Obey Alliance
Breaking the limits of Gaming and Entertainment since 2012 | Exclusive Organization #YouShallObey 🌎
383,075
Followers
89
Following
32,715
Tweets
199.4
Avg Engagement
228
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ObeyAlliance'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: Macro Influencer (100K+)
- Account Age:2012-03-01
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:166.2
- Avg Retweets per Tweet:33.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,209 tweetsThe account maintains high engagement with an average of 4,102 likes and 834 retweets per tweet. Interactive tweets, such as calls to action, drive significant user participation.
166.2
Avg Likes/Tweet
33.2
Avg Retweets/Tweet
533,377
Total Likes
106,537
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
10
Median Retweets
214
75th Percentile
8,867
Top Tweet
0.52
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
44.9%
Original
30.1%
Replies
23.2%
Retweets
1.7%
Quotes
0.0%
Threads
0.1%
With Media
49.1%
With Links
26.9%
With #Tags
77.1%
With @Mentions
49.0%
With Emojis
96
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.6%
Weekday Posts
32.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,209 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 746 retweets (23% 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 3,209 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 audience is primarily interested in gaming and entertainment, with a preference for exclusive content and community interaction. They are likely active on social media and value engagement with influencers.
Good
Audience Quality
18.3%
Suspicion Index
16.3%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.7%
Empty Bio
17.9%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
46.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
68.6%
No URL
8.9%
<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.
45,065,224
Total Potential Reach
42
Median Follower Reach
223
75th Percentile Reach
7.0%
>1K followers
0.7%
>10K followers
0.1%
>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).
59.7%
Creators
29,838 accounts
22.4%
Consumers
11,210 accounts
17.9%
Dormant
8,952 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):
1,535
Verified Followers
1.52% of total
4,469
Protected Accounts
4.42% of total
4 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 | 14,104,045 | Wrestler | Wrestling, Motivation, Self-promotion |
| @colortheory | 2,150,503 | Musician | Music, 80s, Synthesizers |
| @GameStop | 1,904,368 | Retail | Video games, Support, Retro gaming |
| @GFuelEnergy | 1,669,045 | Energy Drink | Esports, Energy Drink, Gaming |
| @BrianDEvans | 1,151,296 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @sofizamolo | 1,126,014 | Model | Fashion, Television, Blogging |
| @BartBaker | 958,043 | Content Creator | Crypto, China, Music |
| @Febatista | 885,979 | Youtuber | Gaming, Nerd Culture, Content Creation |
| @FortTory | 481,553 | Gamer | Fortnite, Leaks, News |
| @MarioNawfal | 439,264 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
75,138
Followers With Bio
25,861
Followers Without Bio
74.39%
% With Bio
25.61%
% 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 3,209 analyzed31,819
Combined Engagement
22,170
Total Likes
9,649
Total Retweets
6,364
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
We paid a lot of money for this... #YouShallObey https://t.co/FrF13qNJDV
RT @Sxvxn: I built @Ninja in @FortniteGame using 7,000+ blocks. Who should I do next? #FortniteBlockParty https://t.co/YaePvtOz5X
Let’s play a game. Like and Reply to this tweet if you want to join Obey, we’ll pick a winner tomorrow 😎
We want new members, who wants in? 🤔
It’s time for us to start recruiting again...
Key Insights & Takeaways
The account uses branded hashtags like #YouShallObey to build a unique identity and community. Interactive tweets, such as asking for likes and replies, are effective in boosting engagement. Paid content and exclusivity are key themes that attract and retain followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 383,075
- + 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 @ObeyAlliance reveals an well-established Twitter presence with 383,075 followers. The account demonstrates a content-creator strategy, averaging 199.4 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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