Kong Trading 🦍

Kong Trading 🦍

@KongBTC

• Trader since '16 • Trading on @Bybit_Official • #LTC for the culture • Occasional ads; NFA • Working on @MyAlgoTech @MetaWearing @Jungle2play

Hong Kong, China https://www.youtube.com/channel/UCRlcu992jOpscxJQ2BbtR8Q Joined 2012-12-01 Date of Analysis: 12月 16, 2025

72,390

Followers

2,330

Following

34,790

Tweets

84.5

Avg Engagement

551

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @KongBTC'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:2012-12-01
  • Verification:Yes
  • Location:Hong Kong, China

Data Summary

  • Tweets Analyzed:599
  • Avg Likes per Tweet:48.8
  • Avg Retweets per Tweet:35.7
  • Followers Analyzed:50,000
  • Following Analyzed:2,308

Engagement Analysis

Based on 599 tweets

KongBTC's tweets typically receive high engagement, with an average of 494 likes and 477 retweets. Their promotional and giveaway tweets are especially effective in driving interaction.

48.8

Avg Likes/Tweet

35.7

Avg Retweets/Tweet

29,234

Total Likes

21,409

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

1

Median Retweets

118

75th Percentile

4,569

Top Tweet

1.17

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

32.4%

Original

53.4%

Replies

12.0%

Retweets

2.2%

Quotes

0.0%

Threads

0.0%

With Media

28.5%

With Links

16.4%

With #Tags

73.1%

With @Mentions

34.9%

With Emojis

82

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.65

Reply/Original Ratio

0.18

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

85.8%

Weekday Posts

14.2%

Weekend Posts

Top Hashtags

#crypto (19) #bitcoin (18) #web3 (9) #btc (8) #doge (7) #ff (6) #litecoin (5) #youtube (4) #twitch (4) #dogecoin (4)

Most Mentioned

@elonmusk (46) @myalgotech (43) @propchainglobal (25) @galaxyfight_nft (22) @santoxbt (21) @kongbtc (19) @postyxbt (17) @goonsnft (17) @jungle2play (16) @xmaximist (15)

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Content Strategy Analysis

Based on 599 tweets

Content Type Distribution

Content Breakdown

Original Tweets 194 (32%)
Replies 320 (53%)
Retweets 72 (12%)
Quote Tweets 13 (2%)

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 72 retweets (12% 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 599 tweets

Engagement 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 followers

KongBTC's audience primarily consists of crypto traders and enthusiasts interested in trading and market movements. They also attract followers interested in crypto projects and promotions.

Average

Audience Quality

23.1%

Suspicion Index

16.4%

Low-Quality %

78

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.2%

Empty Bio

9.5%

<10 Tweets

30.6%

Mass Following (>2K)

0.0%

New (<90 days)

51.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.4%

No URL

5.6%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

78,744,723

Total Potential Reach

78

Median Follower Reach

215

75th Percentile Reach

6.6%

>1K followers

1.1%

>10K followers

0.4%

>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).

78.0%

Creators

39,024 accounts

12.5%

Consumers

6,236 accounts

9.5%

Dormant

4,740 accounts

1,625

Verified Followers

3.25% of total

7.0%

Professional Bios

founder, dev, analyst, etc.

0.09

Median Follow Ratio

follower/following

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):

Indonesia (658) Republic of the Philippines (419) India (308) United States (275) Metaverse (189) London England (181) Earth (178) Nigeria (175) United Kingdom (160) Lagos Nigeria (130)

1,211

Verified Followers

2.11% of total

3,377

Protected Accounts

5.88% of total

5 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 14,105,754 Wrestler Wrestling, Motivation, Self-promotion
@WhaleCartel 2,730,525 - -
@6BillionPeople 2,038,023 - -
@HuobiGlobal 1,430,341 - -
@BrianDEvans 1,141,553 Entrepreneur NFTs, Crypto, Digital Marketing
@WorldWideWob 1,081,900 Sports Analyst NBA, Basketball, Fantasy Sports
@bernabephoto 1,015,536 Photographer Photography, Travel, Wildlife
@Karijelinek 1,003,346 Modelo Modelo, Actriz, Influencers
@NEST_Protocol 930,145 - -
@scottmelker 891,382 Crypto Investor Crypto, DJ, Podcast

Top Keywords in Follower Bios

crypto (6,823) bitcoin (2,799) btc (2,168) nft (2,136) eth (1,609) trader (1,556) enthusiast (1,305) life (1,203) investor (1,146) love (1,113)

Top Hashtags in Follower Bios

#bitcoin (2,294) #btc (1,337) #crypto (1,113) #eth (881) #nft (768) #bnb (746) #lunc (391) #nfts (290) #defi (249) #blockchain (243)

39,769

Followers With Bio

17,693

Followers Without Bio

69.21%

% With Bio

30.79%

% 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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Viral Tweets

Top 5 by likes+RTs from 599 analyzed

15,601

Combined Engagement

7,165

Total Likes

8,436

Total Retweets

3,120

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Crypto Trading Giveaways Community Engagement Social Media Promotion Crypto Projects

Network & Following Analysis

Based on 2,308 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

48.9%

Verified Accounts

37.7%

High Authority (>50K)

100.0%

Dormant Accounts

5.1%

Low Quality

24,410

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

82.5%

Individuals

1,904 accounts

10.5%

Brands/Orgs

242 accounts

7.0%

Media/News

162 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,053,275 Entrepreneur Space, Technology, Innovation
@BarackObama Barack Obama 131,944,073 Politician Family, Leadership, Citizenship
@realDonaldTrump Donald J. Trump 87,261,059 - -
@X X 66,571,132 Social Media Manager -
@POTUS President Biden 32,202,639 - -
@MrBeast MrBeast 23,507,463 YouTuber Philanthropy, YouTube, Charity
@RobertDowneyJr Robert Downey Jr 17,777,294 Actor Marvel, Acting, Technology
@FLOTUS45 Melania Trump 45 Archived 15,340,413 Former First Lady Politics, Fashion, Philanthropy
@neiltyson Neil deGrasse Tyson 14,717,087 Astrophysicist Science, Space, Education
@JohnCena John Cena 14,157,715 Wrestler Wrestling, Motivation, Self-promotion

Key Insights & Takeaways

KongBTC leverages giveaways to boost engagement and follower growth. They frequently promote crypto projects and trading platforms. Their content is highly interactive, encouraging retweets and follows for rewards.

Strengths

  • + Established follower base of 72,390
  • + 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 @KongBTC reveals an growing Twitter presence with 72,390 followers. The account demonstrates a conversation-first approach, averaging 84.5 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: 12月 16, 2025