Cameron Gray
Wife: @LorettaGrayVA - Woof: @LunaTheBoston - Proud Jew fighting #Antisemitism - Fan: #Huskers #Dodgers
51,438
Followers
19,664
Following
75,917
Tweets
159.6
Avg Engagement
625
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Cameron_Gray'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:2008-12-09
- Verification:No
- Location:Alexandria, VA
Data Summary
- Tweets Analyzed:3,178
- Avg Likes per Tweet:16.3
- Avg Retweets per Tweet:143.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,178 tweetsOn average, his tweets receive around 2,101 likes and 242 retweets, indicating a moderate to high level of interaction. The top tweets often involve controversial or emotionally charged topics, which drive engagement.
16.3
Avg Likes/Tweet
143.3
Avg Retweets/Tweet
51,815
Total Likes
455,368
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
26
75th Percentile
92,022
Top Tweet
3.1
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
15.6%
Original
40.8%
Replies
28.6%
Retweets
15.0%
Quotes
0.0%
Threads
0.9%
With Media
69.8%
With Links
21.5%
With #Tags
70.2%
With @Mentions
3.7%
With Emojis
121
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.62
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.5%
Weekday Posts
32.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,178 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 908 retweets (29% 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 3,178 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 followersHis audience includes individuals interested in social justice issues, sports, and community events. The engagement suggests a mix of supporters and critics, with a notable focus on current events and public discourse.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
476
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)
81.9%
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.
61,672,772
Total Potential Reach
476
Median Follower Reach
1,878
75th Percentile Reach
37.0%
>1K followers
8.3%
>10K followers
2.1%
>50K followers
0.9%
>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
839
Protected Accounts
8.39% of total
8 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 |
|---|---|---|---|
| @DJPaulyD | 3,528,074 | DJ | Music, DJing, Booking |
| @thereallisaann | 2,030,120 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @Cernovich | 1,152,853 | Author | Hoaxed Movie, Cernovich Watch, Time |
| @brandi_love | 1,108,759 | Pornstar | Conservative, Pornstar, Writing |
| @ACTBrigitte | 901,521 | National Security Expert | National Security, Terrorism, Author |
| @ZachBoychuk | 823,737 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Imamofpeace | 820,219 | Imam | Peace, Advocate, Imam |
| @NOH8Campaign | 799,444 | Activism | equality, bullying, discrimination |
| @pnjaban | 749,436 | - | - |
| @the_ironsheik | 644,428 | Wrestler | wrestling, legend, movie |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,817
Followers With Bio
2,183
Followers Without Bio
78.17%
% With Bio
21.83%
% 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 3,178 analyzed196,040
Combined Engagement
0
Total Likes
196,040
Total Retweets
39,208
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @NASAWebb: 👀 Sneak a peek at the deepest & sharpest infrared image of the early universe ever taken — all in a day’s work for the Webb telescope. (Literally, capturing it took less than a day!) This is Webb’s first image released as we begin to #UnfoldTheUniverse: https://
RT @elonmusk: Whether for or against, please let your elected representatives know what you think about this $1.7 trillion spending bill that they’re trying to pass!
RT @Goodable: In Australia, this football team just won the league championship. Their captain went into the stands to get their waterboy, who has Down's Syndrome, so they could celebrate together. #Humanity 🌏 🇦🇺 https://t.co/beQuezPNan
RT @DynastyProsFF: Let's take a break and watch a clip of Damar Hamlin giving his family some love just prior a game. This is what needs to be seen right now. Please be okay 🙏 https://t.co/SwYdXju05h
RT @rickygervais: This is me pondering whether they'll change any of the words I've used in my work after I'm dead, to spare those who are fragile and easily offended. Words like 'fat' and 'ugly'. And 'cunt' and 'fuck'. And 'fat, ugly, greedy, pathetic little stupid fucking cunt'
Key Insights & Takeaways
Cameron Gray's content often centers around social justice and community issues, reflecting his personal values and activism. He frequently engages with topics related to antisemitism, suggesting a strong focus on this issue in his public persona. His use of hashtags and references to specific events indicates an effort to connect with broader social and political movements.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,438
- + 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 @Cameron_Gray reveals an well-established Twitter presence with 51,438 followers. The account demonstrates a conversation-first approach, averaging 159.6 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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