Lucktastic
A chance to win REAL REWARDS, PRIZES and MORE!
360,493
Followers
222
Following
5,553
Tweets
24.1
Avg Engagement
60
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PlayLucktastic'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:2012-03-08
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:20.4
- Avg Retweets per Tweet:3.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsThe account maintains a steady level of engagement with average likes and retweets. It uses links and hashtags to drive interaction and traffic.
20.4
Avg Likes/Tweet
3.7
Avg Retweets/Tweet
65,262
Total Likes
11,975
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
3
Median Retweets
33
75th Percentile
139
Top Tweet
0.07
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.3%
Original
19.6%
Replies
0.0%
Retweets
3.1%
Quotes
0.0%
Threads
0.4%
With Media
75.2%
With Links
25.0%
With #Tags
22.9%
With @Mentions
50.5%
With Emojis
126
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
98.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.8%
Weekday Posts
20.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 retweets (0% 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 3,200 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 interested in winning prizes, rewards, and opportunities for luck-based events. They are engaged and follow updates closely.
Average
Audience Quality
27.9%
Suspicion Index
42.1%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.3%
Empty Bio
42.8%
<10 Tweets
3.0%
Mass Following (>2K)
0.0%
New (<90 days)
50.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
28.8%
<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.
4,162,682
Total Potential Reach
4
Median Follower Reach
24
75th Percentile Reach
1.2%
>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).
29.7%
Creators
14,848 accounts
27.5%
Consumers
13,731 accounts
42.8%
Dormant
21,421 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):
85
Verified Followers
0.08% of total
8,031
Protected Accounts
8.03% 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 |
|---|---|---|---|
| @JDaIey | 1,228,825 | - | - |
| @RespectJustinB | 563,294 | Fan | Justin Bieber, Kidrauhl, Belieber |
| @YourDailyInt | 258,856 | Curiosity Expert | Curious, Learning, Events |
| @Warx2TheMovie | 230,405 | Filmmaker | Military, Suicide, Terrorism |
| @CblocHD | 200,458 | Influencer | Social Media, Live Streaming, Photography |
| @1drcole | 181,174 | Doctor | Health, Animals, Climate |
| @AMD1_CEO | 162,047 | Musician | Music, LGBT, Empowerment |
| @LaVidaBaseball | 148,633 | Sports Media | Latino culture, baseball, passion |
| @KiltronXEnviro | 104,683 | Pest Control | Vectors, Bedbugs, Mosquitoes |
| @rickiblee | 94,858 | Music Artist | Music, Artist, Rapper |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,310
Followers With Bio
57,690
Followers Without Bio
42.31%
% With Bio
57.69%
% 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 3,200 analyzed591
Combined Engagement
477
Total Likes
114
Total Retweets
118
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
We're in the process of selecting our $1 Million winner. Keep your phone nearby, we could be calling you! https://t.co/nWCt3fhSZM
#Congrats to Larry R. of #Nevada. He is our FIRST #Lucktastic #Millionaire! Watch his BIG #win here: 🍀https://t.co/yc0I1YS6Bi 🍀#blessed https://t.co/AwStQhlo7M
Lucktastic's FIRST #millionaire WILL be revealed in 4 DAYS! Are YOU ready to have your life changed FOREVER? #Lucktastic #ShareTheLuck 🍀💰🍀 https://t.co/J8kbtT0Ec6
We will never forget. https://t.co/sQaFwFGEGo
Watch us #FacebookLive at 7:45pm ET to meet our💰 FIRST Millionaire💰🍀 🙌🏼 🤑 Watch until the end to see how YOU can have the chance to WIN too! https://t.co/73Pm4tyRNW
Key Insights & Takeaways
The account heavily relies on promotions and announcements to attract attention. It uses emojis and hashtags to create a lively and engaging tone. There is a focus on creating excitement around potential life-changing wins.
Strengths
- + Established follower base of 360,493
- + 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 @PlayLucktastic reveals an growing Twitter presence with 360,493 followers. The account demonstrates a content-creator strategy, averaging 24.1 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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