Matt Di'angelo
Fabienne: Whose motorcycle is this? Butch: It's a chopper, baby. F: Whose chopper is this? B: It's Zed's F: Who's Zed? B: Zed's dead, baby. Zed's dead.
80,390
Followers
2,132
Following
18,077
Tweets
2,708.8
Avg Engagement
125
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @matt_diangelo'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:2011-02-13
- Verification:No
- Location:north london (RED)
Data Summary
- Tweets Analyzed:3,088
- Avg Likes per Tweet:1.3
- Avg Retweets per Tweet:2,707.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,088 tweetsThe tweets show a mix of personal and professional content, with a notable emphasis on storytelling and self-reflection. The high retweet rate suggests a strong connection with the audience on personal and creative topics.
1.3
Avg Likes/Tweet
2,707.4
Avg Retweets/Tweet
4,050
Total Likes
8,360,599
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
159
Median Retweets
1,427
75th Percentile
166,849
Top Tweet
33.7
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
8.8%
Original
9.9%
Replies
74.6%
Retweets
6.6%
Quotes
0.0%
Threads
1.0%
With Media
69.3%
With Links
15.5%
With #Tags
87.0%
With @Mentions
19.9%
With Emojis
149
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.12
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.4%
Weekday Posts
26.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,088 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 2,303 retweets (75% 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 3,088 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 appears to be fans of theater and acting, as well as those interested in personal development and storytelling. They are likely to appreciate both the artistic and candid aspects of the content.
Average
Audience Quality
27.6%
Suspicion Index
27.0%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.2%
Empty Bio
21.6%
<10 Tweets
19.8%
Mass Following (>2K)
0.0%
New (<90 days)
64.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
12.7%
<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.
55,707,574
Total Potential Reach
44
Median Follower Reach
172
75th Percentile Reach
6.3%
>1K followers
2.0%
>10K followers
1.1%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.4%
Creators
5,135 accounts
27.0%
Consumers
2,701 accounts
21.6%
Dormant
2,164 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):
68
Verified Followers
0.68% of total
1,455
Protected Accounts
14.55% 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 | 14,097,983 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,678,702 | Chef | Cooking, Food, Restaurants |
| @6BillionPeople | 2,020,041 | - | - |
| @StaceySolomon | 1,551,265 | TV Personality | Family, TV, Singing |
| @RexChapman | 1,252,698 | Commentator | Basketball, Horse racing, Commentary |
| @ZubyMusic | 1,123,604 | Rapper | Rapper, Author, Podcaster |
| @rogerhamilton | 923,877 | Entrepreneur | education, entrepreneurship, futurism |
| @Baddiel | 882,708 | Comedian | Comedy, Writing, Football |
| @benshephard | 804,117 | TV Presenter | Family, fitness, TV |
| @DavidLammy | 794,695 | Politician | Politics, Justice, Football |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,875
Followers With Bio
4,125
Followers Without Bio
58.75%
% With Bio
41.25%
% 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 3,088 analyzed718,858
Combined Engagement
0
Total Likes
718,858
Total Retweets
143,772
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @maxbrooksauthor: A message from me and my dad, @Melbrooks. #coronavirus #DontBeASpreader https://t.co/Hqhc4fFXbe
RT @disharryland: this is the most cat thing ive ever seen https://t.co/EXrVuNfhog
RT @BarackObama: If you’re wondering whether it’s an overreaction to cancel large gatherings and public events (and I love basketball), here’s a useful primer as to why these measures can slow the spread of the virus and save lives. We have to look out for each other. https://t.c
RT @elonmusk: https://t.co/Gw6xaw1u0N
RT @johnfritchey: Canada must feel like they live in an apartment above a meth lab.
Key Insights & Takeaways
The user frequently shares personal growth and learning experiences from working with industry professionals. They often blend humor with deeper reflections on their career and personal challenges. There is a recurring theme of self-taunting and vulnerability, which resonates with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 80,390
- + 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 @matt_diangelo reveals an exceptionally influential Twitter presence with 80,390 followers. The account demonstrates a conversation-first approach, averaging 2,708.8 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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