PokerGO Tour
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52,457
Followers
562
Following
20,596
Tweets
12.7
Avg Engagement
555
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PokerGOTour'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:2015-01-22
- Verification:No
- Location:Las Vegas, NV
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:10.4
- Avg Retweets per Tweet:2.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account has a steady engagement rate with an average of 413 likes and 49 retweets per tweet. The content is well-received and shared by the community.
10.4
Avg Likes/Tweet
2.3
Avg Retweets/Tweet
33,932
Total Likes
7,466
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
12
75th Percentile
727
Top Tweet
0.24
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
83.8%
Original
4.9%
Replies
10.0%
Retweets
1.2%
Quotes
0.0%
Threads
0.5%
With Media
96.6%
With Links
38.1%
With #Tags
83.3%
With @Mentions
51.3%
With Emojis
196
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.9%
Weekday Posts
21.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 325 retweets (10% 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 3,250 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 10,000 followersThe audience is primarily poker enthusiasts and fans of poker tournaments. They are interested in player updates, event results, and promotional offers.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
100.0%
<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.
4,599,219
Total Potential Reach
24
Median Follower Reach
106
75th Percentile Reach
4.2%
>1K followers
0.6%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
723
Protected Accounts
7.23% 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 |
|---|---|---|---|
| @doq | 344,410 | Poker Player | Poker, YouTube, Content creation |
| @Annakhait | 310,161 | Ministry | Jesus, Animals, Survivor |
| @cryptoarthur92 | 244,746 | Crypto Promoter | Crypto, NFT, Promoter |
| @KeyboardMonkey3 | 167,969 | Trader | equity, jpeg, trading |
| @YoHViral | 142,870 | - | - |
| @GoodpodsHQ | 96,820 | Podcast App | Podcasts, Friends, Influencers |
| @KatieOfficialUK | 87,647 | Singer | Music, London, Dreaming |
| @EricWorre | 86,315 | Network Marketer | Network Marketing, Speaker, Entrepreneur |
| @TLDIfansUnite | 70,424 | - | - |
| @rivatez | 68,008 | Entrepreneur | business, important, private |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,321
Followers With Bio
4,679
Followers Without Bio
53.21%
% With Bio
46.79%
% 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 3,250 analyzed3,015
Combined Engagement
2,731
Total Likes
284
Total Retweets
603
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
In his first major victory since 2013 @RealKidPoker wins PokerGO Cup Event 7: $50,000 NLH for $700,000‼️🏆 📰https://t.co/9TXSKVJAoC
Phil Ivey is on fire in North Cyprus! He's won more than $2,800,000 in April and looks to be very much back on top of the poker world. https://t.co/uOZdiP5sOC
Statement regarding the PGT status of Ali Imsirovic and Jake Schindler. 🔗 - https://t.co/P1CXlpOVJi https://t.co/WWFsyrOkkw
Kings hold and Hossein Ensan wins the 2019 @WSOP Main Event for $10,000,000! 🇩🇪🥇💰 https://t.co/bIX0setWs3
Coming soon to @PokerGO... #HighStakesPoker https://t.co/a83Bu43rDz
Key Insights & Takeaways
The account emphasizes major poker victories and player milestones, which attract attention and engagement. Promotional content, such as subscription codes, is used to drive conversions and increase follower interaction. News and updates on high-profile players like Phil Ivey and RealKidPoker are key drivers of engagement and follower interest.
Strengths
- + Established follower base of 52,457
- + 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 @PokerGOTour reveals an growing Twitter presence with 52,457 followers. The account demonstrates a content-creator strategy, averaging 12.7 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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