Levi Mitchell
Singer | Songwriter | Producer |business inquiries: [email protected]
52,085
Followers
13,271
Following
23,005
Tweets
1,992.3
Avg Engagement
257
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @levimitchell'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:2011-06-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,132
- Avg Likes per Tweet:15.7
- Avg Retweets per Tweet:1,976.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,132 tweetsThe account shows strong engagement with a significant number of likes and retweets, indicating a loyal and active fan base.
15.7
Avg Likes/Tweet
1,976.6
Avg Retweets/Tweet
49,061
Total Likes
6,190,722
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
27
75th Percentile
2,959,102
Top Tweet
38.25
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
53.1%
Original
18.4%
Replies
17.0%
Retweets
11.6%
Quotes
0.0%
Threads
0.3%
With Media
45.4%
With Links
18.7%
With #Tags
41.3%
With @Mentions
38.2%
With Emojis
67
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.68
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,132 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 531 retweets (17% 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 3,132 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 music enthusiasts, fellow artists, and industry professionals interested in collaborations or business opportunities.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
139
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.7%
No URL
100.0%
<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.
78,244,471
Total Potential Reach
139
Median Follower Reach
534
75th Percentile Reach
16.6%
>1K followers
4.3%
>10K followers
2.0%
>50K followers
1.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,038
Protected Accounts
10.38% 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 |
|---|---|---|---|
| @JohnCena | 14,097,786 | Wrestler | Wrestling, Motivation, Self-promotion |
| @carterreynolds | 2,459,321 | Influencer | Instagram, Email, Contact |
| @6BillionPeople | 2,010,582 | - | - |
| @gusrochaa | 1,813,557 | Influencer | friendship, email, Brazil |
| @TheWalkingDead | 1,602,245 | TV Show | Zombies, Social Justice, TV Shows |
| @thedriverera | 1,306,959 | Musician | Music, Album, Release |
| @PipeBueno | 1,303,793 | Singer | Music, Songwriting, Performance |
| @johnrampton | 1,217,194 | Entrepreneur | Entrepreneurship, Marketing, Networking |
| @allisimpson | 1,175,760 | Entertainer | Host, Singer, Model |
| @Tinashe | 1,098,966 | Musician | Music, Fashion, Beauty |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,979
Followers With Bio
3,021
Followers Without Bio
69.79%
% With Bio
30.21%
% 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 3,132 analyzed4,099,262
Combined Engagement
0
Total Likes
4,099,262
Total Retweets
819,852
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @Disney: The #Incredibles2 trailer is here. See the film in theatres June 15, 2018. https://t.co/cTZIkWeDK5
RT @iamlgndfrvr: I Tried Giving My Daughter The Worst Xmas Gift Ever & I Didn’t Expect This Reaction 😢 https://t.co/44cJytI83m
RT @autumnbragwell: let’s settle this: Does pineapple belong on pizza? RT for yes Fav for no https://t.co/MtxHB6pUoh
RT @JTSHEEPS35: Baby crocodiles sound like they’re shooting laser guns and it’s best thing ever 🤣🤣 https://t.co/E999XezL2h
Key Insights & Takeaways
The user frequently interacts with specific followers, suggesting a close-knit network of collaborators and fans. The account promotes music and creative projects, indicating a focus on artistic expression. There is a clear emphasis on business inquiries, showing a professional and entrepreneurial side.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,085
- + 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 @levimitchell reveals an exceptionally influential Twitter presence with 52,085 followers. The account demonstrates a content-creator strategy, averaging 1,992.3 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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