AJ Vaynerchuk
Co-founder: @VaynerSports, @vspass & @VaynerMedia - Investor: @Uber, @venmo
97.126
Followers
7.451
Following
5.735
Tweets
108,4
Avg Engagement
973
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ajv'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:2007-02-24
- Verification:No
- Location:New York, USA
Data Summary
- Tweets Analyzed:3.240
- Avg Likes per Tweet:46,1
- Avg Retweets per Tweet:62,3
- Followers Analyzed:9.996
Engagement Analysis
Based on 3.240 tweetsAjv's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His use of humor and relatable content helps drive engagement and maintain a loyal following.
46,1
Avg Likes/Tweet
62,3
Avg Retweets/Tweet
149.446
Total Likes
201.756
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
51
75th Percentile
46.007
Top Tweet
1,12
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
12,7%
Original
58,1%
Replies
18,9%
Retweets
10,2%
Quotes
0,0%
Threads
0,2%
With Media
37,8%
With Links
9,4%
With #Tags
80,8%
With @Mentions
22,9%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4,56
Reply/Original Ratio
0,54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73,9%
Weekday Posts
26,1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.240 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 613 retweets (19% 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 3.240 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 9.996 followersHis audience includes sports enthusiasts, NFT collectors, and tech investors who are interested in both entertainment and innovation. The mix of personal and professional content suggests a diverse and engaged follower base.
Good
Audience Quality
17,4%
Suspicion Index
12,8%
Low-Quality %
200
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
18,1%
Empty Bio
12,9%
<10 Tweets
29,1%
Mass Following (>2K)
0,0%
New (<90 days)
24,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
65,3%
No URL
7,6%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
53.310.636
Total Potential Reach
200
Median Follower Reach
953
75th Percentile Reach
24,0%
>1K followers
4,5%
>10K followers
1,2%
>50K followers
0,6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67,3%
Creators
6.726 accounts
19,8%
Consumers
1.984 accounts
12,9%
Dormant
1.286 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):
1.179
Verified Followers
11.79% of total
281
Protected Accounts
2.81% 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 |
|---|---|---|---|
| @AdamSchefter | 10.372.788 | Sports Journalist | NFL, Insider, Podcast |
| @SirKunt | 2.290.463 | - | - |
| @RGIII | 2.200.585 | Athlete | Family, Football, Advocacy |
| @opensea | 2.026.863 | NFT Marketplace | NFTs, Marketplace, Discover |
| @SInow | 1.857.606 | Sports Media | Sports, TikTok, Instagram |
| @vitorbelfort | 1.428.859 | MMA Fighter | UFC, Champion, Performance Training |
| @TheBinanceNFT | 1.040.837 | - | - |
| @BaronDavis | 1.025.368 | Entrepreneur | Investor, Finesser, Creator |
| @Theholisticpsyc | 1.015.304 | Psychologist | Mental health, Healing, Self-care |
| @TrungTPhan | 657.060 | Writer | business, tech, podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8.194
Followers With Bio
1.806
Followers Without Bio
81.94%
% With Bio
18.06%
% 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 3.240 analyzed96.673
Combined Engagement
9.397
Total Likes
87.276
Total Retweets
19.335
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @VitalikButerin: And we finalized! Happy merge all. This is a big moment for the Ethereum ecosystem. Everyone who helped make the merge happen should feel very proud today.
RT @ItsRetrop: the dentist said i grind in my sleep. he real af for that
RT @HolderStephen: Dwayne Haskins’ death is another reminder that we should pay attention to how we talk about athletes even when they fall short of expectations. We should always remember to treat them with humanity. It’s just a game. I try to follow this advice but admittedly f
I’ll tell you what… Scrolling through Twitter and seeing your brother’s face every 3rd or 4th tweet is quite the experience 😂
This is what shooting 100% from the field looks like. My new default clip to send to any NFT cynic. Proud of you big bro 👏🏼 https://t.co/qeL7gccYfH
Key Insights & Takeaways
Ajv blends personal stories with professional achievements to build relatability and credibility. He leverages humor and nostalgia to connect with his audience, making his content more engaging. His focus on NFTs and sports highlights his interest in emerging technologies and entertainment sectors.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97.126
- + 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 @ajv reveals an well-established Twitter presence with 97.126 followers. The account demonstrates a conversation-first approach, averaging 108,4 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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