687,965
Followers
584
Following
2,316
Tweets
2,119.8
Avg Engagement
194
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @liljarviss'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:2019-03-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,177
- Avg Likes per Tweet:1,796.8
- Avg Retweets per Tweet:323.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,177 tweetsliljarviss consistently receives high engagement, with an average of 87k likes and 3k retweets per tweet, indicating strong audience interaction. Their content is highly shareable and resonates well with followers.
1,796.8
Avg Likes/Tweet
323.0
Avg Retweets/Tweet
3,911,570
Total Likes
703,202
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
249
Median Likes
3
Median Retweets
1,007
75th Percentile
520,921
Top Tweet
3.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
20.0%
Original
72.5%
Replies
4.0%
Retweets
3.5%
Quotes
0.0%
Threads
0.0%
With Media
15.4%
With Links
2.5%
With #Tags
77.7%
With @Mentions
28.3%
With Emojis
42
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.63
Reply/Original Ratio
0.87
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,177 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 87 retweets (4% 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 2,177 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 young adults and teenagers who enjoy relatable, humorous, and emotionally expressive content. They are likely interested in pop culture, personal achievements, and visual storytelling.
Average
Audience Quality
34.6%
Suspicion Index
40.1%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.9%
Empty Bio
51.5%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
80.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.4%
No URL
33.3%
<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.
14,992,180
Total Potential Reach
4
Median Follower Reach
17
75th Percentile Reach
1.2%
>1K followers
0.2%
>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).
20.6%
Creators
10,280 accounts
27.9%
Consumers
13,950 accounts
51.5%
Dormant
25,770 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):
350
Verified Followers
0.35% of total
6,322
Protected Accounts
6.32% of total
2 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 | 14,105,028 | Wrestler | Wrestling, Motivation, Self-promotion |
| @McDonalds | 4,767,632 | Fast Food | Fast Food, Grimace, Friendship |
| @taylorcaniff | 2,452,178 | Influencer | Business, OnlyFans, Inquiry |
| @AlissaViolet | 2,426,442 | Influencer | Fashion, Beauty, Travel |
| @Idubbbz | 1,368,475 | YouTuber | boy, boxer, mullet |
| @unusual_whales | 1,285,839 | Finance Trading | Stocks, Options, Crypto |
| @AlexWassabi | 1,223,628 | YouTuber | vlogging, comedy, positivity |
| @KentMoran | 582,253 | Actor/Filmmaker | Acting, Filmmaking, Singing |
| @IamMzilikazi | 545,794 | Musician | Pan-African music, Album, Rise |
| @OvOBrezzzy | 473,349 | Influencer | Music, Fashion, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,228
Followers With Bio
44,772
Followers Without Bio
55.23%
% With Bio
44.77%
% 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 2,177 analyzed1,076,393
Combined Engagement
539,548
Total Likes
536,845
Total Retweets
215,279
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @m_d_mccoy: George Floyd and I were both arrested for allegedly spending a counterfeit $20 bill. For George Floyd, a man my age, with tw…
WHAT DID I SAY
THIS PICTURE SAYS IT ALL https://t.co/p8rPkOoa7F
I really went from 😭 to 🏆 https://t.co/Jw0zmhKjh3
LETS FUCKING GOOO https://t.co/IhUP7Ypv6U
Key Insights & Takeaways
Their content often blends humor with personal milestones, creating an emotional connection with followers. Visual elements like images and links are frequently used to enhance engagement. They maintain a high level of interaction, suggesting a loyal and active audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 687,965
- + High community engagement through conversations
- + 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 @liljarviss reveals an exceptionally influential Twitter presence with 687,965 followers. The account demonstrates a conversation-first approach, averaging 2,119.8 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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