3:14
Pre-Save “Ridin” out at MIDNIGHT 🔥………. fix your crown doll NOW FINISH WINNING👸🏾
1,445,325
Followers
429
Following
184,146
Tweets
960.3
Avg Engagement
701
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kashdoll'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:2010-12-12
- Verification:No
- Location:Detroit, MI
Data Summary
- Tweets Analyzed:3,102
- Avg Likes per Tweet:692.1
- Avg Retweets per Tweet:268.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,102 tweetsTheir tweets consistently receive high engagement, with an average of 51,000 likes and 10,000 retweets per post.
692.1
Avg Likes/Tweet
268.2
Avg Retweets/Tweet
2,146,985
Total Likes
831,848
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
71
75th Percentile
76,221
Top Tweet
0.66
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
15.3%
Original
1.5%
Replies
72.6%
Retweets
10.5%
Quotes
0.0%
Threads
0.1%
With Media
27.3%
With Links
6.2%
With #Tags
74.5%
With @Mentions
36.2%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,102 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 2,253 retweets (73% 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 3,102 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 young adults and teenagers interested in lifestyle, relationships, and viral trends.
Below Average
Audience Quality
35.3%
Suspicion Index
50.7%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.9%
Empty Bio
55.6%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
67.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
42.5%
<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.
11,425,057
Total Potential Reach
7
Median Follower Reach
42
75th Percentile Reach
2.6%
>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).
24.2%
Creators
12,088 accounts
20.2%
Consumers
10,092 accounts
55.6%
Dormant
27,820 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):
368
Verified Followers
0.37% of total
10,541
Protected Accounts
10.54% 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 | 14,105,317 | Wrestler | Wrestling, Motivation, Self-promotion |
| @bouska | 841,102 | Fashion Photographer | Fashion, Photography, Activism |
| @ZachBoychuk | 830,058 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @TayeDiggs | 648,105 | Actor | acting, chocolate, hosting |
| @iamjennashea | 643,800 | Adult Entertainer | Fans, Money, Shooting |
| @livewithnoregrt | 495,832 | Unknown | introvert, rip dad, black heart |
| @l_monyelle | 381,722 | - | - |
| @Gimoneyy071 | 321,492 | Influencer | Y.N.A.F, Bi, College |
| @LNXsuk4YTSbi0Mp | 290,791 | Unknown | Noor Ahmed, Travel, Food, Fashion |
| @wernikalam | 264,470 | Adult Film Actor | Falcon, Belami, Lucas entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,899
Followers With Bio
52,101
Followers Without Bio
47.9%
% With Bio
52.1%
% 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 3,102 analyzed330,771
Combined Engagement
288,154
Total Likes
42,617
Total Retweets
66,154
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Rich Chocalate https://t.co/0h3J937x8K
My friend got married and i was a brides maid! https://t.co/vWMQ8OGNBK
2022 a different type of year for me… i owe myself too much
I want a daughter but how she’s gonna get here?
Imma mommy this Mother’s Day for the 1st time https://t.co/FI9VgoWHkl
Key Insights & Takeaways
kashdoll's content often blends personal experiences with broader themes of success and relationships. They frequently reference viral trends and popular culture to connect with their audience. Their use of emojis and hashtags suggests a focus on relatability and emotional appeal.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,445,325
- + 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 @kashdoll reveals an well-established Twitter presence with 1,445,325 followers. The account demonstrates a content-creator strategy, averaging 960.3 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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