Kendra Lust™
Cat has my tongue I guess…
1.544.248
Followers
4.382
Following
244.368
Tweets
343,6
Avg Engagement
3.850
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KendraLust'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: Mega Influencer (1M+)
- Account Age:2011-11-09
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3.202
- Avg Likes per Tweet:292,3
- Avg Retweets per Tweet:51,3
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.202 tweetsHer tweets typically receive high engagement, with an average of 19,912 likes and 1,329 retweets per post.
292,3
Avg Likes/Tweet
51,3
Avg Retweets/Tweet
935.933
Total Likes
164.360
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
24
75th Percentile
37.738
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
Conversationalist
Highly engaged in discussions
7,5%
Original
54,4%
Replies
37,4%
Retweets
0,7%
Quotes
0,0%
Threads
0,8%
With Media
21,0%
With Links
19,5%
With #Tags
95,0%
With @Mentions
60,3%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7,22
Reply/Original Ratio
0,02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77,1%
Weekday Posts
22,9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.202 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 1.199 retweets (37% 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 3.202 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 audience appears to be diverse, with a strong presence of younger demographics interested in entertainment and lifestyle content.
Average
Audience Quality
32,9%
Suspicion Index
51,6%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62,7%
Empty Bio
53,2%
<10 Tweets
5,2%
Mass Following (>2K)
0,0%
New (<90 days)
55,9%
Low Ratio (<0.1)
0,0%
New (<180 days)
95,5%
No URL
40,6%
<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.
20.331.628
Total Potential Reach
15
Median Follower Reach
41
75th Percentile Reach
1,5%
>1K followers
0,3%
>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).
25,8%
Creators
12.902 accounts
21,0%
Consumers
10.496 accounts
53,2%
Dormant
26.602 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):
276
Verified Followers
0.28% of total
17.384
Protected Accounts
17.38% 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 |
|---|---|---|---|
| @MarceloTas | 9.130.522 | Influencer | - |
| @SleepSkee | 711.482 | Musician | Music, Independent, Artist |
| @Resmi_R_Nair | 664.317 | Model | Fashion, Modeling, Beauty |
| @ReneesRealm | 545.458 | Influencer | Anime, Waifu, Personal |
| @Zairamattos | 507.209 | Adult Content Creator | Romantic, Adult videos, Versatile |
| @VALERiCAx | 479.708 | Adult Entertainer | sloppy toppy, squirt, succubus |
| @TheRoxieSinner | 437.355 | Adult Entertainer | Dancing, Syrian, Modeling |
| @babygirlnoell | 419.294 | Adult entertainer | OnlyFans, Content Creator, Website |
| @xAIDRAFOXx | 416.019 | Adult entertainer | Adult, Awards, Fun |
| @TheReaganFoxx | 413.672 | Adult Actress | Adult films, Award-winning, East Coast Talent |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34.430
Followers With Bio
65.570
Followers Without Bio
34.43%
% With Bio
65.57%
% 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 3.202 analyzed121.224
Combined Engagement
94.820
Total Likes
26.404
Total Retweets
24.245
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
India 🇮🇳 #BiharRailwayStation https://t.co/R2Mxfbfarc
#HumpDay can be fun 🙌🏻 #WCW https://t.co/tAtIrIsu76
#FridayFeeling wanna feel ? https://t.co/V7CwiTmQ1A
India 🇮🇳 #BiharRailwayStation https://t.co/IJ4o1VzWYb
RT @BindiIrwin: Sharing my journey. 🙏🏼 https://t.co/0oKiLlHyOb
Key Insights & Takeaways
She often shares content related to travel and cultural experiences, which resonates well with her audience. Her use of hashtags and links suggests a strategy to increase visibility and drive traffic to external content. She maintains a consistent posting schedule, which helps in keeping her audience engaged and informed.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.544.248
- + 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 @KendraLust reveals an well-established Twitter presence with 1.544.248 followers. The account demonstrates a conversation-first approach, averaging 343,6 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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