doqtor queue / quentin
he / him, making stuff (in secret) https://www.youtube.com/user/HuskyMUDKIPZ
341,109
Followers
551
Following
48,296
Tweets
920.4
Avg Engagement
466
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @doq'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:2010-11-04
- Verification:No
- Location:Sylvan Lake, Alberta
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:12.7
- Avg Retweets per Tweet:907.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,196 tweetsOn average, his tweets receive around 381 likes and 29 retweets, indicating a steady but not overwhelming level of interaction.
12.7
Avg Likes/Tweet
907.7
Avg Retweets/Tweet
40,691
Total Likes
2,900,880
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
0
Median Retweets
21
75th Percentile
355,831
Top Tweet
2.7
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
47.4%
Original
31.5%
Replies
14.9%
Retweets
6.3%
Quotes
0.0%
Threads
0.1%
With Media
30.8%
With Links
2.1%
With #Tags
46.5%
With @Mentions
11.5%
With Emojis
72
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.67
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 475 retweets (15% 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 3,196 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 followersHis audience appears to be interested in creative processes and celebrity interactions. They engage with his content through likes and retweets.
Average
Audience Quality
29.3%
Suspicion Index
29.6%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.0%
Empty Bio
37.3%
<10 Tweets
5.6%
Mass Following (>2K)
0.0%
New (<90 days)
72.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
19.1%
<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.
56,303,767
Total Potential Reach
8
Median Follower Reach
29
75th Percentile Reach
1.2%
>1K followers
0.3%
>10K followers
0.2%
>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).
27.3%
Creators
13,655 accounts
35.4%
Consumers
17,682 accounts
37.3%
Dormant
18,663 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):
148
Verified Followers
0.15% of total
5,418
Protected Accounts
5.36% of total
7 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 | 14,103,645 | Wrestler | Wrestling, Motivation, Self-promotion |
| @PostMalone | 7,012,750 | Musician | Music, Tattoos, Beer |
| @Roblox | 6,579,477 | Gaming | Gaming, Community, Innovation |
| @tommyinnit | 4,220,699 | Gamer | Gaming, Influencer, Content Creator |
| @6BillionPeople | 2,035,656 | - | - |
| @KameronBennett | 1,812,719 | DJ | Music, DJing, Booking |
| @DailyLoud | 1,682,410 | Music Blogger | Hip-Hop, Music, Updates |
| @LILBTHEBASEDGOD | 1,248,642 | Rapper | Music, Writing, Film |
| @JDaIey | 1,228,975 | - | - |
| @BunnyAyu | 1,194,979 | Influencer | Gaming, V-Tuber, Gfuel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,762
Followers With Bio
45,235
Followers Without Bio
55.21%
% With Bio
44.79%
% 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 3,196 analyzed1,045,984
Combined Engagement
0
Total Likes
1,045,984
Total Retweets
209,197
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @forwhatisrightt: George Floyd died accused of using a counterfeit $20 bill. Remember when Brock Turner ACTUALLY raped an unconscious gi…
RT @KevOnStage: I don't usually yell at my kids. But he deserved it. https://t.co/0Bo9Hsecvx
RT @DerenicByrd: Kalief Browder allegedly stole a backpack at 16, spent 3 yrs at Riker's Island without trial. Riley Williams stole a lapt…
RT @HulkHogan: Can I text u
RT @fuckingtyrell: No Noise November. everyone shut up
Key Insights & Takeaways
He frequently shares behind-the-scenes content, which adds a personal touch to his posts. His collaborations with celebrities like Post Malone highlight his connections in the entertainment industry. He uses humor and personal updates to keep his audience engaged and relatable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 341,109
- + 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 @doq reveals an well-established Twitter presence with 341,109 followers. The account demonstrates a content-creator strategy, averaging 920.4 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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