DIG Khanada
🇰🇷 CODE KHANADA #ad DUO FNCS WINNER 20x grandfinals 21x cash cup winner Pro Fortnite for @dignitas DM @50taruns for business inquiries
457,288
Followers
630
Following
5,799
Tweets
831.5
Avg Engagement
315
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Khanada'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:2018-09-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:789.2
- Avg Retweets per Tweet:42.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsKhanada's tweets receive high engagement, with an average of 10k likes and 1k retweets, indicating strong community interaction.
789.2
Avg Likes/Tweet
42.3
Avg Retweets/Tweet
2,560,193
Total Likes
137,168
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
313
Median Likes
1
Median Retweets
1,010
75th Percentile
85,380
Top Tweet
1.82
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
30.2%
Original
65.3%
Replies
3.7%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
16.9%
With Links
0.8%
With #Tags
71.9%
With @Mentions
6.8%
With Emojis
55
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.16
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
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 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 119 retweets (4% 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 followersHis audience primarily consists of Fortnite enthusiasts and gamers looking for competitive insights and entertainment.
Average
Audience Quality
29.3%
Suspicion Index
32.9%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.6%
Empty Bio
42.6%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
68.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.2%
No URL
27.2%
<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.
21,064,161
Total Potential Reach
7
Median Follower Reach
38
75th Percentile Reach
2.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
29.8%
Creators
14,904 accounts
27.6%
Consumers
13,794 accounts
42.6%
Dormant
21,302 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):
496
Verified Followers
0.49% of total
4,688
Protected Accounts
4.64% 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 |
|---|---|---|---|
| @bugha | 1,951,190 | Professional Gamer | Fortnite, Gaming, Esports |
| @SinghLions | 1,334,825 | Restaurateur | Food, Travel, Influencer |
| @BoredApeYC | 1,060,446 | NFT Creator | NFTs, Membership, Discord |
| @LeBronJames | 1,004,930 | - | - |
| @MikeyWax | 857,592 | Musician | music, singer-songwriter, new single |
| @NOH8Campaign | 801,636 | Activism | equality, bullying, discrimination |
| @crazyraccoon406 | 785,434 | Esports Team | Esports, Team, Owner |
| @aquaa | 699,142 | Professional Gamer | Fortnite, Competitive Gaming, Victory |
| @Cris__U | 600,969 | Day Trader | DJ, Day Trader, Crypto |
| @KyleCGShore | 516,406 | Reality TV Star | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,452
Followers With Bio
38,546
Followers Without Bio
61.83%
% With Bio
38.17%
% 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 analyzed137,027
Combined Engagement
37,404
Total Likes
99,623
Total Retweets
27,405
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @pokimanelol: CAR GIVEAWAY 🥰 you could win a brand new TESLA! ✨ retweet + follow ✨ comment #PokiCar #sweepstakes https://t.co/sfnaC4Ag…
TIKTOKS ARE BACK https://t.co/h4U2jMMd2i
RT @DNPthree: If Logan Paul wins tonight I'll give someone who retweets and likes this tweet $2,500. Must be following if you win.
RECORDED WITH FACECAM KNOWING I WOULD WIN LOLLL https://t.co/7jZT6FMLs1
best feeling in the world https://t.co/S5MwF4af11
Key Insights & Takeaways
Khanada leverages his platform to promote his content and brand partnerships. He actively engages with his audience and seeks support for his Twitch account. He highlights his competitive achievements and personal experiences to connect with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 457,288
- + 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 @Khanada reveals an well-established Twitter presence with 457,288 followers. The account demonstrates a conversation-first approach, averaging 831.5 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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