Duncan Laurence
2024 tour tickets + presave SKYBOY: https://linktr.ee/duncanlaurence
30,946
Followers
130
Following
3,090
Tweets
286.4
Avg Engagement
117
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dunclaurence'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:2019-01-21
- Verification:No
- Location:🪐
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:264.2
- Avg Retweets per Tweet:22.3
- Followers Analyzed:31,368
Engagement Analysis
Based on 598 tweetsTheir tweets receive a high number of likes and retweets, showing strong audience interaction and support for their content.
264.2
Avg Likes/Tweet
22.3
Avg Retweets/Tweet
157,970
Total Likes
13,316
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
57
Median Likes
5
Median Retweets
298
75th Percentile
9,960
Top Tweet
9.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
43.0%
Original
50.3%
Replies
3.5%
Retweets
3.2%
Quotes
0.0%
Threads
0.5%
With Media
29.3%
With Links
12.4%
With #Tags
58.2%
With @Mentions
34.6%
With Emojis
69
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
0.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 21 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 598 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 31,368 followersTheir audience appears to be fans of music, particularly Eurovision, and likely younger demographics interested in pop culture and live events.
Good
Audience Quality
16.2%
Suspicion Index
19.8%
Low-Quality %
88
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.3%
Empty Bio
14.8%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
30.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.7%
No URL
9.4%
<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.
70,127,957
Total Potential Reach
88
Median Follower Reach
357
75th Percentile Reach
10.5%
>1K followers
1.0%
>10K followers
0.3%
>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).
71.2%
Creators
22,344 accounts
14.0%
Consumers
4,389 accounts
14.8%
Dormant
4,635 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):
301
Verified Followers
0.96% of total
4,477
Protected Accounts
14.27% 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 |
|---|---|---|---|
| @billboard | 14,106,160 | Media | music, charts, news |
| @JohnCena | 14,105,756 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NRJhitmusiconly | 3,400,165 | Radio | Music, Hits, Radio |
| @chartdata | 1,998,262 | Music Analyst | music charts, awards, industry news |
| @arminvanbuuren | 1,609,282 | DJ | Music, Environment, Collaboration |
| @scott_mills | 1,266,355 | Radio Host | Entertainment, Music, Radio |
| @khalidensophie | 1,030,101 | - | - |
| @PlayStationES | 1,004,892 | Gaming | Videojuegos, Exclusivas, Lanzamientos |
| @anghami | 904,278 | Music Streaming | Music, Freedom, Support |
| @HRC | 830,416 | Advocacy | LGBTQ+ rights, equality, civil rights |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
21,869
Followers With Bio
9,499
Followers Without Bio
69.72%
% With Bio
30.28%
% 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 598 analyzed31,834
Combined Engagement
29,473
Total Likes
2,361
Total Retweets
6,367
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
💔
Thank you😭 https://t.co/NnWPp0htKQ
This is unbelievable... this is so so so sweet. Thanks for the love and the support, @Eurovision and Rotterdam❤️ #speechless #Eurovision https://t.co/zUSUi3BByj
Italy YESSSSSSS @thisismaneskin you guys are amazing. All the love to you and enjoy the big beautiful year coming up. You are so classy, so limitless, you are simply the best❤️ #Eurovision ROCK AND ROLL NEVER DIES!
I remember some people told me you’ll never get noticed as an artist if you do @eurovision. Bon appetite. 😊 https://t.co/BwafaFvTzj
Key Insights & Takeaways
Their bio highlights their music project and tour, indicating a focus on promoting their work. They engage with fans through heartfelt and emotional tweets, which resonate well with their audience. Their use of hashtags and mentions suggests a strategic approach to increasing visibility and community interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 30,946
- + High community engagement through conversations
- + 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 @dunclaurence reveals an well-established Twitter presence with 30,946 followers. The account demonstrates a conversation-first approach, averaging 286.4 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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