Urby Emanuelson
Welcome to the official Twitter page of Urby Emanuelson
297.487
Followers
449
Following
1.779
Tweets
191,7
Avg Engagement
1.250
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Urby28'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:2011-07-05
- Verification:No
- Location:Amsterdam, Nederland
Data Summary
- Tweets Analyzed:1.759
- Avg Likes per Tweet:16,3
- Avg Retweets per Tweet:175,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 1.759 tweetsThe account maintains a steady level of engagement with its followers, suggesting a loyal fan base. The use of hashtags and links indicates an effort to increase visibility and interaction.
16,3
Avg Likes/Tweet
175,4
Avg Retweets/Tweet
28.588
Total Likes
308.608
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
6
Median Retweets
35
75th Percentile
162.251
Top Tweet
0,64
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
82,3%
Original
7,7%
Replies
9,1%
Retweets
0,9%
Quotes
0,0%
Threads
0,2%
With Media
42,0%
With Links
20,8%
With #Tags
45,5%
With @Mentions
10,5%
With Emojis
81
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,09
Reply/Original Ratio
0,09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69,9%
Weekday Posts
30,1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1.759 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 160 retweets (9% 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 1.759 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 appears to be football fans, especially those interested in AC Milan and other Italian clubs. The audience is likely to be young and active on social media.
Average
Audience Quality
33,1%
Suspicion Index
40,9%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57,7%
Empty Bio
39,8%
<10 Tweets
11,2%
Mass Following (>2K)
0,0%
New (<90 days)
70,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
91,5%
No URL
24,1%
<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.
28.775.269
Total Potential Reach
25
Median Follower Reach
90
75th Percentile Reach
2,1%
>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).
31,1%
Creators
15.532 accounts
29,2%
Consumers
14.583 accounts
39,8%
Dormant
19.885 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):
122
Verified Followers
0.12% of total
7.018
Protected Accounts
7.02% of total
9 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 |
|---|---|---|---|
| @TheRealAC3 | 2.399.814 | Coach | Football, Coaching, Athlete |
| @6BillionPeople | 2.035.346 | - | - |
| @SoccerKingJP | 1.351.657 | Sports Journalist | soccer, YouTube, sports |
| @pinigol51 | 1.106.091 | Sports Commentator | Television, Sports, Radio |
| @ASRomaEN | 718.136 | Sports Team | Football, Soccer, Sports |
| @Florenzi | 705.796 | Footballer | EURO 2020, Italy, Champion |
| @ericschiffer | 687.909 | CEO | business, media, author |
| @Kevin_strootman | 645.965 | Footballer | Football, Family, Travel |
| @MelissaJoanHart | 631.257 | Actress | Family, Acting, Motherhood |
| @sportstudio | 629.208 | Sports News | Sports, News, Redaktion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36.629
Followers With Bio
63.371
Followers Without Bio
36.63%
% With Bio
63.37%
% 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 1.759 analyzed268.519
Combined Engagement
7.985
Total Likes
260.534
Total Retweets
53.704
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @MarcusRashford: https://t.co/bs9lksGM4q
RT @kendricklamar: The Heart Part 5 https://t.co/DlnQO2g5nw
Goodmorningggg https://t.co/XuWwWMFk2O
Grande Milan 🔴⚫️ #ForzaMilan
Happy Independence Day to all the Indonesian people.....
Key Insights & Takeaways
The account frequently shares personal greetings and messages, indicating a friendly and approachable persona. The content is heavily focused on football, particularly AC Milan, suggesting a strong connection to the sport and its fans. The use of links in tweets may be used to drive traffic to other platforms or content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 297.487
- + 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 @Urby28 reveals an well-established Twitter presence with 297.487 followers. The account demonstrates a content-creator strategy, averaging 191,7 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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