Modern Toss
the stink of excellence in a world gone tits up. Contact: [email protected]
62,291
Followers
589
Following
12,433
Tweets
202.5
Avg Engagement
424
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ModernToss'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:2009-10-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:48.9
- Avg Retweets per Tweet:153.6
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,247 tweetsModernToss consistently receives high engagement, indicating a strong connection with its followers. The average likes and retweets per tweet suggest a dedicated and active audience.
48.9
Avg Likes/Tweet
153.6
Avg Retweets/Tweet
158,807
Total Likes
498,643
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
7
Median Retweets
83
75th Percentile
162,810
Top Tweet
3.25
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
94.7%
Original
2.1%
Replies
2.7%
Retweets
0.4%
Quotes
0.0%
Threads
0.2%
With Media
98.2%
With Links
5.7%
With #Tags
5.6%
With @Mentions
0.9%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 88 retweets (3% 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 3,247 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 9,998 followersThe audience appears to be politically aware and socially conscious individuals who appreciate witty and provocative content. They are likely aged 25-45 and interested in current events and cultural critique.
Good
Audience Quality
19.0%
Suspicion Index
24.5%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.1%
Empty Bio
14.9%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
38.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.1%
No URL
9.8%
<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.
6,783,362
Total Potential Reach
78
Median Follower Reach
273
75th Percentile Reach
8.9%
>1K followers
0.8%
>10K followers
0.1%
>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).
69.5%
Creators
6,953 accounts
15.6%
Consumers
1,560 accounts
14.9%
Dormant
1,485 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):
29
Verified Followers
0.29% of total
1,049
Protected Accounts
10.49% 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 |
|---|---|---|---|
| @EclecticMethod | 486,170 | Video Artist | Video Remix, Musical Animations, CryptoArt |
| @AdrianEdmondson | 406,681 | Comedian | Comedy, Acting, Music |
| @EvanKirstel | 349,362 | Tech Influencer | Tech, B2B, Social media |
| @secrettory12 | 199,865 | - | - |
| @BumperGraham | 185,129 | Sports Journalist | Football, Spain, Podcasts |
| @its_for_sale | 97,520 | Realtor | investment, residential, realtor |
| @joepease | 90,739 | - | - |
| @squires_david | 70,382 | Cartoonist | Football, Cartoons, Journalism |
| @TSting18 | 68,705 | - | - |
| @RobbieKnox | 65,870 | YouTuber | FIFA, YouTube, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,086
Followers With Bio
3,914
Followers Without Bio
60.86%
% With Bio
39.14%
% 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 3,247 analyzed258,690
Combined Engagement
0
Total Likes
258,690
Total Retweets
51,738
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @MorraPerriadora: This shouldn’t have made me laugh this much https://t.co/oOtpFEpVIY
RT @BrianRoemmele: In 1663, the partial fossilised skeleton of a woolly rhinoceros was discovered in Germany. This is the “Magdeburg Unicorn”, one of the worst fossil reconstructions in human history. https://t.co/rmV1vcB3LY
RT @RexChapman: “What’s your name?”😂😭🤣 https://t.co/LjqrTY2xme
RT @jimmyperry0621: Recreating the sound of a mummy’s voice, science is amazing! 🤔🧐 https://t.co/e1zeQ7nTtQ
RT @fabbgrat: dolphins communicating: https://t.co/aFpAOxO4yY
Key Insights & Takeaways
The account frequently engages with notable figures like Piers Morgan, indicating a focus on public discourse. It uses trending hashtags and viral content to boost visibility and interaction. The use of short, punchy URLs suggests a preference for concise and impactful messaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 62,291
- + 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 @ModernToss reveals an well-established Twitter presence with 62,291 followers. The account demonstrates a content-creator strategy, averaging 202.5 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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