Vocativ
Beneath the surface, the bigger story. Facebook: https://www.facebook.com/unsupportedbrowser YouTube: https://voc.tv/YouTube.
51,330
Followers
3,355
Following
45,638
Tweets
109.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @vocativ'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:2011-09-19
- Verification:No
- Location:New York, New York
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:65.8
- Avg Retweets per Tweet:44.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweetsThe account has high average likes and retweets, indicating strong audience interaction. Their tweets often generate significant discussion, especially around sensitive or controversial topics.
65.8
Avg Likes/Tweet
44.1
Avg Retweets/Tweet
210,365
Total Likes
141,033
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
15
75th Percentile
166,875
Top Tweet
2.14
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
98.8%
Original
0.6%
Replies
0.5%
Retweets
0.0%
Quotes
0.0%
Threads
0.5%
With Media
99.5%
With Links
6.3%
With #Tags
4.5%
With @Mentions
23.0%
With Emojis
100
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 16 retweets (1% 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 3,199 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 10,000 followersVocativ's audience is likely interested in social justice, human rights, and investigative journalism. They are drawn to content that challenges mainstream narratives and highlights marginalized voices.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
117
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.4%
No URL
100.0%
<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.
10,361,092
Total Potential Reach
117
Median Follower Reach
361
75th Percentile Reach
9.6%
>1K followers
1.2%
>10K followers
0.3%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
2,376
Protected Accounts
23.76% of total
9 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 |
|---|---|---|---|
| @ZachBoychuk | 823,788 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @JaroslawKuzniar | 590,032 | - | - |
| @Razarumi | 577,294 | Journalist | Journalism, public policy, intl development |
| @trafficbutter | 381,861 | Traffic Reporter | Traffic Updates, Useful Info, Avoiding Jams |
| @paulwaugh | 229,296 | Political Commentator | Politics, News, Analysis |
| @IiyamaAkari | 210,876 | Researcher | Islam, World Affairs, Research |
| @5alfan1 | 160,208 | Writer | Politics, Wisdom, Life Experience |
| @africaupdates | 141,539 | News Outlet | Africa News, Africa Business, Africa Tech |
| @THChumor | 131,530 | Cannabis Influencer | Weed, Enlightenment, Daily Posts |
| @MelissaOnline | 122,251 | Entrepreneur | Entrepreneurship, Coffee, Action |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,450
Followers With Bio
3,550
Followers Without Bio
64.5%
% With Bio
35.5%
% 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 3,199 analyzed223,234
Combined Engagement
132,168
Total Likes
91,066
Total Retweets
44,647
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Tokyo has a huge problem with perverts on public transportation... and the police want women to fight back! https://t.co/O1jM8OUHVW
People in China are dumping their Dolce & Gabbana in the TRASH over accusations of racism https://t.co/bhhCIkOqTr
Christian missionaries are BRIBING indigenous people to convert for food and clothing https://t.co/K0pcNlgTYe
These Muslim clerics are doing exorcisms on LGBTQ people to 'cure' them... and it looks terrifying https://t.co/YE3ERB08me
This Russian student threw bleach on men’s crotches to stop their 'manspreading' on trains https://t.co/fp0pdbABJM
Key Insights & Takeaways
The content often addresses societal issues and human rights concerns The tweets are designed to provoke debate and raise awareness The use of provocative headlines and real-world examples drives engagement
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,330
- + 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 @vocativ reveals an well-established Twitter presence with 51,330 followers. The account demonstrates a content-creator strategy, averaging 109.8 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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