tastylive
The trader's un-network.
74,453
Followers
1,391
Following
2,594
Tweets
8.2
Avg Engagement
1,341
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tastyliveshow'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:2011-01-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,460
- Avg Likes per Tweet:6.4
- Avg Retweets per Tweet:1.8
- Followers Analyzed:9,998
Engagement Analysis
Based on 1,460 tweetsThe account shows consistent engagement with its followers, though the average likes and retweets suggest a moderate level of interaction.
6.4
Avg Likes/Tweet
1.8
Avg Retweets/Tweet
9,346
Total Likes
2,632
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
11
75th Percentile
237
Top Tweet
0.11
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
75.5%
Original
4.6%
Replies
18.2%
Retweets
1.7%
Quotes
0.0%
Threads
0.7%
With Media
89.6%
With Links
8.7%
With #Tags
81.8%
With @Mentions
4.1%
With Emojis
173
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
89.7%
Weekday Posts
10.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,460 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 265 retweets (18% 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 1,460 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 interested in entertainment, humor, and brand-related content, with a focus on casual and relatable interactions.
Average
Audience Quality
25.0%
Suspicion Index
34.4%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.8%
Empty Bio
28.8%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
50.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
18.9%
<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.
8,039,216
Total Potential Reach
29
Median Follower Reach
104
75th Percentile Reach
4.3%
>1K followers
0.8%
>10K followers
0.3%
>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).
48.1%
Creators
4,809 accounts
23.1%
Consumers
2,308 accounts
28.8%
Dormant
2,881 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):
253
Verified Followers
2.53% of total
1,055
Protected Accounts
10.55% of total
6 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 |
|---|---|---|---|
| @junior_cigano | 1,278,329 | Fighter | Fighting, Advertisements, Publicity |
| @CBOE | 597,630 | Finance | Innovation, Technology, Trading |
| @SquawkCNBC | 435,799 | Financial News | Finance, Business, News |
| @GuyAdami | 380,298 | TV Personality | Trading, Podcasting, Triathlons |
| @DylanLeClair_ | 313,841 | - | - |
| @davenewworld_2 | 289,300 | Reporter | Racism, Reporting, Media |
| @conquerer1 | 235,760 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @franklinisbored | 166,415 | - | - |
| @TitterDaily | 125,584 | - | - |
| @JarredWinn | 123,257 | Cryptocurrency Expert | blockchain, crypto, philanthropy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,022
Followers With Bio
4,978
Followers Without Bio
50.22%
% With Bio
49.78%
% 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 1,460 analyzed558
Combined Engagement
509
Total Likes
49
Total Retweets
112
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
☃️ Merry Christmas and happy holidays from all of us at tastylive! 🎄 https://t.co/iRWNpDA7og
New look, same us! We have some exciting things coming down the road. To stay tuned on all things tastylive, visit: https://t.co/CR7nxBoNbP https://t.co/MrO6sZJvGk
Okay Chris, tell us the truth, is Eugene Levy your dad? https://t.co/88L2hxv9ps
This is not a drill - we got Tom on Twitter! Tom is hosting our first Twitter Space on Wednesday. Come hangout with us as we chat with @RyanFredGrace from @tastycrypto! https://t.co/rQVEWjh4JN
🚨 New show alert!🚨Tune in at 12CT as @CVecchioFX walks through what's moving in futures markets Monday-Friday. https://t.co/q7Ulv2Wa1P
Key Insights & Takeaways
The account uses holiday-themed tweets to connect with its audience and build brand awareness. It maintains a casual and conversational tone, often asking direct questions to engage followers. The account also promotes its website and brand updates, indicating a focus on community and content development.
Strengths
- + Established follower base of 74,453
- + 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 @tastyliveshow reveals an growing Twitter presence with 74,453 followers. The account demonstrates a content-creator strategy, averaging 8.2 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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