Station Casinos
📍 Where the locals hang out 🎰
60.945
Followers
8.254
Following
18.217
Tweets
10,5
Avg Engagement
1.064
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stationcasinos'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:2008-11-10
- Verification:Yes
- Location:Las Vegas, NV
Data Summary
- Tweets Analyzed:3.242
- Avg Likes per Tweet:6,2
- Avg Retweets per Tweet:4,2
- Followers Analyzed:9.998
Engagement Analysis
Based on 3.242 tweetsThe account shows average engagement with likes and retweets, indicating a steady but not high level of interaction.
6,2
Avg Likes/Tweet
4,2
Avg Retweets/Tweet
20.191
Total Likes
13.732
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
8
75th Percentile
978
Top Tweet
0,17
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
27,7%
Original
19,6%
Replies
45,6%
Retweets
7,2%
Quotes
0,0%
Threads
0,7%
With Media
77,0%
With Links
19,2%
With #Tags
73,8%
With @Mentions
39,0%
With Emojis
134
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,71
Reply/Original Ratio
0,16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77,3%
Weekday Posts
22,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.242 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 1.477 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 3.242 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 followersThe audience likely includes locals and tourists interested in nightlife, gambling, and Vegas experiences.
Average
Audience Quality
25,9%
Suspicion Index
31,2%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43,3%
Empty Bio
27,7%
<10 Tweets
14,9%
Mass Following (>2K)
0,0%
New (<90 days)
52,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
81,9%
No URL
19,0%
<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.
22.196.742
Total Potential Reach
43
Median Follower Reach
170
75th Percentile Reach
6,6%
>1K followers
1,0%
>10K followers
0,3%
>50K followers
0,2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52,1%
Creators
5.213 accounts
20,2%
Consumers
2.016 accounts
27,7%
Dormant
2.769 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):
162
Verified Followers
1.62% of total
1.100
Protected Accounts
11.0% of total
6 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 | 14.075.204 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GoldenKnights | 542.867 | Hockey Team | Hockey, Vegas, Sports |
| @iheartmindy | 307.850 | Political Commentator | Conservatism, Politics, Patriotism |
| @reviewjournal | 302.573 | News outlet | News, Southern Nevada, Tips |
| @pcastagnoli | 294.149 | Musician | Music, Technology, Entrepreneurship |
| @ShitCoinBscGem | 262.152 | - | - |
| @JohnLukeNYC | 231.009 | Auctioneer | Storage Wars, Auctioneer, New York |
| @BookitWithTrent | 176.339 | - | - |
| @StevenTDennis | 170.472 | Journalist | Politics, Journalism, Real Estate |
| @derekatlas_NY | 169.004 | Entertainer | Entertainer, model, companion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5.671
Followers With Bio
4.329
Followers Without Bio
56.71%
% With Bio
43.29%
% 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 3.242 analyzed3.561
Combined Engagement
605
Total Likes
2.956
Total Retweets
712
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @GoldenKnights: IT’S NOT A DESERT MIRAGE THE VEGAS GOLDEN KNIGHTS HAVE WON THE STANLEY CUP!!!!! #CupInSix https://t.co/b26DnKWCdg
When you’re in Vegas and 2 a.m. hits https://t.co/la8icd1kPP
RT @Vegas: Las Vegas is now open! The lights are on. The doors are open. And we can’t wait to see you. Welcome back to fabulous Las Vegas. #OnlyVegas https://t.co/xm3i3tawRe
RT @Raiders: football
RT @VegasIssues: When the billboards in town become self aware. 💀 https://t.co/iHOrnghi4g
Key Insights & Takeaways
The content often references specific Vegas moments, suggesting a focus on local experiences and storytelling. The use of links in top tweets indicates a strategy to drive traffic or promote specific content. The verified status may help build trust with followers, especially in a competitive market like Las Vegas.
Strengths
- + Established follower base of 60.945
- + 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 @stationcasinos reveals an growing Twitter presence with 60.945 followers. The account demonstrates a content-creator strategy, averaging 10,5 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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