Blake Martinez
NYG LB #54 nfl Pokémon card king! hit up if you have any sealed or card collection!
59,854
Followers
915
Following
5,634
Tweets
829.1
Avg Engagement
317
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Big__Blake50'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:2012-02-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,153
- Avg Likes per Tweet:115.2
- Avg Retweets per Tweet:713.9
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,153 tweetsHis tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. He frequently shares personal achievements and gratitude, which resonate well with his followers.
115.2
Avg Likes/Tweet
713.9
Avg Retweets/Tweet
363,337
Total Likes
2,250,836
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
3
Median Retweets
111
75th Percentile
875,012
Top Tweet
13.85
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
16.0%
Original
38.1%
Replies
39.7%
Retweets
6.2%
Quotes
0.0%
Threads
0.6%
With Media
47.4%
With Links
28.8%
With #Tags
87.5%
With @Mentions
32.1%
With Emojis
97
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.38
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,153 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 1,252 retweets (40% 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 3,153 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 9,998 followersHis audience includes NFL fans, Pokémon collectors, and individuals interested in sports and trading cards. Followers are likely to be fans of the New York Giants and collectors looking to connect with other enthusiasts.
Average
Audience Quality
20.3%
Suspicion Index
24.7%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
17.3%
<10 Tweets
11.0%
Mass Following (>2K)
0.0%
New (<90 days)
45.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
11.2%
<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.
30,530,175
Total Potential Reach
59
Median Follower Reach
203
75th Percentile Reach
5.4%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.0%
Creators
6,498 accounts
17.7%
Consumers
1,772 accounts
17.3%
Dormant
1,728 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):
119
Verified Followers
1.19% of total
1,023
Protected Accounts
10.23% of total
7 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 | 14,075,124 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BryceHall | 1,355,103 | Influencer | videos, email, business |
| @NoahJ456 | 1,205,477 | Content Creator | Gaming, Content Creation, Esports |
| @WhistleBlitz | 1,139,106 | - | - |
| @brookeab | 926,828 | Streamer | Gaming, Streaming, Content Creation |
| @neekolul | 700,329 | Streamer | Gaming, Streaming, Content Creation |
| @PlayersTribune | 641,421 | Sports Media | Sports, Olympics, Athletes |
| @SlimJim | 516,106 | Snack Influencer | meat, long boi, champions |
| @Bridget | 487,652 | Podcaster | Reality TV, Beaches, Paranormal |
| @IamKrisLondon | 454,235 | YouTuber | Basketball, YouTube, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,175
Followers With Bio
3,825
Followers Without Bio
61.75%
% With Bio
38.25%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,153 analyzed1,222,299
Combined Engagement
0
Total Likes
1,222,299
Total Retweets
244,460
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @RandallTime: If the Cleveland Cavaliers win the 2018 NBA finals I’ll buy everyone who retweet’s this a jersey...
RT @MSDEagles: It is with Great sadness that our Football Family has learned about the death of Aaron Feis. He was our Assistant Football Coach and security guard. He selflessly shielded students from the shooter when he was shot. He died a hero and he will forever be in our hear
RT @AaronRodgers12: Please take a minute to watch this and if you can, take a few seconds to retweet this using the #retweet4good All the money goes to a great organization for the immediate needs and the recovery efforts for the #CampFireParadise Thank you 🙏🏻 #ButteStrong #pay
RT @Nadeshot: 1 million retweets in 24 hours and you pick where it goes on my body(face excluded) https://t.co/LYyMQC2COX
RT @IAmSteveHarvey: Every successful person must do this. https://t.co/mK5bAuErjd
Key Insights & Takeaways
He blends his NFL career with his passion for Pokémon cards, creating a unique personal brand. His tweets often highlight his achievements and gratitude, which foster a sense of connection with his audience. He uses emojis and links to enhance engagement and provide additional context to his posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,854
- + 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 @Big__Blake50 reveals an well-established Twitter presence with 59,854 followers. The account demonstrates a conversation-first approach, averaging 829.1 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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