Pranksy 📦
Ambassador and collector of Web3 & #NFTs since December 2017. Founder of 📦 https://www.nftboxes.io/ @nftboxes IG: Pranksy
439,428
Followers
2,215
Following
10,837
Tweets
157.5
Avg Engagement
5,687
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pranksy'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:2014-07-12
- Verification:No
- Location:The Ether
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:123.9
- Avg Retweets per Tweet:33.7
- Followers Analyzed:50,000
- Following Analyzed:1,759
Engagement Analysis
Based on 3,250 tweetsPranksy's tweets receive a high number of likes and retweets, indicating strong community interaction. Their content often includes personal achievements and challenges that resonate with their followers.
123.9
Avg Likes/Tweet
33.7
Avg Retweets/Tweet
402,602
Total Likes
109,430
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
20
Median Likes
2
Median Retweets
132
75th Percentile
10,245
Top Tweet
0.36
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
20.7%
Original
58.0%
Replies
11.8%
Retweets
9.5%
Quotes
0.0%
Threads
1.3%
With Media
46.1%
With Links
28.5%
With #Tags
86.8%
With @Mentions
11.9%
With Emojis
126
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.8
Reply/Original Ratio
0.81
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.4%
Weekday Posts
20.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 382 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 3,250 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 followersPranksy's audience is primarily interested in NFTs, Web3 technologies, and community-driven projects. They are likely active participants in the crypto and NFT ecosystems.
Good
Audience Quality
16.0%
Suspicion Index
16.7%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.5%
Empty Bio
17.2%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
29.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.5%
No URL
10.0%
<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.
83,453,630
Total Potential Reach
68
Median Follower Reach
339
75th Percentile Reach
12.5%
>1K followers
1.9%
>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).
53.2%
Creators
26,600 accounts
29.6%
Consumers
14,818 accounts
17.2%
Dormant
8,582 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):
4,322
Verified Followers
4.28% of total
2,974
Protected Accounts
2.94% 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 |
|---|---|---|---|
| @thalia | 9,786,993 | Singer | Music, Album, Love |
| @CryptoWeb3_NFT | 4,364,497 | - | - |
| @ClarissaYorke | 2,591,869 | Partner Manager | Cyber security, Partner management, Gem hunting |
| @tferriss | 1,910,470 | Author | books, investing, podcasting |
| @arminvanbuuren | 1,608,878 | DJ | Music, Environment, Collaboration |
| @MurrayNewlands | 1,519,789 | Contributor | pop art, art, entrepreneurship |
| @Yassizzle | 1,494,130 | Gamer | Gaming, Metaverse, Building |
| @SethGreen | 1,409,973 | Actor | Movies, Comedy, Philanthropy |
| @AlexisRen | 1,393,264 | Model | Fashion, Travel, Wellness |
| @gabrielleydon | 1,318,080 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
76,960
Followers With Bio
24,038
Followers Without Bio
76.2%
% With Bio
23.8%
% 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 3,250 analyzed27,332
Combined Engagement
21,677
Total Likes
5,655
Total Retweets
5,466
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
If I get 10,000 likes on this tweet I will buy one floor @ChungosNFT. If I don't I will never buy a @ChungosNFT. https://t.co/4DrGAvFfyO
The charity NFT auction I am hosting for @WAWHumanRights has a launch date set. We plan to begin the #NFT auction on #CryptoGivingTuesday November 30th. More details to come! Auction address: https://t.co/gubSniGCvv Total raised so far from donations: 50.4 ETH #actnow4Afghans ht
Welcome home @BoredApeYC #1837 https://t.co/LwuKHPOO5H https://t.co/f574D7WvH6
We are 48 hours away from #CryptoGivingTuesday and the start of the @WAWHumanRights #NFT Charity auction. So far the generosity from the space through your donations has been inspiring, however I challenge YOU to go bigger! #actnow4Afghans Donate here: https://t.co/J48BOf3oad ht
I minted 67 @larvalabs #Autoglyphs, I have 0 left. I minted 1,250 @BoredApeYC, I have 1 left. I was the second person in @AxieInfinity discord, I sold my last Axie in 2018 and never looked back. However I'm still very happy 😄, #NFTs are here to stay, and just keep evolving!
Network & Following Analysis
Based on 1,759 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
33.9%
Verified Accounts
24.6%
High Authority (>50K)
0.7%
Dormant Accounts
3.0%
Low Quality
9,315
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
50.9%
Individuals
896 accounts
48.3%
Brands/Orgs
850 accounts
0.7%
Media/News
13 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ Elon Musk | 60,817,089 | - | - |
| @ Reuters | 23,897,252 | - | - |
| @ Snoop Dogg | 19,309,162 | - | - |
| @ ashton kutcher | 17,221,782 | - | - |
| @ Paris Hilton | 16,826,836 | - | - |
| @ Dwayne Johnson | 15,425,542 | - | - |
| @ Vogue Magazine | 14,352,393 | - | - |
| @ CHANEL | 13,297,841 | - | - |
| @ Marvel Entertainment | 12,470,160 | - | - |
| @ Calvin Harris | 11,974,242 | - | - |
Key Insights & Takeaways
Pranksy uses personal challenges and promises to engage their audience and drive interaction. They frequently highlight their involvement in major NFT projects, which reinforces their credibility and expertise. Their content often blends personal milestones with community engagement, creating a sense of authenticity and connection.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 439,428
- + 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 @pranksy reveals an well-established Twitter presence with 439,428 followers. The account demonstrates a conversation-first approach, averaging 157.5 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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