Blake Gray
1,660,823
Followers
4,480
Following
3,177
Tweets
6,628.8
Avg Engagement
626
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BlakeGray'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: Mega Influencer (1M+)
- Account Age:2015-07-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,156
- Avg Likes per Tweet:5,852.7
- Avg Retweets per Tweet:776.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,156 tweetsBlakeGray's tweets receive an average of 52,950 likes and 7,694 retweets, indicating strong audience interaction. His content is well-received and often shared across his network.
5,852.7
Avg Likes/Tweet
776.1
Avg Retweets/Tweet
18,471,066
Total Likes
2,449,287
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4,633
Median Likes
452
Median Retweets
8,884
75th Percentile
129,576
Top Tweet
3.99
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
84.9%
Original
4.3%
Replies
7.3%
Retweets
3.5%
Quotes
0.0%
Threads
0.7%
With Media
19.7%
With Links
5.9%
With #Tags
19.9%
With @Mentions
35.0%
With Emojis
52
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,156 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 231 retweets (7% 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 3,156 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 followersHis audience appears to be primarily young adults interested in entertainment and social media trends. They engage with his content through likes and retweets, showing interest in his personal and professional life.
Below Average
Audience Quality
38.6%
Suspicion Index
49.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
67.6%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
82.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
53.7%
<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.
8,724,382
Total Potential Reach
1
Median Follower Reach
8
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
15.0%
Creators
7,522 accounts
17.4%
Consumers
8,697 accounts
67.6%
Dormant
33,781 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):
89
Verified Followers
0.09% of total
11,099
Protected Accounts
11.1% of total
2 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 | 14,105,386 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AMAs | 1,972,752 | Awards Show | Music, Awards, Fans |
| @vinniehacker | 908,108 | Influencer | Gaming, Content Creation, Fashion |
| @EmblemThree | 675,815 | Musician | Music, Band, Business |
| @unkonfined | 657,271 | Influencer | - |
| @Simonna | 503,236 | Actress | Film & TV, Singer, Veggie lover |
| @Uldouz | 461,413 | Influencer | Women's rights, Charity, Social media |
| @CFDA | 447,897 | Fashion Council | Fashion, Design, Association |
| @Moreno | 430,157 | Influencer | Business, Manager, Serious |
| @zammit_marc | 387,986 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,485
Followers With Bio
44,515
Followers Without Bio
55.48%
% With Bio
44.52%
% 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 3,156 analyzed396,930
Combined Engagement
202,625
Total Likes
194,305
Total Retweets
79,386
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
0%
With Links
Topical Analysis:
RT @TomBrady: These past two months I’ve realized my place is still on the field and not in the stands. That time will come. But it’s not n…
let’s be friends so we can make out
and we are also on our way
RT @trvisXX: I still believe In Santa I don’t give a fuck
I think it’s hot when a girl slides into my dms.. be bold with it sweetheart
Key Insights & Takeaways
His tweets often include flirtatious and suggestive content, which drives engagement. He uses personal and bold statements to connect with his audience. His account is linked to United Talent, suggesting a professional background in the entertainment industry.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,660,823
- + 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 @BlakeGray reveals an exceptionally influential Twitter presence with 1,660,823 followers. The account demonstrates a content-creator strategy, averaging 6,628.8 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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