Brian Aspinall
Founder: @codebreakeredu - Keynote Speaker, TEDx Talker, Coder, 🇨🇦 Prime Minister's Award For Teaching Excellence, Author of 📚, Uni Instructor #CodeBreaker
88,791
Followers
69,743
Following
102,801
Tweets
22.7
Avg Engagement
1,203
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mraspinall'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:2009-05-26
- Verification:No
- Location:Harrow, Ontario
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:15.1
- Avg Retweets per Tweet:7.6
- Followers Analyzed:10,998
Engagement Analysis
Based on 3,236 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is relatable and actionable, making it widely appreciated by his followers.
15.1
Avg Likes/Tweet
7.6
Avg Retweets/Tweet
48,855
Total Likes
24,690
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
14
75th Percentile
7,414
Top Tweet
0.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
22.2%
Original
27.7%
Replies
48.8%
Retweets
1.4%
Quotes
0.0%
Threads
0.3%
With Media
69.1%
With Links
65.9%
With #Tags
84.9%
With @Mentions
38.2%
With Emojis
196
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.25
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 1,580 retweets (49% 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 3,236 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 10,998 followersHis audience primarily consists of educators, teachers, and parents interested in improving classroom dynamics. His content is also appealing to those looking for innovative teaching methods and student engagement techniques.
Good
Audience Quality
18.0%
Suspicion Index
17.9%
Low-Quality %
121
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.9%
Empty Bio
15.7%
<10 Tweets
20.0%
Mass Following (>2K)
0.0%
New (<90 days)
30.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.7%
No URL
10.0%
<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.
13,213,494
Total Potential Reach
121
Median Follower Reach
425
75th Percentile Reach
12.3%
>1K followers
1.4%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.6%
Creators
7,000 accounts
20.6%
Consumers
2,266 accounts
15.7%
Dormant
1,732 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):
168
Verified Followers
1.53% of total
871
Protected Accounts
7.92% of total
6 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 |
|---|---|---|---|
| @OccupyDemocrats | 553,807 | Political Activist | Progressive, Grassroots, Politics |
| @AntonioParis | 369,959 | Planetary Scientist | Space, Exploration, Military |
| @noveliciouss | 356,630 | Publicist | Writing, Reading, Film |
| @StephenCaggiano | 343,190 | Content Creator | Content creation, Access, Resource for creators |
| @Havenlust | 294,244 | Photographer | Photography, Travel, Art |
| @shamma | 290,895 | Minister | Youth, Empowerment, Leadership |
| @spencerrayner | 265,093 | Digital Marketer | Cryptocurrency, Education, Health & Wellness |
| @GoogleExpertUK | 261,322 | SEO Expert | SEO, Cruise, Art |
| @shomaristone | 230,977 | Reporter | News, Emmy Awards, Journalism |
| @Coreandor | 195,799 | Author | politics, thriller, author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,154
Followers With Bio
2,844
Followers Without Bio
74.14%
% With Bio
25.86%
% 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 3,236 analyzed12,186
Combined Engagement
11,089
Total Likes
1,097
Total Retweets
2,437
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
When kids show up late for school, they still showed up. Thank them, not scold them. “I’m happy you’re here" goes a very long way.
When I started calling parents to tell them what their kids did well, rather than always what they did wrong, my entire classroom dynamic changed for the better - and parents were happy to hear from me.
I once expected students to sit quietly for a 40 min lesson. I got frustrated when they got fidgety. This lead to me yelling. Then I found myself fidgety after only 20 minutes on a PD Day. Everything changed. I changed from “delivering curriculum” to “discovering curriculum.”
When kids cheat on assignments it is because they have been taught that grades outweigh the importance of knowing things. We need to fix this. #CodeBreaker https://t.co/KsdnT6azOA
Just because you don’t want to be an administrator doesn’t mean you can’t be a leader.
Key Insights & Takeaways
Mraspinall highlights the importance of positive reinforcement in the classroom, such as thanking students for showing up on time. He shares how shifting focus from criticism to praise can transform classroom dynamics. He reflects on his own teaching journey, emphasizing the value of adapting methods to better engage students.
Strengths
- + Established follower base of 88,791
- + 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 @mraspinall reveals an growing Twitter presence with 88,791 followers. The account demonstrates a conversation-first approach, averaging 22.7 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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