Travladd Crypto
DeFi is the future, Massively Bullish on $KAS @KaspaCurrency. Co-Founder of @Kingfinance
398,234
Followers
531
Following
19,506
Tweets
67.8
Avg Engagement
1,009
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OfficialTravlad'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:2019-03-06
- Verification:No
- Location:BULLISH ON $KAS
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:38.0
- Avg Retweets per Tweet:29.8
- Followers Analyzed:50,000
- Following Analyzed:260
Engagement Analysis
Based on 3,246 tweetsThe account has high average likes and retweets, indicating strong engagement. It uses interactive tweets and giveaways to encourage user participation and boost visibility.
38.0
Avg Likes/Tweet
29.8
Avg Retweets/Tweet
123,399
Total Likes
96,680
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
21
75th Percentile
10,235
Top Tweet
0.17
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
3.9%
Original
92.2%
Replies
3.8%
Retweets
0.1%
Quotes
0.0%
Threads
0.0%
With Media
5.5%
With Links
2.7%
With #Tags
97.5%
With @Mentions
4.3%
With Emojis
55
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
23.38
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.3%
Weekday Posts
16.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 124 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 3,246 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 is primarily interested in cryptocurrency, DeFi, and blockchain projects. They are likely active on social media and engaged with crypto-related content.
Good
Audience Quality
15.5%
Suspicion Index
14.5%
Low-Quality %
90
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.4%
Empty Bio
9.8%
<10 Tweets
18.8%
Mass Following (>2K)
0.0%
New (<90 days)
29.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.3%
No URL
5.5%
<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.
106,218,432
Total Potential Reach
90
Median Follower Reach
485
75th Percentile Reach
17.7%
>1K followers
2.3%
>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).
74.5%
Creators
37,240 accounts
15.8%
Consumers
7,880 accounts
9.8%
Dormant
4,880 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):
4,077
Verified Followers
4.04% of total
2,868
Protected Accounts
2.84% of total
3 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 | 14,103,819 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CoinMarketCap | 5,877,297 | Crypto Tracker | Cryptocurrency, Revolution, Education |
| @CryptoWeb3_NFT | 4,364,727 | - | - |
| @SirKunt | 2,253,252 | - | - |
| @opensea | 2,011,076 | NFT Marketplace | NFTs, Marketplace, Discover |
| @Karijelinek | 1,000,459 | Modelo | Modelo, Actriz, Influencers |
| @LeBronJames | 998,927 | - | - |
| @uncensoredpromo | 891,172 | Social Media Influencer | Memes, Comedy, News |
| @CryptoKing4Ever | 849,542 | Content Creator | Guyonan, Lucu, Design |
| @RaminNasibov | 740,782 | Designer | Design, Art, Opensea |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
72,693
Followers With Bio
28,305
Followers Without Bio
71.97%
% With Bio
28.03%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,246 analyzed37,341
Combined Engagement
5,808
Total Likes
31,533
Total Retweets
7,468
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @XcademyOfficial: Introducing $PLAY via @TheDaoMaker PLAY Area Users will need both $PLAY & $XCAD The world isn’t ready 🌎 #Watch2Ea…
I will send $100 #Doge to 5 people who have retweeted and followed @kingfinance and myself ( @OfficialTravlad ) in the next 24hrs. https://t.co/ZZNcPK4yAt
RT @SerLondonCrypto: $100 to someone who follows me and retweets this. Winner in 48 hours ✅💰
RT @XcademyOfficial: Announcing a HUGE Giveaway to Celebrate the Launch of the PLAY Area this week 🚀 $100,000 Giveaway 🚨 400 Winners 💰 1)…
Quote RT this tweet and gets 0 likes, 0 comments & 0 RT’s and one winner wins $500 #BNB Rules: 1) Like and Quote Retweet 2) Follow @CradleOfSins Get 0, win $500. Ends in 48hrs. One winner. Cradle of Sins Launches on Tuesday! https://t.co/SGAfNiiLVL
Network & Following Analysis
Based on 260 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
20.4%
Verified Accounts
30.0%
High Authority (>50K)
0.4%
Dormant Accounts
2.3%
Low Quality
14,435
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
45.4%
Individuals
118 accounts
54.2%
Brands/Orgs
141 accounts
0.4%
Media/News
1 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ Elon Musk | 64,778,376 | - | - |
| @ Manchester United | 28,568,080 | - | - |
| @ MrBeast | 12,180,781 | - | - |
| @ Binance | 6,265,850 | - | - |
| @ Marcus Rashford MBE | 5,258,134 | - | - |
| @ CZ 🔶 Binance | 4,170,222 | - | - |
| @ Bitcoin | 3,838,110 | - | - |
| @ Twitter Verified | 3,683,852 | - | - |
| @ Michael Saylor⚡️ | 1,864,022 | - | - |
| @ Scotty T MBE | 1,473,967 | - | - |
Key Insights & Takeaways
The account frequently runs giveaways to incentivize retweets and follows, which helps increase engagement and follower count. It promotes multiple projects, including Kaspa and Kingfinance, suggesting a focus on crypto and DeFi ecosystems. The use of verified accounts and structured rules for giveaways indicates a strategic approach to audience growth and brand promotion.
Strengths
- + Established follower base of 398,234
- + 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 @OfficialTravlad reveals an growing Twitter presence with 398,234 followers. The account demonstrates a conversation-first approach, averaging 67.8 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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