JAKE BUCKLEY 🇦🇺
Aussie. Football. Creator. Presenter. Commentator. Adelaide/Newcastle United. Business Email: [email protected]
70,476
Followers
837
Following
13,609
Tweets
477.5
Avg Engagement
121
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheMasterBucks'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:2010-09-28
- Verification:No
- Location:Adelaide, South Australia
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:315.3
- Avg Retweets per Tweet:162.3
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,250 tweetsThe account shows high engagement with an average of 24,856 likes and 2,368 retweets per tweet. This suggests a loyal and active community that interacts frequently with the content.
315.3
Avg Likes/Tweet
162.3
Avg Retweets/Tweet
1,024,669
Total Likes
527,352
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
50
Median Likes
1
Median Retweets
144
75th Percentile
68,280
Top Tweet
6.78
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
41.2%
Original
48.1%
Replies
2.5%
Retweets
8.2%
Quotes
0.0%
Threads
0.5%
With Media
40.7%
With Links
20.6%
With #Tags
52.3%
With @Mentions
32.1%
With Emojis
106
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
3.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.8%
Weekday Posts
34.2%
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 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 81 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 3,250 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 10,999 followersThe audience primarily consists of football fans, especially those interested in European leagues and players. The content appeals to both casual and dedicated followers of the sport.
Average
Audience Quality
22.2%
Suspicion Index
24.1%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.0%
Empty Bio
18.9%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
51.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
11.2%
<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.
11,720,079
Total Potential Reach
44
Median Follower Reach
176
75th Percentile Reach
5.4%
>1K followers
0.6%
>10K followers
0.2%
>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).
60.6%
Creators
6,664 accounts
20.5%
Consumers
2,260 accounts
18.9%
Dormant
2,075 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):
70
Verified Followers
0.64% of total
855
Protected Accounts
7.77% of total
4 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 |
|---|---|---|---|
| @cinnamontoastk | 3,028,210 | YouTuber | Gaming, Comedy, Family |
| @SinghLions | 1,328,342 | Restaurateur | Food, Travel, Influencer |
| @bateson87 | 722,119 | Gamer | Gaming, eSports, Energy Drinks |
| @BreakingBadIrny | 661,670 | Meme Creator | ironic memes, breaking bad |
| @eurofootcom | 437,996 | Sports Media | Football, Europe, Home |
| @TheBarmyArmy | 398,799 | Cricket Fans | Cricket, England, Supporters |
| @brucegreene | 276,593 | Content Creator | Gaming, Comedy, Entertainment |
| @Dmoojah | 273,981 | Motivational Speaker | Self-consistent, Man, Alternative Account |
| @NUFC360 | 138,903 | Sports Journalist | Football, Newcastle United, Coverage |
| @OptusSport | 138,841 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,933
Followers With Bio
4,066
Followers Without Bio
63.03%
% With Bio
36.97%
% 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 analyzed292,972
Combined Engagement
0
Total Likes
292,972
Total Retweets
58,594
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @francefootball: KARIM BENZEMA IS THE 2022 BALLON D’OR! ✨ @Benzema @realmadrid #ballondor https://t.co/TXLkHJIhJM
RT @starwars: A personal message from Ewan McGregor. https://t.co/rJSDmj663K
RT @BetterCallSaul: They're coming back. #BetterCallSaul https://t.co/IXDq6KarcN
RT @WayneRooney: Nothing has changed. 🤷🏻♂️🐐 https://t.co/j5GjcKto13
RT @kaitlancollins: Amerie Jo Garza's father, a med aide, says he found out she was one of the victims when he arrived on the scene and was helping another little girl covered in blood. She told him her best friend had been shot. When he asked her name, she said his daughter's. T
Key Insights & Takeaways
The account frequently discusses football players and their performances, indicating a focus on sports analysis and commentary. The content often includes visual elements like photos, which may drive higher engagement and shareability. The use of informal and passionate language suggests a personal and relatable tone that connects with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 70,476
- + 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 @TheMasterBucks reveals an well-established Twitter presence with 70,476 followers. The account demonstrates a conversation-first approach, averaging 477.5 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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