OKX
One of the world's most reliable crypto trading & Web3 apps. Partners @MclarenF1 @ManCity @Tribeca. Support @OKXHelpDesk. Monthly PoR.
3,509,983
Followers
564
Following
22,714
Tweets
209.7
Avg Engagement
5,953
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @okx'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: Mega Influencer (1M+)
- Account Age:2017-05-25
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:133.6
- Avg Retweets per Tweet:76.1
- Followers Analyzed:50,000
- Following Analyzed:527
Engagement Analysis
Based on 3,244 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The use of trending topics and promotions helps drive engagement.
133.6
Avg Likes/Tweet
76.1
Avg Retweets/Tweet
433,275
Total Likes
246,831
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
76
Median Likes
28
Median Retweets
206
75th Percentile
23,875
Top Tweet
0.06
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
58.6%
Original
31.7%
Replies
6.3%
Retweets
3.4%
Quotes
0.0%
Threads
0.1%
With Media
43.0%
With Links
50.2%
With #Tags
52.3%
With @Mentions
69.5%
With Emojis
128
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.7%
Weekday Posts
22.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 205 retweets (6% 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 3,244 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 includes crypto traders, Web3 enthusiasts, and potential investors interested in new blockchain projects. It also targets partners and collaborators in the tech and entertainment industries.
Average
Audience Quality
21.0%
Suspicion Index
30.5%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.5%
Empty Bio
26.4%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
40.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
16.5%
<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.
31,083,314
Total Potential Reach
28
Median Follower Reach
124
75th Percentile Reach
4.8%
>1K followers
0.7%
>10K followers
0.2%
>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).
49.6%
Creators
24,790 accounts
24.0%
Consumers
12,001 accounts
26.4%
Dormant
13,209 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):
581
Verified Followers
0.58% of total
13,172
Protected Accounts
13.04% 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,363,143 | - | - |
| @TheWignus | 2,488,909 | - | - |
| @JessicaNkosi | 1,754,065 | Actress | Acting, TV presenting, Volvo |
| @Mbahdeyforyou | 1,460,029 | Spiritual Advisor | Motivation, Positivity, Encouragement |
| @CiervoKing | 1,334,809 | Crypto Promoter | Crypto, Promoter, Golduck |
| @KateMillerGems | 1,259,432 | Crypto Influencer | Crypto, Gaming, Marketing |
| @eacarer | 1,117,321 | - | - |
| @Karijelinek | 1,003,382 | Modelo | Modelo, Actriz, Influencers |
| @gerardeulofeu | 992,155 | Footballer | Football, Lifestyle, Healthy Eating |
| @bytarifa | 982,439 | Influencer | Dreams, Fulfillment, Tarifa |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,974
Followers With Bio
41,021
Followers Without Bio
59.38%
% With Bio
40.62%
% 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 3,244 analyzed58,827
Combined Engagement
40,463
Total Likes
18,364
Total Retweets
11,765
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
🚀 All systems are go 🚀 #WhatIsOKX? Perfume? Race car? Rap song? Cereal? Wrestler? Energy drink? We’re your new favorite #crypto trading app 📲 The future is tradeable - switch to OKX today: https://t.co/b4OA4p6Azx https://t.co/XTspylXD2L
$CORE, the native token of the Core blockchain @Coredao_Org, gets listed on #OKX! ▶ Deposits are OPEN 🟢 📈 Spot trading will start once the $CORE deposit meets the liquidity requirements.
📣 OKX x CORE listing campaign round 1️⃣ Join the listing campaign & deposit $CORE for a chance to win up to 6,000 $CORE. Double your rewards in Round 2! 😎 Enter now 👇
RT @OKX_Ventures: #Airdrop⚡️Chinese New Year Giveaway！ @playbigtime @WAX_io @arbitrum @zksync @auroraisnear @clv_org @StarkWareLtd @GodsUnc…
🚨 #NewListing Update 🚨 📈 CORE/USDT and CORE/USDC @Coredao_Org Spot trading will get listed at 12:00 pm, on Feb 8 (UTC).
Network & Following Analysis
Based on 527 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
69.3%
Verified Accounts
72.9%
High Authority (>50K)
100.0%
Dormant Accounts
1.9%
Low Quality
157,209
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
76.9%
Individuals
405 accounts
13.9%
Brands/Orgs
73 accounts
9.3%
Media/News
49 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @X X | 66,565,314 | Social Media Manager | - |
| @netflix Netflix | 22,098,571 | Entertainment | Cardi B, Netflix, Petition |
| @ManCity Manchester City | 16,714,742 | Football Club | Football, Champions, Manchester |
| @rickygervais Ricky Gervais | 15,059,738 | Comedian | Comedy, Writing, Acting |
| @tim_cook Tim Cook | 14,231,553 | CEO | Apple, Auburn, Duke |
| @F1 Formula 1 | 9,636,186 | Motorsport | Formula 1, F1Fantasy, Prizes |
| @Support Support | 7,352,056 | Customer Support | Customer service, assistance, support |
| @Bitcoin Bitcoin | 5,993,187 | Cryptocurrency Expert | Cryptocurrency, Decentralization, Verification |
| @ErlingHaaland Erling Haaland | 5,706,619 | Footballer | Football, Norway, Golden Boy |
| @VitalikButerin vitalik.eth | 4,984,920 | Cryptocurrency Developer | Ethereum, Dragon Tyrant, Abolition |
Key Insights & Takeaways
The account emphasizes its role as a reliable crypto trading platform and Web3 app. Promotion of new token listings and partnerships is a key strategy. Engagement is driven by interactive content and campaigns.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,509,983
- + 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 reveals an well-established Twitter presence with 3,509,983 followers. The account demonstrates a content-creator strategy, averaging 209.7 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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