STÉFANI
owner of 🎪 •
727,656
Followers
2,517
Following
22,753
Tweets
800.7
Avg Engagement
323
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stefanibays'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:2019-04-10
- Verification:No
- Location:São Paulo, Brasil
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:453.2
- Avg Retweets per Tweet:347.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,209 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is both personal and shareable, driving engagement.
453.2
Avg Likes/Tweet
347.5
Avg Retweets/Tweet
1,454,440
Total Likes
1,115,154
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
243
Median Likes
16
Median Retweets
626
75th Percentile
51,123
Top Tweet
1.1
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
45.8%
Original
35.2%
Replies
15.9%
Retweets
3.1%
Quotes
0.0%
Threads
0.0%
With Media
17.8%
With Links
2.6%
With #Tags
47.7%
With @Mentions
17.8%
With Emojis
67
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,209 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 511 retweets (16% 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 3,209 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 primary audience appears to be young adults, likely in their late teens to early 20s. The content is casual and conversational, appealing to a broad demographic.
Below Average
Audience Quality
43.0%
Suspicion Index
62.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.6%
Empty Bio
71.5%
<10 Tweets
3.3%
Mass Following (>2K)
0.0%
New (<90 days)
84.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.9%
No URL
58.0%
<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.
25,106,683
Total Potential Reach
2
Median Follower Reach
9
75th Percentile Reach
1.1%
>1K followers
0.1%
>10K followers
0.1%
>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).
13.0%
Creators
6,494 accounts
15.5%
Consumers
7,745 accounts
71.5%
Dormant
35,761 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):
52
Verified Followers
0.05% of total
8,762
Protected Accounts
8.76% of total
1 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 |
|---|---|---|---|
| @Privacidades | 7,890,296 | Influencer | Love, Thoughts, Original |
| @FilipeRet | 5,035,376 | Musician | Rico, bonito, cheiroso |
| @bilaraujjo | 1,418,563 | Influencer | Influencer, Life Style, Marketing |
| @eisincera | 1,359,626 | Influencer | humilde, sincera, contato |
| @bibitatto | 902,063 | Tattoo artist | tattoo, art, creativity |
| @nobru | 786,585 | Gamer | Gaming, Esports, Community |
| @raissabarbosar | 621,891 | Influencer | Fashion, Beauty, Lifestyle |
| @SouReferencias | 479,810 | Influencer | houses, daily posts, adult content |
| @vittorfernando | 462,654 | Actor | ator, trouxa, contato |
| @reidosoraculos | 435,639 | Astrologer | Astrology, Tarot, Consultations |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,881
Followers With Bio
60,119
Followers Without Bio
39.88%
% With Bio
60.12%
% 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 3,209 analyzed220,240
Combined Engagement
37,162
Total Likes
183,078
Total Retweets
44,048
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @novaestatazita: É SÉRIO GENTE, nunca, NUNCA, espere que as pessoas tenham a mesma consideração pela gente, pq elas não tem! E nunca pen…
Não desperdice seus 20 e poucos anos tentando achar o amor.
RT @rayanaric: Eu confiaria a minha vida nesse mlk blusa do freefire EU TENHO CTZ Q ELE RESOLVERIA https://t.co/1ovGUIBnvR
RT @xxcatrine: Não dá pra “mudar” alguém que não vê problema nas própria atitudes
RT @oronaldphotos: Oh Minha gente imagina se essa foto viralizar com um RT seu 🥺 https://t.co/TNnzRPk955
Key Insights & Takeaways
She uses humor and personal anecdotes to connect with her audience. Her content often reflects on life experiences and emotions. She maintains an authentic and relatable tone in her tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 727,656
- + 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 @stefanibays reveals an well-established Twitter presence with 727,656 followers. The account demonstrates a content-creator strategy, averaging 800.7 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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