Skid
NFT collector looking to find the most parabolic jpegs. Founder of @AListNFT @arcthecommunity Stellar
26,315
Followers
1,758
Following
3,197
Tweets
503.2
Avg Engagement
214
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @skid_eth'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:2020-10-06
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:10.8
- Avg Retweets per Tweet:492.4
- Followers Analyzed:27,643
Engagement Analysis
Based on 598 tweetsSkid_eth's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content often drives interest in NFT projects and market activities.
10.8
Avg Likes/Tweet
492.4
Avg Retweets/Tweet
6,447
Total Likes
294,439
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
10
75th Percentile
131,765
Top Tweet
19.12
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
22.4%
Original
63.4%
Replies
12.5%
Retweets
1.7%
Quotes
0.0%
Threads
0.0%
With Media
18.7%
With Links
1.3%
With #Tags
85.5%
With @Mentions
18.7%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.83
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.6%
Weekday Posts
23.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 75 retweets (13% 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 598 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 27,643 followersTheir audience includes NFT collectors, crypto enthusiasts, and investors interested in market trends and project opportunities. They also engage with community-driven initiatives and DAOs.
Good
Audience Quality
17.6%
Suspicion Index
9.0%
Low-Quality %
104
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
15.5%
Empty Bio
4.5%
<10 Tweets
24.7%
Mass Following (>2K)
0.0%
New (<90 days)
44.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.1%
No URL
2.5%
<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.
56,125,234
Total Potential Reach
104
Median Follower Reach
417
75th Percentile Reach
14.3%
>1K followers
2.2%
>10K followers
0.5%
>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).
84.7%
Creators
23,422 accounts
10.8%
Consumers
2,981 accounts
4.5%
Dormant
1,240 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):
891
Verified Followers
3.22% of total
457
Protected Accounts
1.65% of total
4 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 |
|---|---|---|---|
| @JohnCena | 14,105,704 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ScottGShore | 1,433,581 | Reality TV Star | Reality TV, Techno music, MTV |
| @BoredApeYC | 1,060,567 | NFT Creator | NFTs, Membership, Discord |
| @ZachBoychuk | 830,527 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @streetoshi | 590,424 | - | - |
| @KCMontero | 552,545 | TV Host | Content creation, hosting, radio |
| @FabriLemus7 | 492,500 | Crypto Influencer | Crypto, Content Creation, Investing |
| @TFGmykL | 389,223 | Entrepreneur | Gaming, NFTs, eSports |
| @OfficialTravlad | 386,284 | Crypto Analyst | Crypto, Analysis, Investor |
| @Zeneca | 375,471 | NFT Enthusiast | NFTs, Newsletter, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
23,369
Followers With Bio
4,274
Followers Without Bio
84.54%
% With Bio
15.46%
% 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 598 analyzed209,559
Combined Engagement
0
Total Likes
209,559
Total Retweets
41,912
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @Un4v5s8bgsVk9Xp: https://t.co/koqXgooCAG
RT @elonmusk: Cryptonight
RT @cz_binance: This afternoon, FTX asked for our help. There is a significant liquidity crunch. To protect users, we signed a non-binding…
RT @elonmusk: FTX meltdown/ransack being tracked in real-time on Twitter
RT @gabrielleydon: GM🌅 Let’s get this started again. 😤 10 @DigiDaigaku Villains WL spots available. Winners picked in 24 hours! YOU MUS…
Key Insights & Takeaways
Skid_eth frequently collaborates with NFT communities and DAOs to promote projects and giveaways. They share market insights and trading activities, indicating an active interest in crypto and NFTs. Their engagement suggests a focus on building relationships and driving participation in the NFT space.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 26,315
- + 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 @skid_eth reveals an well-established Twitter presence with 26,315 followers. The account demonstrates a conversation-first approach, averaging 503.2 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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