Dylan Sprouse
an account
4.328.073
Followers
509
Following
3.800
Tweets
5.579,4
Avg Engagement
2.317
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dylansprouse'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:2009-11-20
- Verification:No
- Location:Brooklyn
Data Summary
- Tweets Analyzed:3.134
- Avg Likes per Tweet:4.457,8
- Avg Retweets per Tweet:1.121,6
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.134 tweetsThe account has high engagement with an average of 253k likes and 60k retweets per tweet, indicating strong audience interaction.
4.457,8
Avg Likes/Tweet
1.121,6
Avg Retweets/Tweet
13.970.863
Total Likes
3.515.090
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
139
Median Likes
61
Median Retweets
1.521
75th Percentile
597.263
Top Tweet
1,29
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
58,1%
Original
22,3%
Replies
18,1%
Retweets
1,5%
Quotes
0,0%
Threads
2,8%
With Media
49,5%
With Links
12,9%
With #Tags
52,9%
With @Mentions
1,2%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,38
Reply/Original Ratio
0,08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74,3%
Weekday Posts
25,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.134 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 566 retweets (18% 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 3.134 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 broad demographic interested in pop culture, humor, and social issues.
Average
Audience Quality
29,2%
Suspicion Index
35,0%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38,3%
Empty Bio
42,0%
<10 Tweets
4,4%
Mass Following (>2K)
0,0%
New (<90 days)
68,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,7%
No URL
31,6%
<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.
35.285.693
Total Potential Reach
7
Median Follower Reach
39
75th Percentile Reach
2,1%
>1K followers
0,2%
>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).
37,8%
Creators
18.914 accounts
20,2%
Consumers
10.079 accounts
42,0%
Dormant
21.007 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):
159
Verified Followers
0.16% of total
13.887
Protected Accounts
13.75% of total
3 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 |
|---|---|---|---|
| @JohnCena | 14.106.239 | Wrestler | Wrestling, Motivation, Self-promotion |
| @pattonoswalt | 4.674.975 | Comedian | comedy, acting, podcasting |
| @jason_s_dolley | 1.003.237 | Actor | Actor, Gamer, Dog person |
| @WhatsTrending | 890.286 | News Outlet | DAILY, SOCIAL, NEWS |
| @MilesSTEREOS | 862.018 | Musician | Guitarist, Writer, Producer |
| @NOH8Campaign | 801.978 | Activism | equality, bullying, discrimination |
| @Agony | 762.651 | Gamer | Gaming, Livestreaming, FaZeClan |
| @Matt_VanDyke | 505.873 | Founder | veterans, training, supplies |
| @baovtuber | 485.930 | - | - |
| @Netflix_CA | 441.719 | Entertainment | Movies, TV shows, Lindsay Lohan |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61.269
Followers With Bio
39.728
Followers Without Bio
60.66%
% With Bio
39.34%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.134 analyzed2.123.668
Combined Engagement
1.854.091
Total Likes
269.577
Total Retweets
424.734
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
“Yo get that pic of him in the fedora to really sell the message” https://t.co/5229BytWQl
.@colesprouse I don't remember actually. I was too busy carrying the show on my back
Can we all agree as a society not to force the death sentence upon wild animals who attack those of us too stupid to avoid them? No, Karen you should not be trying to face tune the Jaguar.
sucks that @colesprouse and I would be more handsome if we just decided we didn't hate each other in the womb https://t.co/XmmL4gUbf7
You were the unplanned one @colesprouse
Key Insights & Takeaways
The account uses humor and relatability to connect with followers. It often comments on pop culture and personal experiences. The content is casual and conversational, encouraging audience participation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 4.328.073
- + 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 @dylansprouse reveals an exceptionally influential Twitter presence with 4.328.073 followers. The account demonstrates a content-creator strategy, averaging 5.579,4 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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