Raheem Sterling
Professional footballer for @ChelseaFC & @England || @newbalance athlete || IG @sterling7 || Enquiries: info@16ninetytwo.com
3,609,954
Followers
360
Following
1,860
Tweets
11,340.0
Avg Engagement
4,031
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sterling7'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: Mega Influencer (1M+)
- Account Age:2012-07-05
- Verification:No
- Location:England
Data Summary
- Tweets Analyzed:1,801
- Avg Likes per Tweet:10,011.5
- Avg Retweets per Tweet:1,328.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,801 tweetsSterling7's tweets receive a high number of likes and retweets, indicating strong audience interaction. His content is both personal and relatable, contributing to his high engagement rates.
10,011.5
Avg Likes/Tweet
1,328.5
Avg Retweets/Tweet
18,030,626
Total Likes
2,392,700
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
668
Median Likes
208
Median Retweets
9,124
75th Percentile
439,161
Top Tweet
3.14
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
46.8%
Original
26.0%
Replies
19.6%
Retweets
7.6%
Quotes
0.0%
Threads
0.2%
With Media
50.1%
With Links
22.5%
With #Tags
59.2%
With @Mentions
53.1%
With Emojis
72
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,801 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 353 retweets (20% 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 1,801 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 primarily consists of football fans and followers of his personal brand. The engagement suggests a mix of fans, fellow athletes, and general social media users.
Below Average
Audience Quality
39.8%
Suspicion Index
54.8%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.1%
Empty Bio
63.0%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
82.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.9%
No URL
45.5%
<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.
4,630,207
Total Potential Reach
4
Median Follower Reach
20
75th Percentile Reach
0.9%
>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).
13.8%
Creators
6,877 accounts
23.2%
Consumers
11,620 accounts
63.0%
Dormant
31,503 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):
87
Verified Followers
0.09% of total
7,237
Protected Accounts
7.17% of total
1 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 |
|---|---|---|---|
| @9romelulukaku | 1,038,867 | Footballer | Football, Revenge, Determination |
| @CoruscaKhaya | 206,593 | Educator | Education, Leadership, Business |
| @TomekHajto7 | 127,502 | Footballer | Football, Schalke 04, Derby |
| @realadamdeacon | 125,662 | Actor | Acting, Writing, Music |
| @Aubazettes_ | 112,561 | - | - |
| @TheBlueDodger | 111,266 | Sports Commentator | Chelsea FC, Twitter Spaces, Speaker |
| @princepapa1 | 96,105 | Activist | Artivism, Justice, Africa |
| @CFCFoundation | 75,626 | - | - |
| @Mansour74Sh | 71,706 | Journalist | Politics, Journalism, Egypt |
| @NjeriWanyina | 64,787 | Influencer | Chelsea FC, Kenyan culture, Self-love |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,010
Followers With Bio
64,984
Followers Without Bio
35.66%
% With Bio
64.34%
% 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 1,801 analyzed1,699,009
Combined Engagement
1,447,405
Total Likes
251,604
Total Retweets
339,802
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Best way to silence the haters (and yeah I mean racists) 🙉😘 #2019 #getsomeeducation https://t.co/ohhkOJtdey
Mmmmh ... Not sure about this one chief https://t.co/Jyjr6vFtA8
Ah sh.... 😂 https://t.co/Ap5E1qFuIZ
Ok bye 👋🏾
Feeling sorry for Bulgaria to be represented by such idiots in their stadium. Anyway.. 6-0 and we go back home, at least we did our job. Safe travel to our fans, u guys did well 🤟🏾❤️
Key Insights & Takeaways
He uses personal and humorous content to connect with his audience His tweets often include social commentary and personal reflections He maintains a balance between professional and personal branding
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,609,954
- + 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 @sterling7 reveals an exceptionally influential Twitter presence with 3,609,954 followers. The account demonstrates a content-creator strategy, averaging 11,340.0 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.
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