AG
@nufc || @uniquesg
76,805
Followers
16
Following
209
Tweets
3,151.5
Avg Engagement
142
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @anthonygordon'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:2016-10-10
- Verification:No
- Location:Newcastle Upon Tyne, England
Data Summary
- Tweets Analyzed:190
- Avg Likes per Tweet:1,579.4
- Avg Retweets per Tweet:1,572.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 190 tweetsHis tweets receive consistent likes and retweets, indicating a loyal and active audience. The engagement levels suggest a balance between personal expression and professional content.
1,579.4
Avg Likes/Tweet
1,572.1
Avg Retweets/Tweet
300,080
Total Likes
298,707
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
45
Median Retweets
1,106
75th Percentile
198,949
Top Tweet
41.03
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
27.9%
Original
8.9%
Replies
56.8%
Retweets
6.3%
Quotes
0.0%
Threads
0.0%
With Media
66.3%
With Links
23.7%
With #Tags
70.5%
With @Mentions
81.1%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.32
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 190 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 108 retweets (57% 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 190 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 50,000 followersHis audience appears to be primarily football fans and supporters, with a focus on those interested in his career development and personal updates. The engagement suggests a mix of casual followers and dedicated supporters.
Average
Audience Quality
20.7%
Suspicion Index
27.0%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.5%
Empty Bio
18.8%
<10 Tweets
11.4%
Mass Following (>2K)
0.0%
New (<90 days)
41.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
11.5%
<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.
57,299,178
Total Potential Reach
67
Median Follower Reach
222
75th Percentile Reach
4.8%
>1K followers
0.4%
>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).
61.5%
Creators
30,731 accounts
19.7%
Consumers
9,865 accounts
18.8%
Dormant
9,404 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):
361
Verified Followers
0.5% of total
8,236
Protected Accounts
11.39% 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 |
|---|---|---|---|
| @FabrizioRomano | 14,417,111 | Journalist | Football, Transfers, News |
| @antanddec | 6,834,816 | Entertainers | TV Presenters, Comedy, Entertainment |
| @England | 6,053,213 | Sports Marketing | Football, National Teams, Contact Us |
| @NUFC | 2,513,891 | Football Club | Football, Soccer, Newcastle |
| @Carra23 | 2,190,896 | Football Pundit | Football, TV punditry, Charity |
| @masongreenwood | 1,386,746 | Footballer | Football, ManUtd, Nike |
| @henrywinter | 1,357,452 | Sports Journalist | Football, Sports, Journalism |
| @alanshearer | 1,053,659 | Footballer | Football, Analysis, Golf |
| @ZachBoychuk | 830,514 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @WipeHomophobia | 697,405 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,585
Followers With Bio
29,731
Followers Without Bio
58.89%
% With Bio
41.11%
% 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 190 analyzed397,976
Combined Engagement
123,274
Total Likes
274,702
Total Retweets
79,595
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @biancaabui: yanny and laurel are on a stretcher 😩 https://t.co/EtDljHn7me
🤦🏼♂️🤦🏼♂️ https://t.co/iDvHpMDlrb
This Tweet from @anthonygordon has been withheld in: United States.
The difference 7 years can make, an idol turned into a team mate 🙏🏼💙 https://t.co/jeCD0SRjar
Not the result we were after but loved my debut!! Focused on the next one 💪🏼✨ https://t.co/HGdvn3FQ61
Key Insights & Takeaways
His content often includes personal milestones and emotional reflections, which resonate with his audience. He frequently shares links to his football journey, indicating a focus on career development and fan interaction. The use of emojis and motivational language suggests an effort to connect with followers on an emotional level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 76,805
- + 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 @anthonygordon reveals an exceptionally influential Twitter presence with 76,805 followers. The account demonstrates a content-creator strategy, averaging 3,151.5 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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