Kitbaguk
Customer Service Enquiries; [email protected]. New Season Gear⬇️
58,420
Followers
866
Following
26,605
Tweets
93.6
Avg Engagement
201
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KitbagUK'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:2008-09-30
- Verification:No
- Location:Instagram: KitbagUK
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:2.8
- Avg Retweets per Tweet:90.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,230 tweetsThe account maintains a steady level of engagement with its tweets, often receiving likes and retweets. It leverages collaborations and product drops to boost interaction.
2.8
Avg Likes/Tweet
90.7
Avg Retweets/Tweet
9,107
Total Likes
293,103
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
4
75th Percentile
29,661
Top Tweet
1.6
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
49.2%
Original
44.5%
Replies
4.2%
Retweets
2.1%
Quotes
0.0%
Threads
0.2%
With Media
75.2%
With Links
41.5%
With #Tags
76.7%
With @Mentions
40.5%
With Emojis
178
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.9
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.7%
Weekday Posts
22.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 136 retweets (4% 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 3,230 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 appears to be primarily interested in sports, particularly football, and new product releases. They are likely customers or fans of Kitbag and Nike football gear.
Good
Audience Quality
15.5%
Suspicion Index
18.7%
Low-Quality %
159
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.9%
Empty Bio
6.5%
<10 Tweets
17.9%
Mass Following (>2K)
0.0%
New (<90 days)
27.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
3.6%
<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.
13,618,679
Total Potential Reach
159
Median Follower Reach
440
75th Percentile Reach
11.3%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
82.8%
Creators
8,285 accounts
10.6%
Consumers
1,064 accounts
6.5%
Dormant
651 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):
52
Verified Followers
0.52% of total
1,127
Protected Accounts
11.27% of total
8 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 |
|---|---|---|---|
| @NepentheZ | 1,003,049 | Content Creator | Gaming, Content Creation, eSports |
| @Football__Tweet | 874,305 | - | - |
| @idextratime | 765,079 | Sports Journalist | Sampah, Laknat, Business |
| @PurelyFootball | 623,442 | Football News | Transfer News, Premier League, Fans |
| @StatmanDave | 397,794 | Football Analyst | Football, Analyst, YouTube |
| @cityreport_ | 355,582 | - | - |
| @sbc_tips | 262,108 | - | - |
| @neiljonesgoal | 250,257 | Sports Journalist | Liverpool FC, Football, Journalism |
| @CapgunTom | 226,663 | YouTuber | FIFA, Golf, Property |
| @AnythingLFC_ | 217,999 | Sports Blogger | Liverpool, News, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,607
Followers With Bio
3,393
Followers Without Bio
66.07%
% With Bio
33.93%
% 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 3,230 analyzed134,193
Combined Engagement
0
Total Likes
134,193
Total Retweets
26,839
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @ChampionsLeague: The official result of the #UCLdraw! 🤩 Most exciting group stage match? 🤔 https://t.co/d7ynuEjPq3
RT @ChampionsLeague: 😍 The quarter-final draw 😍 🤔 Most exciting tie? #UCLdraw https://t.co/bpkwkVKvdH
RT @MarcusRashford: We Believed ⚽️ https://t.co/KRLAv4zwdt
RT @LCFC: Forever in our hearts. https://t.co/OXBAE1GBZA
RT @ManUtd: Remembering the #FlowersOfManchester. https://t.co/vgFumGF11h
Key Insights & Takeaways
The account frequently partners with football teams and brands like Nike to promote new products. It uses hashtags and links to drive traffic and increase visibility. Engagement is driven by timely announcements and collaborations with popular entities.
Strengths
- + Established follower base of 58,420
- + 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 @KitbagUK reveals an growing Twitter presence with 58,420 followers. The account demonstrates a content-creator strategy, averaging 93.6 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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