Daniel Seavey
DANCING IN THE DARK OUT NOW
823,197
Followers
10,950
Following
5,822
Tweets
4,651.7
Avg Engagement
3,165
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SeaveyDaniel'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:2013-01-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:158
- Avg Likes per Tweet:4,189.8
- Avg Retweets per Tweet:461.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 158 tweetsTheir tweets typically receive high engagement, with an average of 10k likes and 1k retweets. This suggests a loyal and active follower base.
4,189.8
Avg Likes/Tweet
461.9
Avg Retweets/Tweet
661,984
Total Likes
72,985
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4,029
Median Likes
405
Median Retweets
6,104
75th Percentile
18,179
Top Tweet
5.65
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
82.9%
Original
7.0%
Replies
4.4%
Retweets
5.7%
Quotes
0.0%
Threads
0.0%
With Media
62.7%
With Links
1.3%
With #Tags
14.6%
With @Mentions
4.4%
With Emojis
69
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
1.29
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.1%
Weekday Posts
20.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 158 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 7 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 158 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 interested in personal stories and updates, likely including fans and followers of their content. They engage with a mix of personal and public topics.
Average
Audience Quality
27.2%
Suspicion Index
32.9%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
39.8%
<10 Tweets
6.0%
Mass Following (>2K)
0.0%
New (<90 days)
59.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
28.7%
<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.
35,205,318
Total Potential Reach
7
Median Follower Reach
56
75th Percentile Reach
3.6%
>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).
39.3%
Creators
19,641 accounts
20.9%
Consumers
10,472 accounts
39.8%
Dormant
19,887 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):
175
Verified Followers
0.17% of total
16,682
Protected Accounts
16.52% 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 | 14,105,447 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GilDoVigor | 3,277,745 | Economist | Economia, PhD, Forbes |
| @JoshDevineDrums | 3,106,160 | Drummer | Music, Drumming, One Direction |
| @MTVUK | 2,425,871 | Entertainment | Little Mix, HERSTORY, BRITs |
| @greggrunberg | 1,191,595 | Actor | ACTOR, WRITER, BANDS |
| @TessaBrooks | 973,172 | Dancer | Dance, Smile, YouTube |
| @NoahUrrea | 839,651 | Actor | Music, Acting, Netflix |
| @bradley_s_perry | 728,403 | Actor | Rick and Morty, Independent thinking, Comedy |
| @WipeHomophobia | 697,227 | - | - |
| @EmblemThree | 675,698 | Musician | Music, Band, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,082
Followers With Bio
35,917
Followers Without Bio
64.44%
% With Bio
35.56%
% 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 158 analyzed70,828
Combined Engagement
63,408
Total Likes
7,420
Total Retweets
14,166
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
i am fearful for my safety and will be moving houses immediately. i will also be pressing charges. i am not in la and am safe for the time being, but i worry a restraining order isn’t enough to protect me, my friends and family.
happy 6 years. 🤍
lost boy https://t.co/2AmvldHPtD
bleed on me new me, now https://t.co/dBtixYUnVC
darling https://t.co/SOItswyV2F
Key Insights & Takeaways
Their top tweet reveals personal safety concerns and a significant life change, indicating a willingness to share vulnerable moments. They use emojis and hashtags to enhance emotional connection and visibility. Their content often blends personal experiences with public engagement, creating a relatable narrative.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 823,197
- + 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 @SeaveyDaniel reveals an exceptionally influential Twitter presence with 823,197 followers. The account demonstrates a content-creator strategy, averaging 4,651.7 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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