Joe Gomez
God is good | Liverpool & England Footballer | @NikeUk Athlete
860,651
Followers
243
Following
540
Tweets
3,263.6
Avg Engagement
1,753
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @J_Gomez97'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:2012-09-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:538
- Avg Likes per Tweet:2,842.7
- Avg Retweets per Tweet:420.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 538 tweetsPosts receive substantial engagement, with an average of 39,113 likes and 3,329 retweets per tweet. This indicates a highly interactive and loyal fan base.
2,842.7
Avg Likes/Tweet
420.9
Avg Retweets/Tweet
1,529,359
Total Likes
226,455
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
84
Median Likes
67
Median Retweets
2,277
75th Percentile
56,934
Top Tweet
3.79
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
48.9%
Original
19.0%
Replies
20.8%
Retweets
11.3%
Quotes
0.0%
Threads
0.6%
With Media
52.0%
With Links
31.6%
With #Tags
48.7%
With @Mentions
66.2%
With Emojis
70
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.1%
Weekday Posts
34.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 538 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 112 retweets (21% 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 538 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 followersThe audience primarily consists of football fans and followers of Liverpool and England teams. They are likely interested in sports, personal stories, and social issues.
Average
Audience Quality
35.0%
Suspicion Index
41.3%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.6%
Empty Bio
50.9%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
79.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.8%
No URL
33.9%
<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.
22,970,630
Total Potential Reach
6
Median Follower Reach
30
75th Percentile Reach
1.3%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
22.1%
Creators
11,063 accounts
26.9%
Consumers
13,473 accounts
50.9%
Dormant
25,464 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):
106
Verified Followers
0.11% of total
9,129
Protected Accounts
9.13% of total
3 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 | 14,105,419 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Robbie9Fowler | 1,163,470 | Footballer | Football, Nike, Podcasts |
| @DoentesPFutebol | 802,520 | Sports Blogger | Futebol, Informação, Opinião |
| @IamMzilikazi | 544,810 | Musician | Pan-African music, Album, Rise |
| @takumina0116 | 481,147 | Footballer | Football, Liverpool, Japan |
| @Moreno | 430,242 | Influencer | Business, Manager, Serious |
| @EmmaKennedy | 286,445 | Writer | Books, Writing, Cooking |
| @Ava_Austen | 279,002 | Adult Actress | Adult entertainment, AVN, XBIZ |
| @fifaworldcup_de | 253,284 | Sports Organization | Football, World Cup, Streaming |
| @101greatgoals | 182,834 | Sports Media | Football, Highlights, Memes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,980
Followers With Bio
46,020
Followers Without Bio
53.98%
% With Bio
46.02%
% 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 538 analyzed240,100
Combined Engagement
223,983
Total Likes
16,117
Total Retweets
48,020
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Holding on tight☺️...World Champs @LFC ❤️🙏🏽 https://t.co/Xc9CNbZFyP
Unity is strength #BlackLivesMatter https://t.co/ykTvHtBo6J
YNWA 🔴🏆 https://t.co/tjpG2kJ7Bu
Thank you... https://t.co/Q28h06bqoH
My brothers ❤️ #LFCchampions @VirgilvDijk @GWijnaldum https://t.co/S5IgCfysDv
Key Insights & Takeaways
He frequently shares personal and emotional content, which resonates with his audience. His posts often include links to external content, suggesting a focus on deeper engagement. He uses hashtags and social causes to connect with his community and raise awareness.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 860,651
- + 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 @J_Gomez97 reveals an exceptionally influential Twitter presence with 860,651 followers. The account demonstrates a content-creator strategy, averaging 3,263.6 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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