Matthew Lapinskas
Actor 🎭 Rep @IAM_Global https://t.co/aL9RT22BlF
77,585
Followers
2,016
Following
8,389
Tweets
507.9
Avg Engagement
112
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mattylapinskas'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:2012-04-23
- Verification:No
- Location:Ascot
Data Summary
- Tweets Analyzed:3,145
- Avg Likes per Tweet:4.4
- Avg Retweets per Tweet:503.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,145 tweetsHis tweets typically receive around 242 likes and 35 retweets on average, indicating a moderate level of audience interaction.
4.4
Avg Likes/Tweet
503.5
Avg Retweets/Tweet
13,804
Total Likes
1,583,523
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
7
75th Percentile
673,039
Top Tweet
6.55
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
36.2%
Original
38.9%
Replies
23.9%
Retweets
1.0%
Quotes
0.0%
Threads
1.4%
With Media
54.4%
With Links
25.3%
With #Tags
80.4%
With @Mentions
27.2%
With Emojis
119
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.07
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,145 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 752 retweets (24% 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 3,145 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 followersHis audience includes fans of his acting work, fellow creators, and individuals interested in entertainment and pop culture discussions.
Average
Audience Quality
24.8%
Suspicion Index
24.6%
Low-Quality %
74
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.5%
Empty Bio
18.1%
<10 Tweets
22.1%
Mass Following (>2K)
0.0%
New (<90 days)
52.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
9.7%
<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.
35,459,062
Total Potential Reach
74
Median Follower Reach
275
75th Percentile Reach
9.9%
>1K followers
2.9%
>10K followers
1.2%
>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).
55.1%
Creators
5,512 accounts
26.8%
Consumers
2,676 accounts
18.1%
Dormant
1,812 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):
56
Verified Followers
0.56% of total
1,463
Protected Accounts
14.63% of total
9 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 |
|---|---|---|---|
| @benlandis | 2,830,350 | - | - |
| @Tyson_Fury | 2,249,999 | Boxer | Boxing, Fitness, Motivation |
| @KatiePrice | 1,826,228 | Influencer | YouTube, Subscribe, Channel |
| @CybersmileHQ | 1,150,121 | Nonprofit | kindness, equality, inclusion |
| @laura_woodsy | 741,637 | Sports Broadcaster | Sports, TV, Radio |
| @ericschiffer | 698,381 | CEO | business, media, author |
| @Markgatiss | 692,961 | Actor | Acting, Writing, Strangling |
| @paul_steele | 644,232 | Travel Blogger | Travel, hiking, photography |
| @AmeliaLilyOffic | 622,307 | Singer | Music, Acting, Reality TV |
| @RicciGuarnaccio | 616,209 | DJ | DJing, Worldwide Management, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,055
Followers With Bio
3,945
Followers Without Bio
60.55%
% With Bio
39.45%
% 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 3,145 analyzed1,121,844
Combined Engagement
0
Total Likes
1,121,844
Total Retweets
224,369
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening and will return to London tomorrow. https://t.co/VfxpXro22W
RT @Lisa_Bizzle: I have watched this approximately 9,345,678 times so far today https://t.co/6ND1H1qAMF
RT @ThaGoldenJet: Will Smith had enough of y’all shit https://t.co/XaN37vOqSs
RT @FloydMayweather: IT'S OFFICIAL!!! https://t.co/ND07Ixugs2 https://t.co/JpqFW5WbcB
RT @ManUtd: Home. #POGBACK https://t.co/N0irgKbuv5
Key Insights & Takeaways
He frequently engages with other creators and fans through direct mentions and comments. His content often includes personal milestones and humor. He uses Twitter as a platform for both self-promotion and candid commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,585
- + 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 @mattylapinskas reveals an well-established Twitter presence with 77,585 followers. The account demonstrates a conversation-first approach, averaging 507.9 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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