1,093,750
Followers
24,084
Following
29,048
Tweets
874.9
Avg Engagement
6,624
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @thegame'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:2009-04-04
- Verification:No
- Location:Far away from a sucka
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:647.1
- Avg Retweets per Tweet:227.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,197 tweetsTheir tweets receive high engagement, with an average of 27,617 likes and 8,200 retweets per post.
647.1
Avg Likes/Tweet
227.7
Avg Retweets/Tweet
2,068,813
Total Likes
728,095
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
48
Median Likes
13
Median Retweets
155
75th Percentile
83,311
Top Tweet
0.8
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
94.0%
Original
4.2%
Replies
1.4%
Retweets
0.4%
Quotes
0.0%
Threads
1.8%
With Media
79.5%
With Links
35.4%
With #Tags
25.1%
With @Mentions
21.4%
With Emojis
102
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 44 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 3,197 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 followersThe user likely appeals to a broad audience interested in emotional and psychological insights.
Average
Audience Quality
23.4%
Suspicion Index
25.0%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.6%
Empty Bio
25.6%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
53.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.7%
No URL
16.4%
<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.
37,901,655
Total Potential Reach
34
Median Follower Reach
163
75th Percentile Reach
6.2%
>1K followers
0.7%
>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).
51.9%
Creators
25,954 accounts
22.4%
Consumers
11,225 accounts
25.6%
Dormant
12,821 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):
897
Verified Followers
0.89% of total
10,805
Protected Accounts
10.7% of total
5 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 |
|---|---|---|---|
| @Logic301 | 2,204,533 | Rapper | Music, Bobby Tarantino III, Logic |
| @KendraWilkinson | 2,185,062 | Entrepreneur | mother, author, real estate |
| @reece_youngking | 1,815,716 | Rapper | music, rap, creativity |
| @thisiscro | 1,663,792 | Musician | Music, Fashion, Lifestyle |
| @JASMINEVILLEGAS | 1,546,386 | Singer | Music, Dreaming, Life |
| @BrianDEvans | 1,145,357 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @BaronDavis | 1,031,288 | Entrepreneur | Investor, Finesser, Creator |
| @adam22 | 917,703 | Podcaster | Music, BMX, Fashion |
| @theneedledrop | 906,577 | Music Critic | Music, Veganism, YouTube |
| @RapMais | 734,100 | Media | Rap, Hip-hop, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,467
Followers With Bio
32,532
Followers Without Bio
67.79%
% With Bio
32.21%
% 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 3,197 analyzed278,426
Combined Engagement
152,405
Total Likes
126,021
Total Retweets
55,685
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
RT @PaypaTreal: Damn that’s crazy. How come they don’t be finding the kids that get shipped around like they do these drugs 🤨? https://t.co…
Loyalty is attractive as fuck.
If you break someone’s heart & they still wish you the best, you’ve probably just lost the greatest thing for you.
If your girl ain’t ya best friend, ain’t no relationship.
Take care of your body, you only get one.
Key Insights & Takeaways
The user focuses on emotional depth and human connection. They use strong, direct language to convey their messages. Their content often challenges conventional relationship dynamics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,093,750
- + 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 @thegame reveals an well-established Twitter presence with 1,093,750 followers. The account demonstrates a content-creator strategy, averaging 874.9 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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