Tigerlily
Party starter from Australia 💓
53,462
Followers
24,901
Following
11,787
Tweets
39.0
Avg Engagement
174
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djtigerlily'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:2012-06-05
- Verification:No
- Location:Sydney
Data Summary
- Tweets Analyzed:3,152
- Avg Likes per Tweet:21.4
- Avg Retweets per Tweet:17.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,152 tweetsTheir tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests a loyal and active follower base.
21.4
Avg Likes/Tweet
17.7
Avg Retweets/Tweet
67,388
Total Likes
55,674
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
4
Median Retweets
35
75th Percentile
8,688
Top Tweet
0.73
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
64.4%
Original
9.9%
Replies
25.3%
Retweets
0.4%
Quotes
0.0%
Threads
0.9%
With Media
75.3%
With Links
18.1%
With #Tags
49.3%
With @Mentions
45.2%
With Emojis
96
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.4%
Weekday Posts
26.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,152 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 796 retweets (25% 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 3,152 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 10,000 followersTheir audience includes fans of pop culture, celebrities, and those interested in flirtatious and lighthearted content. They also engage with a broad range of public figures and influencers.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.6%
No URL
100.0%
<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.
33,904,321
Total Potential Reach
9
Median Follower Reach
85
75th Percentile Reach
5.1%
>1K followers
1.2%
>10K followers
0.5%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
971
Protected Accounts
9.71% 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 | 14,096,132 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JVCKJ | 5,352,233 | Musician | Music, Pastel, Basketball |
| @JDaIey | 1,243,855 | - | - |
| @peta | 1,070,605 | Animal rights | Animal rights, Veganism, Activism |
| @CSuiteConfess | 985,666 | Executive Coach | #MeToo, Executives, Navigating |
| @ZachBoychuk | 823,859 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @larrykim | 724,380 | Entrepreneur | Startups, AdWords, Chatbots |
| @DJTayJames | 637,706 | DJ | Music, DJing, Entertainment |
| @jenarovillamil | 634,613 | Periodista | journalism, writing, public broadcasting |
| @Weinbach | 372,493 | Sports Commentator | Basketball, Sports, Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,698
Followers With Bio
4,302
Followers Without Bio
56.98%
% With Bio
43.02%
% 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 3,152 analyzed27,103
Combined Engagement
0
Total Likes
27,103
Total Retweets
5,421
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @DalaiLama: Physical comfort alone does not bring inner peace. We create inner peace within the mind.
RT @DalaiLama: The distinction between violence and non-violence lies less in the nature of the action and more in the motivation with which it is done.
RT @DalaiLama: Just as cold is dispelled by heat, its opposite, anger and loving-kindness counter one another.
RT @flumemusic: What is life ??!?? Thank you all 🙏 #GRAMMYs https://t.co/mBUWFS38RW
RT @booyouwhores: HELP A BROTHER OUT I NEED 10K RT's BY SATURDAY!!!!!! SOS https://t.co/jDBV1D3OeZ
Key Insights & Takeaways
They frequently interact with celebrities like Fedez and Justin Bieber, showing a preference for pop culture and celebrity news. Their content often includes flirtatious and emotional expressions, indicating a focus on personal and romantic themes. They maintain a casual and fun tone, which likely contributes to their high engagement rates.
Strengths
- + Established follower base of 53,462
- + 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 @djtigerlily reveals an growing Twitter presence with 53,462 followers. The account demonstrates a content-creator strategy, averaging 39.0 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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