frequently collaborates with brands and influencers, which likely drives her engagement and follower growth. Her content is visually driven, with a focus on aesthetics and event coverage. She uses hashtags and mentions to increase visibility and foster community interaction.
Strengths
- + Established follower base of 79,569
- + 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 @trentinireal reveals an growing Twitter presence with 79,569 followers. The account demonstrates a content-creator strategy, averaging 17.5 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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