Lucky7Gaming® 🍀
International esports & gaming entertainment
182,028
Followers
157
Following
17,653
Tweets
1,421.1
Avg Engagement
59
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Lucky7Gaming'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:2012-09-12
- Verification:No
- Location:Australia 🇦🇺
Data Summary
- Tweets Analyzed:3,132
- Avg Likes per Tweet:21.4
- Avg Retweets per Tweet:1,399.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,132 tweetsThe account maintains a steady level of engagement with its followers, indicating a loyal and active community. The use of hashtags and calls to action helps drive interaction.
21.4
Avg Likes/Tweet
1,399.7
Avg Retweets/Tweet
67,014
Total Likes
4,383,935
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
6
Median Retweets
48
75th Percentile
1,945,679
Top Tweet
7.81
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
36.6%
Original
14.8%
Replies
45.5%
Retweets
3.0%
Quotes
0.0%
Threads
0.2%
With Media
61.9%
With Links
40.9%
With #Tags
82.3%
With @Mentions
52.9%
With Emojis
113
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,132 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 1,426 retweets (46% 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 3,132 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 likely gaming enthusiasts, esports fans, and viewers interested in trickshotting and competitive gaming content. The account's international reach suggests a global fanbase.
Good
Audience Quality
15.8%
Suspicion Index
18.2%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.8%
Empty Bio
23.0%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
26.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
71.6%
No URL
10.7%
<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.
30,513,283
Total Potential Reach
39
Median Follower Reach
132
75th Percentile Reach
3.7%
>1K followers
0.4%
>10K followers
0.1%
>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).
44.0%
Creators
21,981 accounts
33.1%
Consumers
16,534 accounts
23.0%
Dormant
11,485 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):
217
Verified Followers
0.21% of total
3,823
Protected Accounts
3.79% 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 |
|---|---|---|---|
| @discord | 4,577,013 | Communication | voice, video, text |
| @6BillionPeople | 2,033,590 | - | - |
| @SinghLions | 1,333,967 | Restaurateur | Food, Travel, Influencer |
| @JDaIey | 1,230,291 | - | - |
| @CybersmileHQ | 1,156,164 | Nonprofit | kindness, equality, inclusion |
| @CSuiteConfess | 1,001,989 | Executive Coach | #MeToo, Executives, Navigating |
| @LogitechG | 883,683 | Tech Company | Gaming, Technology, Innovation |
| @ARTEM_KLYUSHIN | 719,782 | Politician | Russian politics, diplomacy, international relations |
| @G2NiKo | 620,204 | - | - |
| @FredCuellar | 494,379 | Entrepreneur | Diamonds, Author, Motivational Speaker |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,906
Followers With Bio
31,091
Followers Without Bio
69.22%
% With Bio
30.78%
% 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 3,132 analyzed2,904,061
Combined Engagement
0
Total Likes
2,904,061
Total Retweets
580,812
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @TheRealStanLee: https://t.co/dTdDjRvXbs
RT @BernieSanders: I am once again asking you to wear a mask.
RT @FINALLEVEL: At this point, wearing a Mask in public is more of an IQ test..
RT @AOC: When politicians use faith as an excuse to pass and uphold laws that seize control of people’s bodies but not guarantee them healt…
Key Insights & Takeaways
The account frequently promotes its team and events, which helps in building a sense of community and loyalty. The use of verified accounts and emojis suggests an effort to build trust and a friendly brand image. The consistent posting of engaging content and calls to action indicates a strategic approach to audience interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 182,028
- + 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 @Lucky7Gaming reveals an exceptionally influential Twitter presence with 182,028 followers. The account demonstrates a content-creator strategy, averaging 1,421.1 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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