Kieran Gibbs
Official account of professional football player Kieran Gibbs. Enquiries @grow_talents [email protected]
910,842
Followers
185
Following
193
Tweets
1,322.2
Avg Engagement
1,787
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KieranGibbs'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:2013-10-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:190
- Avg Likes per Tweet:806.2
- Avg Retweets per Tweet:516.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 190 tweetsThe account maintains a high level of engagement, with consistent likes and retweets, indicating a loyal and active fan base. The content is well-received, with a mix of personal and professional updates.
806.2
Avg Likes/Tweet
516.0
Avg Retweets/Tweet
153,177
Total Likes
98,038
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
292
Median Likes
104
Median Retweets
1,454
75th Percentile
22,906
Top Tweet
1.45
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
68.4%
Original
12.1%
Replies
16.8%
Retweets
2.6%
Quotes
0.0%
Threads
1.6%
With Media
72.6%
With Links
47.4%
With #Tags
62.6%
With @Mentions
38.4%
With Emojis
103
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.5%
Weekday Posts
20.5%
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 32 retweets (17% 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 followersThe audience primarily consists of football fans and followers of Gibbs' career, with a focus on professional sports enthusiasts. The account also engages with fans through personal and team-related content.
Average
Audience Quality
30.7%
Suspicion Index
27.7%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.9%
Empty Bio
36.3%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
72.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
21.4%
<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.
37,347,593
Total Potential Reach
25
Median Follower Reach
103
75th Percentile Reach
3.2%
>1K followers
0.3%
>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).
33.9%
Creators
16,971 accounts
29.7%
Consumers
14,869 accounts
36.3%
Dormant
18,160 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):
179
Verified Followers
0.18% of total
6,353
Protected Accounts
6.29% 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 | 14,105,313 | Wrestler | Wrestling, Motivation, Self-promotion |
| @433 | 4,279,889 | Football Content Creator | Football, Home, 433 |
| @saylor | 3,011,212 | Entrepreneur | Bitcoin, Hodler, Aerospace |
| @KameronBennett | 1,811,198 | DJ | Music, DJing, Booking |
| @ChrisSmalling | 1,794,312 | Footballer | Football, AS Roma, Charity |
| @APompliano | 1,641,786 | Entrepreneur | Entrepreneurship, Investing, Learning |
| @EASPORTSEsp | 669,127 | - | - |
| @JoePompliano | 517,326 | Sports Analyst | Sports, Business, Bitcoin |
| @PeterMcCormack | 513,926 | Podcaster | Bitcoin, Football, Metal |
| @PrestonPysh | 440,906 | Author | Bitcoin, Books, Cold Storage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,585
Followers With Bio
39,413
Followers Without Bio
60.98%
% With Bio
39.02%
% 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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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 analyzed59,076
Combined Engagement
36,660
Total Likes
22,416
Total Retweets
11,815
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
Delighted to have signed for @WBA 🙌🏽 ⚽️ #WBA https://t.co/LngeupoR5K
Special player. Special guy. Lucky to have played along side you. Enjoy retirement Super Tom! https://t.co/nnaQ52jAib
RT @NikeUK: For 20 years English football never looked so good @Arsenal http://t.co/00lfuU8hhN
Amazing feeling to captain the team but even more to see my boy @carljenkinson back on the pitch💪🏽🙏🏽 https://t.co/sryHE1PDhv
'Listen mate theres only one Chambo round here' #SouthamptonFriend http://t.co/y9J2H1WSC1
Key Insights & Takeaways
The account frequently shares personal and team-related updates, which resonate well with the audience. It leverages hashtags and links to increase visibility and engagement. The use of personal connections, such as mentioning teammates, enhances the emotional appeal of the content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 910,842
- + 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 @KieranGibbs reveals an exceptionally influential Twitter presence with 910,842 followers. The account demonstrates a content-creator strategy, averaging 1,322.2 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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