OKX Intern
@okx
120,613
Followers
1,442
Following
7,424
Tweets
452.9
Avg Engagement
698
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @okx_intern'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:2018-12-12
- Verification:No
- Location:🌎
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:61.6
- Avg Retweets per Tweet:391.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,193 tweetsThe account consistently receives a high number of likes and retweets, indicating strong community interaction. It uses engaging questions to spark conversations and maintain audience interest.
61.6
Avg Likes/Tweet
391.2
Avg Retweets/Tweet
196,837
Total Likes
1,249,170
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
17
Median Retweets
166
75th Percentile
358,336
Top Tweet
3.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
32.5%
Original
23.9%
Replies
37.8%
Retweets
5.9%
Quotes
0.0%
Threads
0.0%
With Media
29.3%
With Links
36.9%
With #Tags
65.2%
With @Mentions
25.9%
With Emojis
115
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.74
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
84.2%
Weekday Posts
15.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 1,206 retweets (38% 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 3,193 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 followersThe audience primarily consists of crypto enthusiasts and investors interested in memecoins and new token listings. They are likely active in the crypto space and seek insights and discussions.
Average
Audience Quality
21.7%
Suspicion Index
21.9%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.9%
Empty Bio
18.9%
<10 Tweets
14.6%
Mass Following (>2K)
0.0%
New (<90 days)
49.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
10.9%
<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.
76,440,660
Total Potential Reach
47
Median Follower Reach
185
75th Percentile Reach
7.2%
>1K followers
1.5%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.9%
Creators
28,442 accounts
24.2%
Consumers
12,105 accounts
18.9%
Dormant
9,453 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):
1,708
Verified Followers
1.69% of total
4,953
Protected Accounts
4.9% 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 | 14,101,653 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DezBryant | 3,495,713 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @WhaleCartel | 2,724,109 | - | - |
| @WilliamShatner | 2,559,916 | Actor | Family, Canadian, Charity |
| @SirKunt | 2,251,475 | - | - |
| @BabyDogeCoin | 1,912,485 | - | - |
| @Cointelegraph | 1,892,920 | Crypto News | Bitcoin, Ethereum, blockchain |
| @kskgroup2017 | 1,776,189 | Entrepreneur | Angel investor, Entrepreneur, Soccer |
| @allyier | 1,759,403 | - | - |
| @BoredElonMusk | 1,712,386 | Entrepreneur, Investor | Inventions, Parody, Blockchain |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,358
Followers With Bio
33,637
Followers Without Bio
66.69%
% With Bio
33.31%
% 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 3,193 analyzed517,814
Combined Engagement
0
Total Likes
517,814
Total Retweets
103,563
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @ManCity: Manchester City can confirm that we have reached an agreement in principle with Borussia Dortmund for the transfer of striker…
RT @VitalikButerin: And we finalized! Happy merge all. This is a big moment for the Ethereum ecosystem. Everyone who helped make the merge…
RT @ManCity: HE'S HERE! 💙 https://t.co/JuZEtzTWbv
RT @OECnetwork: 🔥🔥🔥 Share over 3️⃣0️⃣0️⃣ K in prizes by joining #𝗢𝗘𝗖 𝗠𝗲𝘁𝗮𝘃𝗲𝗿𝘀𝗲 𝗖𝗮𝗿𝗻𝗶𝘃𝗮𝗹 👾🕹️ $OKT airdrops & #OEC Game Relay Mystery Box 🎁…
Key Insights & Takeaways
The account frequently asks for opinions on popular topics like memecoins and token listings, which helps drive engagement. It highlights emerging trends such as the metaverse, NFTs, and GameFi, showing a focus on accessibility in crypto. The use of verified status and high follower count suggests a trusted and influential voice in the crypto community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 120,613
- + 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 @okx_intern reveals an well-established Twitter presence with 120,613 followers. The account demonstrates a content-creator strategy, averaging 452.9 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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