536,428
Followers
99
Following
465
Tweets
1,229.4
Avg Engagement
770
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Matt_LeBlanc'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:2015-11-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:466
- Avg Likes per Tweet:898.6
- Avg Retweets per Tweet:330.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 466 tweetsHis tweets receive an average of 12,239 likes and 7,037 retweets, indicating strong audience interaction.
898.6
Avg Likes/Tweet
330.8
Avg Retweets/Tweet
418,741
Total Likes
154,138
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
112
Median Likes
40
Median Retweets
951
75th Percentile
41,125
Top Tweet
2.29
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
30.0%
Original
37.3%
Replies
18.7%
Retweets
13.9%
Quotes
0.0%
Threads
1.3%
With Media
50.9%
With Links
20.0%
With #Tags
63.1%
With @Mentions
3.9%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.24
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.5%
Weekday Posts
19.5%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 466 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 87 retweets (19% 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 466 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 likely includes fans of his acting career and other celebrities he interacts with.
Average
Audience Quality
24.1%
Suspicion Index
30.2%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.3%
Empty Bio
27.6%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
55.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
19.1%
<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.
48,264,425
Total Potential Reach
21
Median Follower Reach
106
75th Percentile Reach
4.0%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.1%
Creators
26,054 accounts
20.3%
Consumers
10,170 accounts
27.6%
Dormant
13,776 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):
341
Verified Followers
0.34% of total
17,520
Protected Accounts
17.52% 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 |
|---|---|---|---|
| @JohnCena | 14,105,351 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Jemima_Khan | 3,777,655 | Socialite | Family, Philanthropy, Environment |
| @RehamKhan1 | 3,665,873 | Political Commentator | Politics, Commentary, Broadcasting |
| @russellcrowe | 2,912,392 | Actor | Movies, Music, Family |
| @MissMalini | 2,618,401 | Blogger | Bollywood, Fashion, Beauty |
| @foleyispod | 1,977,092 | - | - |
| @itvcorrie | 1,735,974 | TV Show | TV, Soap Opera, Drama |
| @goldenglobes | 1,448,865 | Awards Show | Movies, Television, Awards |
| @HBOMaxBR | 1,165,788 | - | - |
| @FarrahYousef | 1,054,998 | Singer | Music, Dreaming, Syrian |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,040
Followers With Bio
39,960
Followers Without Bio
60.04%
% With Bio
39.96%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 466 analyzed159,015
Combined Engagement
90,164
Total Likes
68,851
Total Retweets
31,803
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Should be a good time! https://t.co/5mrWPJkD3R
Remember this? https://t.co/jb9NtzPO7l
What a great night. So nice to see the casts of so many great shows who's lives have been touched by Jimmy Burrows. https://t.co/8RafLV3hoI
Hahaha. Me too. Thanks a lot. https://t.co/PEhH8WYYPI
When somebody asks you what to eat this weekend… https://t.co/SwownDtsMD
Key Insights & Takeaways
His top tweets include nostalgic references and personal interactions with other celebrities. He often shares personal moments and gratitude, which resonate with his audience. His verified status is low, suggesting a more organic and personal brand presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 536,428
- + 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_LeBlanc reveals an exceptionally influential Twitter presence with 536,428 followers. The account demonstrates a conversation-first approach, averaging 1,229.4 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access