Graeme Bailey
Transfer Correspondent for @90min_Football | Insider for @TeamTalk & @SiriusXMFC | 🗣 Talking Transfers & PreMatchPod
105.526
Followers
2.703
Following
37.552
Tweets
446,0
Avg Engagement
1.084
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GraemeBailey'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:2009-02-12
- Verification:No
- Location:Cleveland/Teesside/Yorkshire
Data Summary
- Tweets Analyzed:3.247
- Avg Likes per Tweet:50,9
- Avg Retweets per Tweet:395,1
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.247 tweetsHis tweets receive strong engagement, indicating a dedicated and interested audience. The average likes and retweets suggest that his content is both informative and timely.
50,9
Avg Likes/Tweet
395,1
Avg Retweets/Tweet
165.248
Total Likes
1.283.045
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
5
Median Retweets
68
75th Percentile
674.334
Top Tweet
4,23
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
50,2%
Original
6,1%
Replies
28,3%
Retweets
15,4%
Quotes
0,0%
Threads
0,0%
With Media
83,3%
With Links
7,3%
With #Tags
75,3%
With @Mentions
18,9%
With Emojis
188
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,12
Reply/Original Ratio
0,54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79,8%
Weekday Posts
20,2%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3.247 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 918 retweets (28% 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 3.247 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 primarily consists of football fans and enthusiasts interested in transfer news and match analysis. They are likely to be active on social media and follow sports-related content closely.
Average
Audience Quality
22,3%
Suspicion Index
24,6%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38,9%
Empty Bio
17,1%
<10 Tweets
14,6%
Mass Following (>2K)
0,0%
New (<90 days)
50,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,6%
No URL
10,2%
<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.
30.063.953
Total Potential Reach
63
Median Follower Reach
226
75th Percentile Reach
6,8%
>1K followers
0,8%
>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).
62,1%
Creators
6.211 accounts
20,8%
Consumers
2.077 accounts
17,1%
Dormant
1.712 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):
80
Verified Followers
0.8% of total
853
Protected Accounts
8.53% 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 |
|---|---|---|---|
| @JohnCena | 14.092.965 | Wrestler | Wrestling, Motivation, Self-promotion |
| @werevertumorro | 8.696.991 | Influencer | Gaming, Comedy, Email Marketing |
| @StanCollymore | 891.489 | Football Analyst | Football, Anti-Racism, Mental Health |
| @Chels_HQ | 367.797 | Fan Account | Football, Chelsea, London |
| @ChrisWheatley | 298.487 | Sports Journalist | Football, Arsenal, Reporting |
| @TalkoffootbalI | 250.900 | Football Blogger | Football, Soccer, Sports |
| @TheRealBozza | 198.629 | Football Analyst | Football, Analyst, Sport Lover |
| @BlazquezFont | 198.195 | Periodista Deportivo | FC Barcelona, Sports, Journalism |
| @GoonerViews | 115.051 | Sports Journalist | Arsenal, transfer news, stats |
| @DailyAFC | 112.893 | Sports Journalist | Football, Arsenal, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.109
Followers With Bio
3.891
Followers Without Bio
61.09%
% With Bio
38.91%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.247 analyzed848.166
Combined Engagement
0
Total Likes
848.166
Total Retweets
169.633
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening and will return to London tomorrow. https://t.co/VfxpXro22W
RT @AlNassrFC_EN: Walks of the greatness 🐐💛 https://t.co/7FzLZSchQ5
RT @ChelseaFC: Chelsea Football Club part company with Thomas Tuchel.
RT @realmadrid: Ellos siguen a lo suyo... #CHAMP14NS https://t.co/4DnkmWG82U
RT @ErlingHaaland: To be continued… 🔜 💙 https://t.co/zSbIHFMANT
Key Insights & Takeaways
His content often highlights high-value transfers and club strategies. He frequently collaborates with other football media outlets for in-depth analysis. His tweets are concise and focused on breaking news and key developments in the transfer market.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 105.526
- + 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 @GraemeBailey reveals an well-established Twitter presence with 105.526 followers. The account demonstrates a content-creator strategy, averaging 446,0 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access