Daniel Carcillo
Mental Health • Concussion • Cannabis • Mushroom • Psychedelic Advocate • @healingrt • @mycrewdoses • 2x @StanleyCup Champ
85,413
Followers
4,103
Following
18,296
Tweets
385.0
Avg Engagement
1,020
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CarBombBoom13'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:2011-08-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:52.3
- Avg Retweets per Tweet:332.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,179 tweetsThe account has high engagement with an average of 3,199 likes and 442 retweets per tweet, suggesting a dedicated and active following. The content often sparks debate and discussion.
52.3
Avg Likes/Tweet
332.7
Avg Retweets/Tweet
166,420
Total Likes
1,057,618
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
2
Median Retweets
55
75th Percentile
134,946
Top Tweet
4.51
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
20.1%
Original
41.6%
Replies
33.7%
Retweets
4.7%
Quotes
0.0%
Threads
0.3%
With Media
52.8%
With Links
25.4%
With #Tags
89.8%
With @Mentions
12.2%
With Emojis
177
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.07
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.8%
Weekday Posts
26.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,179 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 1,071 retweets (34% 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 3,179 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 10,000 followersThe audience likely includes individuals interested in mental health, cannabis culture, and hockey. They may also be politically engaged and interested in discussions around abuse and justice.
Good
Audience Quality
18.7%
Suspicion Index
21.4%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
12.4%
<10 Tweets
15.2%
Mass Following (>2K)
0.0%
New (<90 days)
39.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.8%
No URL
7.4%
<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.
35,514,518
Total Potential Reach
92
Median Follower Reach
315
75th Percentile Reach
10.9%
>1K followers
2.0%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.4%
Creators
7,236 accounts
15.2%
Consumers
1,520 accounts
12.4%
Dormant
1,244 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):
161
Verified Followers
1.61% of total
1,168
Protected Accounts
11.68% 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 |
|---|---|---|---|
| @JohnCena | 14,097,093 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Alyssa_Milano | 3,483,987 | - | - |
| @tferriss | 1,909,401 | Author | books, investing, podcasting |
| @RexChapman | 1,253,691 | Commentator | Basketball, Horse racing, Commentary |
| @Deadspin | 829,638 | Sports News | Sports, News, Fearless |
| @CalvinHelin | 582,958 | Author | empowerment, responsibility, self-reliance |
| @JayOnrait | 536,884 | Sports commentator | Sports, TSN, Views |
| @guyalepage | 481,163 | TV Host | RBO, 1G1F, TLMEP |
| @Weinbach | 373,862 | Sports Commentator | Basketball, Sports, Media |
| @_Truffle_Report | 295,599 | Journalist | Psychedelics, Reporting, Truffles |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,467
Followers With Bio
3,533
Followers Without Bio
64.67%
% With Bio
35.33%
% 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 3,179 analyzed416,553
Combined Engagement
0
Total Likes
416,553
Total Retweets
83,311
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @BNicholsLiberty: Scary marijuana stats: 1. 88,000 deaths are annually attributed to excessive use. 2. Every day, 30 people in the US die in car crashes that involve a marijuana-impaired driver. 3.Teen marijuana use kills 4,700 people each year 4. Lol jk those stats are
RT @POTUS: As I’ve said before, no one should be in jail just for using or possessing marijuana. Today, I’m taking steps to end our failed approach. Allow me to lay them out.
RT @Sethrogen: Always be more critical of the people upholding the racist system than the ones who are fighting against it.
RT @Public_Citizen: American companies denying workers paid sick leave: McDonald's - 517K workers Walmart - 347K workers Kroger - 189K workers Subway - 80K workers Burger King - 165K workers Pizza Hut: - 156K workers Target - 51K workers Marriott - 139K workers Wendy's
RT @FareedNBCS: One of the best, smartest, impromptu speeches I have ever heard. Amazing leadership. https://t.co/SHiPBdVDvC
Key Insights & Takeaways
The user frequently shares personal and traumatic experiences, indicating a focus on advocacy and healing. They engage with public figures and organizations, suggesting a desire for recognition and influence. The content often blends personal narrative with political and social commentary, highlighting a multifaceted approach to advocacy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 85,413
- + 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 @CarBombBoom13 reveals an well-established Twitter presence with 85,413 followers. The account demonstrates a conversation-first approach, averaging 385.0 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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