Toasty
🐔Entertainer 🍆Discord: https://discord.com/invite/toasty 💢https://allmylinks.com/toasty 💌Business: [email protected]
306,241
Followers
373
Following
1,840
Tweets
334.9
Avg Engagement
367
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ToastyTime'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:2011-07-31
- Verification:No
- Location:Traveling the world
Data Summary
- Tweets Analyzed:1,808
- Avg Likes per Tweet:71.8
- Avg Retweets per Tweet:263.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,808 tweetsToastyTime's tweets receive an average of 1,072 likes and 63 retweets, indicating strong audience interaction and interest in their content.
71.8
Avg Likes/Tweet
263.1
Avg Retweets/Tweet
129,767
Total Likes
475,674
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
109
75th Percentile
131,718
Top Tweet
1.09
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
38.7%
Original
59.4%
Replies
0.9%
Retweets
0.9%
Quotes
0.0%
Threads
0.1%
With Media
17.5%
With Links
1.3%
With #Tags
58.5%
With @Mentions
13.2%
With Emojis
112
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.53
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,808 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 17 retweets (1% 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 1,808 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 followersTheir audience is likely interested in personal stories, health updates, and entertainment content. They also engage with their followers through Discord and email.
Average
Audience Quality
25.8%
Suspicion Index
30.6%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
33.8%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
58.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.9%
No URL
20.5%
<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.
24,675,543
Total Potential Reach
13
Median Follower Reach
47
75th Percentile Reach
1.4%
>1K followers
0.3%
>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).
37.2%
Creators
18,576 accounts
29.1%
Consumers
14,541 accounts
33.8%
Dormant
16,883 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):
200
Verified Followers
0.2% of total
6,114
Protected Accounts
6.05% 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 |
|---|---|---|---|
| @shanedawson | 8,203,180 | YouTuber | Merchandise, YouTube, Comedy |
| @h3h3productions | 2,303,716 | Podcaster | Comedy, Podcasting, Entertainment |
| @YouTubeGaming | 2,092,377 | Gaming | Gaming, Community, Leveling Up |
| @6BillionPeople | 2,035,558 | - | - |
| @NetNobody | 1,754,715 | Gamer | Minecraft, Neo, Gaming |
| @Jev | 1,596,507 | Gamer | Gaming, FaZe Clan, Energy Drinks |
| @AlbertsStuff | 1,437,119 | YouTuber | Gaming, Comedy, Entertainment |
| @Unexplained | 1,335,335 | Paranormal Researcher | Mystery, Paranormal, Curiosity |
| @sssniperwolf | 1,074,963 | Gamer | Gaming, Fashion, Business |
| @TwitterGaming | 1,069,272 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,659
Followers With Bio
46,337
Followers Without Bio
54.12%
% With Bio
45.88%
% 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 1,808 analyzed387,196
Combined Engagement
0
Total Likes
387,196
Total Retweets
77,439
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @KingWheatXVI: When you grow up and realize the meaning behind our childhood movies. https://t.co/UVI5BTDuvr
RT @YourAnonNews: Trump is hiding in an underground bunker rn. No joke.
RT @dogsoutofcontxt: https://t.co/xutkE7gucQ
RT @mireillecharper: For people who actively want to be support and be an ally right now, I have written a thread. https://t.co/kTvDgXXO5L
RT @totakekesokuhou: イッテツごめん.... #あつ森 #あつまれどうぶつの森 Redditより:https://t.co/ZZE4KQzG1W https://t.co/XcqIZZFEYn
Key Insights & Takeaways
Their personal health updates, especially regarding COVID-19, are a major driver of engagement. They use a mix of humor and vulnerability to connect with their audience. They maintain a consistent presence across multiple platforms to expand their reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 306,241
- + 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 @ToastyTime reveals an well-established Twitter presence with 306,241 followers. The account demonstrates a conversation-first approach, averaging 334.9 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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