Matt Lanter
Christian. Actor. Jedi.
364,373
Followers
402
Following
9,213
Tweets
465.7
Avg Engagement
2,965
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MattLanter'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:2009-11-12
- Verification:No
- Location:Everywhere
Data Summary
- Tweets Analyzed:3,147
- Avg Likes per Tweet:250.3
- Avg Retweets per Tweet:215.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,147 tweetsHis tweets typically receive around 6,403 likes and 1,614 retweets on average, showing strong audience interaction. He frequently collaborates with media outlets and fan communities to boost engagement.
250.3
Avg Likes/Tweet
215.4
Avg Retweets/Tweet
787,556
Total Likes
677,926
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
83
Median Likes
23
Median Retweets
320
75th Percentile
186,093
Top Tweet
1.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
38.5%
Original
12.7%
Replies
25.4%
Retweets
23.4%
Quotes
0.0%
Threads
1.3%
With Media
59.8%
With Links
56.1%
With #Tags
52.6%
With @Mentions
10.0%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
0.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.8%
Weekday Posts
16.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,147 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 798 retweets (25% 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 3,147 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 includes Star Wars fans, TV show enthusiasts, and followers of his acting career. The engagement is high, indicating a dedicated and interactive fan base.
Good
Audience Quality
19.0%
Suspicion Index
20.6%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.5%
Empty Bio
13.0%
<10 Tweets
13.4%
Mass Following (>2K)
0.0%
New (<90 days)
43.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
7.8%
<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.
96,267,297
Total Potential Reach
59
Median Follower Reach
219
75th Percentile Reach
6.2%
>1K followers
0.6%
>10K followers
0.2%
>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).
70.6%
Creators
35,277 accounts
16.4%
Consumers
8,215 accounts
13.0%
Dormant
6,508 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):
667
Verified Followers
0.66% of total
17,011
Protected Accounts
16.84% 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 |
|---|---|---|---|
| @netflix | 21,759,470 | Entertainment | Cardi B, Netflix, Petition |
| @JohnCena | 14,103,617 | Wrestler | Wrestling, Motivation, Self-promotion |
| @kellyclarkson | 11,972,546 | Singer | singing, writing, coaching |
| @Sony | 5,801,452 | Electronics | technology, entertainment, innovation |
| @NBCTheVoice | 4,950,843 | Singing | Music, Singing, Competition |
| @ALISHAMARIE | 4,761,839 | Influencer | Fashion, Beauty, Lifestyle |
| @StephenAmell | 2,267,770 | - | - |
| @BeatsByAssassin | 2,264,369 | Multitalented | Actor, Director, Rapper |
| @ElizabethBanks | 2,181,842 | Actress | Comedy, Acting, Movies |
| @6BillionPeople | 2,035,782 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,716
Followers With Bio
36,283
Followers Without Bio
64.08%
% With Bio
35.92%
% 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 3,147 analyzed336,833
Combined Engagement
0
Total Likes
336,833
Total Retweets
67,367
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @bridgescoffey6: Help me out... https://t.co/maAC4rKMwF
RT @TheWookieeRoars: The family of Peter Mayhew, with deep love and sadness, regrets to share the news that Peter has passed away. He left…
RT @Braves: THE ATLANTA BRAVES ARE WORLD SERIES CHAMPIONS! #BattleATL | #ForTheA https://t.co/rDXjLj4HSj
RT @starwars: Just debuted at @SW_Celebration: a suspenseful new teaser for #TheForceAwakens. #SWCA https://t.co/IHAQsZHMG7
RT @StephenCurry30: I'm just a nobody trying to tell everybody about somebody who can save anybody🙏🏽
Key Insights & Takeaways
He leverages his Star Wars connection to drive engagement and nostalgia. His tweets often include hashtags and mentions of media outlets to expand reach. He uses fan-driven themes like #Clockblockers and #Timeless to connect with specific audiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 364,373
- + Strong original content creation
- + 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 @MattLanter reveals an well-established Twitter presence with 364,373 followers. The account demonstrates a content-creator strategy, averaging 465.7 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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