Kaitlyn
Personal account of @amouranth Founder of @itsrealwork a company helping creators earn their worth
681,890
Followers
89
Following
7,642
Tweets
1,683.1
Avg Engagement
624
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @wildkait'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:2019-11-19
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:1,253.4
- Avg Retweets per Tweet:429.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsWildkait's tweets typically receive high engagement, with an average of 16k likes and 425 retweets. She frequently interacts with notable figures and her community.
1,253.4
Avg Likes/Tweet
429.7
Avg Retweets/Tweet
626,707
Total Likes
214,850
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
94
Median Retweets
1,668
75th Percentile
22,008
Top Tweet
2.47
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
22.8%
Original
27.6%
Replies
39.0%
Retweets
10.6%
Quotes
0.0%
Threads
0.4%
With Media
68.8%
With Links
1.0%
With #Tags
60.0%
With @Mentions
20.4%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.21
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 195 retweets (39% 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 500 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 includes creators, entrepreneurs, and fans of her personal brand. They are likely interested in content creation, business growth, and entertainment.
Average
Audience Quality
34.9%
Suspicion Index
50.9%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.3%
Empty Bio
49.6%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
63.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
38.5%
<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.
26,355,907
Total Potential Reach
25
Median Follower Reach
68
75th Percentile Reach
2.1%
>1K followers
0.5%
>10K followers
0.2%
>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).
31.4%
Creators
15,713 accounts
19.0%
Consumers
9,485 accounts
49.6%
Dormant
24,802 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):
569
Verified Followers
0.57% of total
14,646
Protected Accounts
14.65% 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 |
|---|---|---|---|
| @CrankGameplays | 1,332,486 | - | - |
| @BunnyAyu | 1,193,758 | Influencer | Gaming, V-Tuber, Gfuel |
| @x_summers | 1,157,788 | Adult entertainer | Horny, British, Curvy |
| @brandi_love | 1,088,921 | Pornstar | Conservative, Pornstar, Writing |
| @omghelayna | 968,637 | - | - |
| @CDawgVA | 891,244 | Voice Actor | Voice Acting, YouTube, Streaming |
| @subgirl0831 | 844,493 | Content Creator | Buffalo Bills, Gym, Twitch |
| @ri_care | 797,464 | Influencer | girls, cool, free pages |
| @LizKatzOfficial | 784,197 | Cosplayer | Cosplay, Gaming, Acting |
| @CTYP_TH | 741,273 | Sex creator | Sex, creator, Thailand |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,198
Followers With Bio
61,802
Followers Without Bio
38.2%
% With Bio
61.8%
% 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 500 analyzed100,480
Combined Engagement
98,101
Total Likes
2,379
Total Retweets
20,096
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Christmas came early: https://t.co/KaIVMMagLf https://t.co/n87PzhPFf8
So @elonmusk do you think we can get a job at @SpaceX?? https://t.co/IEXykRtXyi
Met the Juice https://t.co/REtz4Jvpab
Secret trip to Las Vegas, IRL STREAM NOW! https://t.co/CevyXoGLOr https://t.co/LoX464nxvi
While I was on the boxing press conference Monday— my team notified me that my stalker from last year (the one from Estonia) was back and was trying to break in again. He started by trying to sneak in behind one of my house staff — but had the door shut in his face. He then ht
Key Insights & Takeaways
She leverages her personal brand to build credibility and connection with her audience Her content often highlights her role as a founder and advocate for creators She uses humor and relatability to maintain engagement and authenticity
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 681,890
- + 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 @wildkait reveals an exceptionally influential Twitter presence with 681,890 followers. The account demonstrates a conversation-first approach, averaging 1,683.1 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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