Dominic Arpin
Animateur et producteur télé. Vlog/Van Aventure. Wannabe athlète.
372,849
Followers
1,394
Following
14,999
Tweets
124.6
Avg Engagement
2,326
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DominicArpin'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:2008-11-01
- Verification:No
- Location:Longueuil, Québec
Data Summary
- Tweets Analyzed:3,189
- Avg Likes per Tweet:6.4
- Avg Retweets per Tweet:118.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,189 tweetsHis tweets receive a moderate to high level of engagement, with an average of 143 likes and 171 retweets per tweet.
6.4
Avg Likes/Tweet
118.2
Avg Retweets/Tweet
20,267
Total Likes
377,093
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
15
75th Percentile
280,246
Top Tweet
0.33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
37.9%
Original
50.7%
Replies
8.7%
Retweets
2.7%
Quotes
0.0%
Threads
2.2%
With Media
47.2%
With Links
15.7%
With #Tags
70.4%
With @Mentions
3.9%
With Emojis
97
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.34
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.1%
Weekday Posts
19.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,189 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 276 retweets (9% 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 3,189 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 is likely interested in travel, adventure, and personal growth, with a focus on authenticity and emotional connection.
Below Average
Audience Quality
45.7%
Suspicion Index
72.2%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
78.2%
Empty Bio
78.8%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
84.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
66.3%
<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.
5,467,658
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
8.8%
Creators
4,385 accounts
12.4%
Consumers
6,190 accounts
78.8%
Dormant
39,425 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):
106
Verified Followers
0.1% of total
3,410
Protected Accounts
3.38% 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 |
|---|---|---|---|
| @radiookapi | 1,138,774 | News broadcaster | News, Congo, UN |
| @cfmontreal | 352,864 | Soccer Club | Soccer, MLS, Montreal |
| @drissawaked | 266,314 | Physician | Health education, Coronavirus, Medical specialist |
| @HarryGoaz | 236,234 | - | - |
| @AccuetHome | 184,230 | Tech Entrepreneur | Tools, online communities, digital nervous system |
| @Max25talbot | 183,168 | Entrepreneur | Family, Entrepreneurship, Individuality |
| @_cosatu | 170,550 | Labor Union | Labor, Workers' Rights, Solidarity |
| @mbockcote | 163,439 | Sociologue | Sociologie, Chroniqueur, Auteur |
| @damienrobi | 153,184 | Musician | music, joy, piano |
| @IvorRomeo | 133,718 | Musician | Music, Art, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,192
Followers With Bio
80,807
Followers Without Bio
19.99%
% With Bio
80.01%
% 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 3,189 analyzed353,567
Combined Engagement
0
Total Likes
353,567
Total Retweets
70,713
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @HamillHimself: no words #Devastated https://t.co/R9Xo7IBKmh
RT @starwars: May the Force be with you. #SWCO #StarWars40th https://t.co/10zZ4TXqpQ
RT @libe: Mahomet en une du «Charlie Hebdo» de mercredi http://t.co/2JGWBH2Qpz http://t.co/1AzjFiFvmL
RT @LePoint: #CharlieHebdo : les dessinateurs Charb et cabu sont décédés http://t.co/qTHIWBwTyV http://t.co/iCb0u7MvQ4
RT @martelclem: Rendons à l'illustratrice @Helengreeen la maternité de ce #gif de #Bowie qui tourne en boucle #DavidBowieRIP https://t.co/N…
Key Insights & Takeaways
He shares deeply personal and emotional stories that resonate with his audience He often highlights his personal challenges and growth, which builds trust and connection He uses social media to promote his vlogging and adventure content, aligning with his brand as a content creator
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 372,849
- + 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 @DominicArpin reveals an well-established Twitter presence with 372,849 followers. The account demonstrates a conversation-first approach, averaging 124.6 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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