116,804
Followers
486
Following
2,553
Tweets
4,781.3
Avg Engagement
385
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kelseyplum10'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:2016-04-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,443
- Avg Likes per Tweet:266.0
- Avg Retweets per Tweet:4,515.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,443 tweetsThe account has strong engagement metrics, with high average likes and retweets, suggesting a loyal and active audience. The top tweets often include humor, personal requests, and motivational messages, which likely drive interaction.
266.0
Avg Likes/Tweet
4,515.3
Avg Retweets/Tweet
649,766
Total Likes
11,030,849
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
40
Median Retweets
730
75th Percentile
723,332
Top Tweet
40.93
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
11.2%
Original
13.3%
Replies
59.7%
Retweets
15.8%
Quotes
0.0%
Threads
0.5%
With Media
63.2%
With Links
25.2%
With #Tags
81.0%
With @Mentions
45.2%
With Emojis
110
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.19
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,443 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 1,459 retweets (60% 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 2,443 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 followersThe audience appears to be a mix of sports fans, particularly of the Las Vegas Aces, and general social media users interested in personal stories and interactions. The content seems to resonate with a younger demographic due to the casual and relatable tone.
Good
Audience Quality
19.4%
Suspicion Index
23.6%
Low-Quality %
89
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.9%
Empty Bio
14.2%
<10 Tweets
14.1%
Mass Following (>2K)
0.0%
New (<90 days)
40.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.6%
No URL
9.2%
<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.
8,330,878
Total Potential Reach
89
Median Follower Reach
276
75th Percentile Reach
6.4%
>1K followers
0.9%
>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).
71.3%
Creators
7,134 accounts
14.5%
Consumers
1,447 accounts
14.2%
Dormant
1,419 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):
132
Verified Followers
1.32% of total
1,328
Protected Accounts
13.28% of total
7 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 |
|---|---|---|---|
| @JCrossover | 1,649,876 | Basketball Player | Basketball, Identity, Love |
| @diannaESPN | 293,952 | - | - |
| @malika_andrews | 274,136 | Journalist | NBA, Journalism, Oakland |
| @AmberTheoharis | 271,973 | Sports Broadcaster | Football, Emmy, NFL |
| @KryssyLaReina | 180,510 | Influencer | Sports, Music, True Crime |
| @wyche89 | 144,819 | Sports Journalist | NFL, Howard U, Love Peace Soul |
| @MichaelRyanRuiz | 143,943 | Producer | Miami Heat, Miami Hurricanes, Cleveland Browns |
| @ArlanWasHere | 127,228 | Venture Capitalist | Venture Capital, Diversity, Entrepreneurship |
| @PeypeySiva3 | 106,926 | Athlete | Jesus, basketball, business |
| @mckinneykelsey | 93,745 | Writer | writing, media, books |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,207
Followers With Bio
3,793
Followers Without Bio
62.07%
% With Bio
37.93%
% 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 2,443 analyzed1,920,465
Combined Engagement
0
Total Likes
1,920,465
Total Retweets
384,093
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @gnuman1979: Quarantine day 6. https://t.co/er652Oy3Ki
RT @earthygissel: his father left when he was 12, now he has a YT channel called “Dad, how do I?” to help kids who’re growing up without dads. teaching them basic tasks that you’d usually ask your dad for help on. this is the purest thing 😭 https://t.co/JMKXM541xd
RT @jadoregeorgia: FUND THIS. FUND HER. FUND INITIATIVES THAT AIM TO TACKLE CLIMATE CHANGE. FUND WOMEN IN SCIENCE https://t.co/3dSwWmVQco
RT @briantylercohen: Holy shit. Katie Porter holds the CDC Director's feet to the fire and gets him to commit to FREE TESTING for coronavirus for ALL AMERICANS. Watch every second of this. https://t.co/dQMbhR5Oaa
RT @jk_rowling: Hell of a day for the President to forget how to tweet. https://t.co/ABffmwwH8D
Key Insights & Takeaways
The user frequently shares personal and humorous content, which likely contributes to high engagement. They often include links in their tweets, possibly for additional context or to direct followers to external content. The account is associated with the Las Vegas Aces, suggesting a focus on sports and community engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 116,804
- + 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 @Kelseyplum10 reveals an exceptionally influential Twitter presence with 116,804 followers. The account demonstrates a conversation-first approach, averaging 4,781.3 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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