Session Moth Martina🍻 マーティナセッション
Queen of Sesh Style, @ringofhonor Moth of Dishonour #fanciesmartina #OedoTai #IRISH 🇮🇪🇯🇵 🇺🇲🇦🇺🏴🏴🏴🇩🇪🇪🇸🇧🇪🇨🇦
54,541
Followers
2,072
Following
45,508
Tweets
87.1
Avg Engagement
170
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mothfromdaflats'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:2015-04-17
- Verification:No
- Location:The Flats
Data Summary
- Tweets Analyzed:3,210
- Avg Likes per Tweet:29.8
- Avg Retweets per Tweet:57.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,210 tweetsTheir tweets receive a moderate to high level of engagement, with an average of 1,680 likes and 105 retweets per tweet.
29.8
Avg Likes/Tweet
57.4
Avg Retweets/Tweet
95,549
Total Likes
184,123
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
24
75th Percentile
30,022
Top Tweet
1.6
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
11.7%
Original
9.4%
Replies
64.1%
Retweets
14.8%
Quotes
0.0%
Threads
2.0%
With Media
79.8%
With Links
20.6%
With #Tags
81.6%
With @Mentions
47.2%
With Emojis
137
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.8
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,210 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 2,058 retweets (64% 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 3,210 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 followersTheir audience appears to be interested in wrestling, entertainment, and pop culture, with a global reach across multiple countries.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
93
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.6%
No URL
100.0%
<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.
12,318,699
Total Potential Reach
93
Median Follower Reach
261
75th Percentile Reach
6.5%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,080
Protected Accounts
10.8% of total
5 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 |
|---|---|---|---|
| @TheMattCardona | 2,169,324 | Wrestler | Pro Wrestling, Podcasting, Events |
| @OccupyDemocrats | 580,975 | Political Activist | Progressive, Grassroots, Politics |
| @TheAvaWhite | 417,980 | - | - |
| @realrubysoho | 398,468 | Travel Blogger | Travel, Adventure, Mystery |
| @zammit_marc | 384,477 | Filmmaker | Film, Acting, Producing |
| @davidmweissman | 348,448 | - | - |
| @Life__Quotes | 310,965 | - | - |
| @JamesStormBrand | 293,358 | Wrestler | Wrestling, Acting, Real Estate |
| @gigidolin_wwe | 250,606 | - | - |
| @SeanRossSapp | 236,629 | Wrestling Reporter | Wrestling, Kraken Fight Team, Catch Wrestling |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,409
Followers With Bio
3,591
Followers Without Bio
64.09%
% With Bio
35.91%
% 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 3,210 analyzed86,555
Combined Engagement
0
Total Likes
86,555
Total Retweets
17,311
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @totaltroutmove: RIP Coolio. https://t.co/GHzLV4JHuu
RT @tomdelonge: We are back. @blink182 https://t.co/IBileMaXmQ
RT @PhilOfLife_: Be proud, you survived the days you thought you couldn’t.
RT @il0venostalgia: I'm this old... https://t.co/RFTp4oLZMo
RT @tomdelonge: What if I told you we just made the best album of our career 😎 @blink182 https://t.co/g8ZNwtOQqY
Key Insights & Takeaways
They frequently reference wrestling personalities and events, indicating a deep involvement in the wrestling scene. Their content often includes personal opinions and interactions, suggesting a conversational and relatable tone. They use a mix of emojis and hashtags to enhance their tweets' visual appeal and reach.
Strengths
- + Established follower base of 54,541
- + 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 @mothfromdaflats reveals an growing Twitter presence with 54,541 followers. The account demonstrates a content-creator strategy, averaging 87.1 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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