Ted Nivison
the big man with the big plan | host on @chucklesandwich | @tedniv | [email protected]
791,948
Followers
765
Following
4,023
Tweets
4,548.2
Avg Engagement
623
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TedNivison'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:2014-04-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,221
- Avg Likes per Tweet:4,455.0
- Avg Retweets per Tweet:93.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,221 tweetsHis tweets typically receive high engagement, with an average of 99k likes and 4k retweets. This indicates a strong and active fan base.
4,455.0
Avg Likes/Tweet
93.2
Avg Retweets/Tweet
14,349,558
Total Likes
300,306
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
974
Median Likes
5
Median Retweets
4,638
75th Percentile
196,449
Top Tweet
5.74
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
19.6%
Original
79.1%
Replies
0.3%
Retweets
1.0%
Quotes
0.0%
Threads
0.5%
With Media
18.3%
With Links
2.0%
With #Tags
78.4%
With @Mentions
1.5%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.03
Reply/Original Ratio
3.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,221 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 10 retweets (0% 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 3,221 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 followersHis audience primarily consists of comedy enthusiasts and young adults. They engage with his content through likes and retweets.
Average
Audience Quality
30.6%
Suspicion Index
35.6%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.6%
Empty Bio
44.9%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
74.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
31.7%
<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.
24,162,646
Total Potential Reach
4
Median Follower Reach
18
75th Percentile Reach
0.9%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
29.9%
Creators
14,971 accounts
25.1%
Consumers
12,570 accounts
44.9%
Dormant
22,459 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):
203
Verified Followers
0.2% of total
9,976
Protected Accounts
9.88% of total
2 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 |
|---|---|---|---|
| @AmazingPhil | 6,860,873 | YouTuber | YouTube, Comedy, Gaming |
| @Valkyrae | 3,076,167 | Streamer | Gaming, Streaming, Content Creation |
| @RiceGum | 2,623,829 | YouTuber | YouTube, Content Creator, Comedy |
| @dreamwastaken | 2,310,287 | Content Creator | Gaming, Dream SMP, Minecraft |
| @jacksfilms | 1,734,704 | YouTuber | YIAY, comedy, YouTube |
| @xQc | 1,552,322 | Streamer | Gaming, Streaming, Luminosity |
| @CaucasianJames | 1,516,902 | Influencer | Basketball, Fitness, Fashion |
| @jenfoxxuwu | 1,422,127 | Influencer | - |
| @Garrett_Watts | 1,420,922 | YouTuber | Video making, Breakfast burritos, Hufflepuff |
| @PhillyD | 1,191,021 | News YouTuber | News, YouTube, Commentary |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,736
Followers With Bio
37,263
Followers Without Bio
63.11%
% With Bio
36.89%
% 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 3,221 analyzed603,402
Combined Engagement
582,157
Total Likes
21,245
Total Retweets
120,680
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Effortlessly funny. Endlessly talented. Gone too soon. Rest easy, Technoblade.
where are you @jschlatt https://t.co/Kd8sW4Yw9d
elon musk running twitter has the same vibes as the bossy kid at recess that keeps changing the rules of the game he made up because he's losing
Birthday https://t.co/GErckwMT4t
@Ranboosaysstuff yo https://t.co/tQHTqM8Eqp
Key Insights & Takeaways
He often references popular culture and internet figures, which helps in connecting with his audience. His content is a mix of humor and critique, making it relatable and thought-provoking. He uses a conversational tone, which makes his tweets feel personal and engaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 791,948
- + 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 @TedNivison reveals an exceptionally influential Twitter presence with 791,948 followers. The account demonstrates a conversation-first approach, averaging 4,548.2 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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