DAY LIMNS
VÊNUS≠netuno ♡Ψ
258,212
Followers
3,391
Following
63,964
Tweets
1,223.5
Avg Engagement
186
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @daylimns'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:2013-12-23
- Verification:No
- Location:Sao Paulo, Brazil
Data Summary
- Tweets Analyzed:3,091
- Avg Likes per Tweet:471.3
- Avg Retweets per Tweet:752.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,091 tweetsThe account has a high average engagement rate with likes and retweets, suggesting a loyal and active follower base. The content is well-received and shared frequently.
471.3
Avg Likes/Tweet
752.2
Avg Retweets/Tweet
1,456,803
Total Likes
2,325,071
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
275
Median Likes
19
Median Retweets
652
75th Percentile
433,421
Top Tweet
4.74
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
41.2%
Original
28.0%
Replies
13.2%
Retweets
17.6%
Quotes
0.0%
Threads
0.0%
With Media
43.7%
With Links
2.6%
With #Tags
42.9%
With @Mentions
21.4%
With Emojis
58
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.68
Reply/Original Ratio
1.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.1%
Weekday Posts
23.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,091 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 408 retweets (13% 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 3,091 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 primarily Brazilian, with a focus on fans of celebrities like Avril Lavigne and other entertainment figures. The content is likely aimed at younger, entertainment-savvy followers.
Average
Audience Quality
20.9%
Suspicion Index
24.5%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.9%
Empty Bio
27.2%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
47.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.7%
No URL
19.1%
<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.
70,845,194
Total Potential Reach
24
Median Follower Reach
121
75th Percentile Reach
5.0%
>1K followers
0.4%
>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).
54.5%
Creators
27,267 accounts
18.3%
Consumers
9,137 accounts
27.2%
Dormant
13,596 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):
59
Verified Followers
0.06% of total
22,488
Protected Accounts
22.27% 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 |
|---|---|---|---|
| @ClaudiaLeitte | 14,505,982 | Singer | Music, Collaboration, Entertainment |
| @Pitty | 8,711,079 | Singer | music, singer, songwriter |
| @MariliaMReal | 8,559,190 | Singer | music, royal decrees, marília mendonça |
| @multishow | 7,459,388 | Entertainment | Entertainment, Music, TV |
| @juliette | 6,035,063 | Dancer | Dancing, Tired, Watching |
| @luisasonza | 5,110,553 | Singer | music, singing, songwriting |
| @xamaoficial | 5,022,173 | Musician | Astrology, Music, Love |
| @rafauccman | 4,512,776 | Unknown | Generic phrases, complaints |
| @pabllovittar | 3,718,019 | Singer | Music, Fashion, LGBTQ+ |
| @Pocah | 3,235,335 | Singer | music, entrepreneurship, motherhood |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
72,463
Followers With Bio
28,536
Followers Without Bio
71.75%
% With Bio
28.25%
% 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 3,091 analyzed1,288,019
Combined Engagement
0
Total Likes
1,288,019
Total Retweets
257,604
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @LulaOficial: Democracia. https://t.co/zvnBbnQ3HG
RT @taylorswift13: Midnights, the stories of 13 sleepless nights scattered throughout my life, will be out October 21. Meet me at midnight.…
RT @karlarod_: https://t.co/VYSiHieeDh
RT @taylorswift13: Here’s the teaser trailer for the videos I’ve made for Midnights 🌌 Thank you @amazonmusic for premiering this, the first…
RT @gabiefernandes: “Daqui a pouco vcs vão reclamar do lula” que bom poder reclamar do presidente sem temer a própria vida, que bom ter o…
Key Insights & Takeaways
The user frequently promotes events and celebrity appearances, which likely drives engagement. They use emojis and expressive language to create a more personal and emotional connection with followers. Collaborations with other influencers or celebrities, such as @maisa, may help boost visibility and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 258,212
- + 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 @daylimns reveals an exceptionally influential Twitter presence with 258,212 followers. The account demonstrates a content-creator strategy, averaging 1,223.5 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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