Kate Thorne
Personal Trainer katethornept@gmail.com
98,330
Followers
1,776
Following
11,495
Tweets
99.4
Avg Engagement
60
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Misskthorne'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:2012-12-19
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:3,133
- Avg Likes per Tweet:22.0
- Avg Retweets per Tweet:77.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,133 tweetsHer tweets consistently receive high engagement, indicating a strong connection with her followers.
22.0
Avg Likes/Tweet
77.4
Avg Retweets/Tweet
68,783
Total Likes
242,650
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
23
75th Percentile
193,541
Top Tweet
1.01
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
58.7%
Original
22.9%
Replies
17.0%
Retweets
1.4%
Quotes
0.0%
Threads
0.3%
With Media
41.4%
With Links
16.6%
With #Tags
60.8%
With @Mentions
62.5%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,133 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 534 retweets (17% 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 3,133 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 followersHer audience appears to be interested in fitness and entertainment, with a focus on humor and relatability.
Average
Audience Quality
25.1%
Suspicion Index
33.9%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.3%
Empty Bio
28.6%
<10 Tweets
13.6%
Mass Following (>2K)
0.0%
New (<90 days)
44.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
18.6%
<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.
26,233,455
Total Potential Reach
59
Median Follower Reach
232
75th Percentile Reach
6.8%
>1K followers
2.1%
>10K followers
0.7%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
47.3%
Creators
4,730 accounts
24.1%
Consumers
2,415 accounts
28.6%
Dormant
2,855 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):
27
Verified Followers
0.27% of total
1,578
Protected Accounts
15.78% of total
9 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 |
|---|---|---|---|
| @THEBEAT999FM | 2,394,806 | Radio Host | Entertainment, News, Sports |
| @6BillionPeople | 2,025,512 | - | - |
| @professorgreen | 1,657,214 | Musician | Music, Food, Philosophy |
| @JenSelter | 1,234,644 | Fitness influencer | Fitness, Health, Recipes |
| @LeBronJames | 994,449 | - | - |
| @DannyO | 587,086 | Entrepreneur | Prizes, Win, Paradise |
| @KerryKatona7 | 467,797 | Influencer | Family, Entertainment, Personalized Videos |
| @djkingassassin | 467,306 | DJ | Music, Club, Producer |
| @jnob911 | 433,117 | - | - |
| @CraigDavid | 392,320 | Musician | Music, Good vibes, Positive energy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,072
Followers With Bio
4,928
Followers Without Bio
50.72%
% With Bio
49.28%
% 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 3,133 analyzed235,394
Combined Engagement
10,292
Total Likes
225,102
Total Retweets
47,079
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @JuiceHarden: Just wanted to share the craziest shit I seen/heard today https://t.co/cnpDZNmEsc
RT @ParisHilton: My dogs live in this two-story doggy mansion that has air conditioning, heating, designer furniture, and a chandelier. Loves it https://t.co/4dXAf5XPXV
I’d actually drop kick her 😷 https://t.co/mB2vzWSHZQ
So many girls are going to be going to bed tonight thinking " told you I wasn't a psycho " Megan you have made us look real calm👯👯👯😂😂😂
RT @SupervetNF: No matter what shape, size, colour, type, whatever… all dogs are beautiful! Retweet if you agree! #supervet
Key Insights & Takeaways
She uses humor and pop culture references to connect with her audience. Her content often includes playful and sarcastic commentary on public figures. She maintains a casual and approachable tone in her interactions.
Strengths
- + Established follower base of 98,330
- + 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 @Misskthorne reveals an growing Twitter presence with 98,330 followers. The account demonstrates a content-creator strategy, averaging 99.4 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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