Casey Lawrence
D[M]V 🇯🇲 Business Contact: [email protected]
301,550
Followers
519
Following
97,385
Tweets
1,722.8
Avg Engagement
339
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LeanandCuisine'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:2011-01-06
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:590
- Avg Likes per Tweet:1,299.4
- Avg Retweets per Tweet:423.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 590 tweetsLeanandCuisine's tweets receive high engagement, with an average of 22k likes and 3k retweets per tweet. This suggests a highly interactive and loyal follower base.
1,299.4
Avg Likes/Tweet
423.4
Avg Retweets/Tweet
766,635
Total Likes
249,810
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
172
75th Percentile
171,553
Top Tweet
5.71
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
13.2%
Original
32.4%
Replies
46.4%
Retweets
8.0%
Quotes
0.0%
Threads
0.0%
With Media
27.3%
With Links
0.8%
With #Tags
76.6%
With @Mentions
28.1%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.45
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.4%
Weekday Posts
24.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 590 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 274 retweets (46% 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 590 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 followersThe audience appears to be interested in pop culture, gaming, and humor. They are likely young adults who enjoy relatable and entertaining content.
Average
Audience Quality
20.5%
Suspicion Index
21.8%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.9%
Empty Bio
18.3%
<10 Tweets
12.5%
Mass Following (>2K)
0.0%
New (<90 days)
46.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.0%
No URL
11.8%
<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.
48,577,212
Total Potential Reach
55
Median Follower Reach
224
75th Percentile Reach
5.6%
>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).
65.0%
Creators
32,519 accounts
16.6%
Consumers
8,315 accounts
18.3%
Dormant
9,166 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):
639
Verified Followers
0.63% of total
13,691
Protected Accounts
13.56% 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 | 14,105,796 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KameronBennett | 1,809,507 | DJ | Music, DJing, Booking |
| @BrotherNature | 1,709,175 | Animal Lover | Animals, Nature, Food |
| @Temperrr | 1,603,365 | Founder | Gaming, eSports, Content Creation |
| @Whataburger | 1,265,979 | Restaurant | Burgers, Pride, Serving |
| @RexChapman | 1,255,098 | Commentator | Basketball, Horse racing, Commentary |
| @CSuiteConfess | 1,005,900 | Executive Coach | #MeToo, Executives, Navigating |
| @adam22 | 918,220 | Podcaster | Music, BMX, Fashion |
| @NOH8Campaign | 802,074 | Activism | equality, bullying, discrimination |
| @NeedforSpeed | 734,567 | Gaming | Racing, Gaming, Speed |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
71,584
Followers With Bio
29,415
Followers Without Bio
70.88%
% With Bio
29.12%
% 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 590 analyzed446,814
Combined Engagement
395,465
Total Likes
51,349
Total Retweets
89,363
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
They beat his ass after the stair master workout!? Nah that nigga went into battle with 25hp https://t.co/WfPCShri7I
Them the joints ludacris was wearing when he said “stand up” https://t.co/aBzPf4LMYx
How RPG games trick you into thinking you have choices https://t.co/BtEeHbUPfa
This the angel that appear on 50 cents left shoulder when he make decisions https://t.co/da4UK5IiZc
I’m crying cause Jackie Chan really tell niggas that he don’t want to fight then beat everybody ass in the room
Key Insights & Takeaways
The user frequently shares content that blends humor with deeper commentary on media and culture. They often reference popular culture and gaming, which resonates with their audience. Their personal anecdotes and observations add a relatable and authentic tone to their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 301,550
- + 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 @LeanandCuisine reveals an exceptionally influential Twitter presence with 301,550 followers. The account demonstrates a conversation-first approach, averaging 1,722.8 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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