David Vance
I will not submit. I will not comply. 🩸
233,751
Followers
1,464
Following
27,542
Tweets
696.0
Avg Engagement
1,369
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DVATW'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:2009-02-02
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:500.3
- Avg Retweets per Tweet:195.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,187 tweetsTheir tweets receive an average of 43,700 likes and 8,932 retweets, indicating a highly engaged audience. The verified user base of 3.0% suggests a mix of public figures and regular users.
500.3
Avg Likes/Tweet
195.7
Avg Retweets/Tweet
1,594,508
Total Likes
623,795
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
57
Median Likes
16
Median Retweets
260
75th Percentile
113,157
Top Tweet
2.98
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
65.0%
Original
17.6%
Replies
4.3%
Retweets
13.1%
Quotes
0.0%
Threads
0.1%
With Media
76.7%
With Links
3.8%
With #Tags
27.9%
With @Mentions
14.0%
With Emojis
78
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
3.04
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 137 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 3,187 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 followersDVATW's audience likely includes politically engaged individuals and those interested in social commentary. Their content resonates with people who value strong opinions and direct messaging.
Good
Audience Quality
19.8%
Suspicion Index
25.1%
Low-Quality %
81
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
13.4%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
36.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
8.4%
<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.
64,118,816
Total Potential Reach
81
Median Follower Reach
364
75th Percentile Reach
12.3%
>1K followers
1.1%
>10K followers
0.2%
>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).
72.4%
Creators
36,217 accounts
14.1%
Consumers
7,073 accounts
13.4%
Dormant
6,710 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):
3,085
Verified Followers
3.05% of total
8,689
Protected Accounts
8.6% of total
6 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 | 14,099,864 | Wrestler | Wrestling, Motivation, Self-promotion |
| @anjanaomkashyap | 4,789,882 | Journalist | News, Journalism, Politics |
| @suthichai | 3,098,378 | Entrepreneur | business, media, entrepreneurship |
| @channelone_rus | 2,953,349 | - | - |
| @Ghonim | 2,861,091 | - | - |
| @catturd2 | 1,687,441 | Satirist | Politics, Podcasting, Writing |
| @majorgauravarya | 1,504,860 | Editor | Military, National Security, Defense |
| @atensnut | 766,022 | Author | Author, Speaker, Trump |
| @mtgreenee | 712,787 | Politician | Christian, Pro-Life, Pro-Gun |
| @ShefVaidya | 696,967 | Author | Travel, Temples, Textiles |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,307
Followers With Bio
38,682
Followers Without Bio
61.7%
% With Bio
38.3%
% 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 3,187 analyzed347,606
Combined Engagement
291,134
Total Likes
56,472
Total Retweets
69,521
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Be more like Nigeria. https://t.co/6U6vYQS02x
Well looky here. The Head of the Ukrainian national bank has bought himself a new rolls Royce. Keep donating to Ukraine…..times are so tough. https://t.co/rNqx62iweE https://t.co/iZzk0Y9JXe
This is how we deal with them. https://t.co/7Z6gkcyVKF
Russian “toxic masculinity”…👇🏻 https://t.co/b4dHW5Sbos
It would be interesting if they tried this outside a mosque… https://t.co/bTWApqfy99
Key Insights & Takeaways
The user frequently uses provocative and sarcastic language to challenge authority and compliance. They often reference political and social issues, particularly involving countries like Nigeria and Ukraine. Their content is designed to provoke thought and discussion, often with a call to action or criticism.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 233,751
- + Strong original content creation
- + 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 @DVATW reveals an well-established Twitter presence with 233,751 followers. The account demonstrates a content-creator strategy, averaging 696.0 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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