Dylan Dauzat
25 • Residential Construction Contractor
541,850
Followers
5,964
Following
7,346
Tweets
3,626.3
Avg Engagement
746
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dylandauzat'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:2012-09-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,135
- Avg Likes per Tweet:2,567.0
- Avg Retweets per Tweet:1,059.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,135 tweetsThe account has a high level of engagement, with most tweets receiving significant likes and retweets. Content often includes personal interactions and references to other users.
2,567.0
Avg Likes/Tweet
1,059.3
Avg Retweets/Tweet
8,047,580
Total Likes
3,320,832
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,416
Median Likes
706
Median Retweets
4,477
75th Percentile
98,567
Top Tweet
6.69
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.8%
Original
12.6%
Replies
7.2%
Retweets
3.3%
Quotes
0.0%
Threads
0.4%
With Media
25.0%
With Links
7.6%
With #Tags
22.9%
With @Mentions
50.2%
With Emojis
70
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.9%
Weekday Posts
35.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,135 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 227 retweets (7% 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 3,135 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 a mix of friends, family, and industry peers, with a focus on casual and fun interactions. Engagement is driven by personal content and community participation.
Average
Audience Quality
30.1%
Suspicion Index
30.6%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.0%
Empty Bio
40.8%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
70.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
25.3%
<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.
20,996,615
Total Potential Reach
11
Median Follower Reach
56
75th Percentile Reach
2.2%
>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).
30.8%
Creators
15,389 accounts
28.4%
Consumers
14,192 accounts
40.8%
Dormant
20,419 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):
113
Verified Followers
0.11% of total
8,006
Protected Accounts
7.93% of total
6 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 |
|---|---|---|---|
| @GordonRamsay | 7,698,983 | Chef | Cooking, Food, Restaurants |
| @charliekirk11 | 2,125,503 | Political Commentator | Conservative, Politics, Christianity |
| @AKOSiLOLANiDORA | 825,030 | - | - |
| @DanielNewman | 813,077 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @NOH8Campaign | 801,797 | Activism | equality, bullying, discrimination |
| @SleepSkee | 711,386 | Musician | Music, Independent, Artist |
| @tawarayat | 518,473 | Technologist | technology, community radio, education |
| @Simonna | 503,400 | Actress | Film & TV, Singer, Veggie lover |
| @kevinvonjames | 494,291 | Adult Film Star | Adult performer, Entrepreneur, Crypto enthusiast |
| @SundyJules | 483,738 | Influencer | Fashion, Beauty, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,665
Followers With Bio
39,334
Followers Without Bio
61.06%
% With Bio
38.94%
% 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 3,135 analyzed285,718
Combined Engagement
70,914
Total Likes
214,804
Total Retweets
57,144
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @NASA: New record! We’ve found 7 Earth-sized planets around a single star outside our solar system; 3 in habitable zone: https://t.co/Gg…
RT @elonmusk: Do you want Tesla to accept Doge?
We are a family 💗😊 #MagconFamily
We're so ugly 😂 @camerondallas @taylorcaniff @AaronCarpenter @jacobsartorius https://t.co/fo3IevvJbG
Hey babes! 😊 My bro @camerondallas just posted a new YouTube video it's funny lol 💗 https://t.co/ku3aABG9RJ #TheTeddyBearCamDance
Key Insights & Takeaways
The account emphasizes personal connections and family values. Content often includes references to other users, suggesting a strong network of collaborators and friends. The use of hashtags and emojis indicates a casual and approachable tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 541,850
- + 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 @dylandauzat reveals an exceptionally influential Twitter presence with 541,850 followers. The account demonstrates a content-creator strategy, averaging 3,626.3 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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