Champ
Former gaming YouTuber turned Golfer living on Rottnest Island... yes the island with those happy little Quokkas!
69,979
Followers
903
Following
88,193
Tweets
204.3
Avg Engagement
262
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ChampChong'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:2009-05-26
- Verification:No
- Location:Rottnest Island
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:24.1
- Avg Retweets per Tweet:180.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsChampChong's tweets typically receive a high number of likes and some retweets, indicating a strong and active audience. His content is well-received and often shared within his community.
24.1
Avg Likes/Tweet
180.2
Avg Retweets/Tweet
78,040
Total Likes
582,346
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
26
75th Percentile
97,888
Top Tweet
2.92
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
30.6%
Original
64.8%
Replies
2.0%
Retweets
2.5%
Quotes
0.0%
Threads
0.6%
With Media
32.2%
With Links
3.4%
With #Tags
65.1%
With @Mentions
24.8%
With Emojis
101
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.12
Reply/Original Ratio
1.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 66 retweets (2% 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 3,232 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 followersHis audience includes gaming enthusiasts, golfers, and nature lovers, particularly those interested in Rottnest Island and its unique wildlife. The community is engaged and appreciates his lighthearted and relatable content.
Average
Audience Quality
22.7%
Suspicion Index
21.8%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.7%
Empty Bio
15.4%
<10 Tweets
17.2%
Mass Following (>2K)
0.0%
New (<90 days)
54.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.3%
No URL
8.8%
<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.
39,892,940
Total Potential Reach
50
Median Follower Reach
203
75th Percentile Reach
6.8%
>1K followers
1.3%
>10K followers
0.5%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.5%
Creators
6,453 accounts
20.0%
Consumers
2,002 accounts
15.4%
Dormant
1,545 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):
100
Verified Followers
1.0% of total
938
Protected Accounts
9.38% 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 |
|---|---|---|---|
| @JohnCena | 14,093,622 | Wrestler | Wrestling, Motivation, Self-promotion |
| @PatMcAfeeShow | 2,841,360 | Sports commentator | Sports, Betting, Entertainment |
| @Idubbbz | 1,355,144 | YouTuber | boy, boxer, mullet |
| @DJIGlobal | 1,343,098 | Drone Manufacturer | aerial, handheld, cinematic |
| @joncoopertweets | 1,283,865 | Political Strategist | Politics, Fundraising, Campaigns |
| @JDaIey | 1,245,602 | - | - |
| @WorldWideWob | 1,104,698 | Sports Analyst | NBA, Basketball, Fantasy Sports |
| @BaronDavis | 1,020,742 | Entrepreneur | Investor, Finesser, Creator |
| @darthlux | 899,024 | Influencer | cats, kittens, big titties |
| @AFTVMedia | 809,539 | Media | Football, Arsenal, Fans |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,531
Followers With Bio
3,469
Followers Without Bio
65.31%
% With Bio
34.69%
% 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 3,232 analyzed406,660
Combined Engagement
0
Total Likes
406,660
Total Retweets
81,332
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @culturaltutor: The Danger of Minimalist Design (& the death of detail) A short thread... https://t.co/byrgyZzl6O
RT @odala__: Each second more chaotic than the last https://t.co/sCpEjOtkFK
RT @WholesomeMeme: https://t.co/JSeZjcCuLf
RT @RealBillRussell: An announcement… https://t.co/KMJ7pG4R5Z
RT @sharkstomeetyou: https://t.co/8mzVP4GQcJ
Key Insights & Takeaways
He leverages his personal brand and lifestyle to connect with followers. His content often includes humor and local references, which resonate with his audience. Engagement is driven by his authenticity and the novelty of his location and experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,979
- + High community engagement through conversations
- + 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 @ChampChong reveals an well-established Twitter presence with 69,979 followers. The account demonstrates a conversation-first approach, averaging 204.3 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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