Lemar
My new album #PageInMyHeart is OUT NOW! Listen here ⬇️ https://lemar.lnk.to/bioTB
65,867
Followers
1,066
Following
13,815
Tweets
719.5
Avg Engagement
384
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Lemar'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:2009-02-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,182
- Avg Likes per Tweet:12.9
- Avg Retweets per Tweet:706.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,182 tweetsLemar's tweets typically receive around 920 likes and 379 retweets on average, indicating a moderate level of audience interaction.
12.9
Avg Likes/Tweet
706.7
Avg Retweets/Tweet
40,894
Total Likes
2,248,713
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
17
75th Percentile
1,411,794
Top Tweet
10.92
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
45.1%
Original
33.2%
Replies
10.7%
Retweets
11.0%
Quotes
0.0%
Threads
0.3%
With Media
45.9%
With Links
33.7%
With #Tags
65.0%
With @Mentions
49.7%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.74
Reply/Original Ratio
1.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.1%
Weekday Posts
33.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,182 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 341 retweets (11% 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 3,182 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 appears to be a mix of music fans and sports enthusiasts, particularly those interested in Formula 1 and Liverpool FC.
Average
Audience Quality
27.6%
Suspicion Index
33.2%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
31.7%
<10 Tweets
17.0%
Mass Following (>2K)
0.0%
New (<90 days)
53.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
22.6%
<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.
28,377,871
Total Potential Reach
45
Median Follower Reach
252
75th Percentile Reach
9.3%
>1K followers
1.7%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.4%
Creators
5,142 accounts
16.9%
Consumers
1,691 accounts
31.7%
Dormant
3,167 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):
57
Verified Followers
0.57% of total
1,053
Protected Accounts
10.53% of total
8 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 |
|---|---|---|---|
| @Schofe | 4,373,494 | TV Presenter | food, wine, pedantic |
| @yemialadee | 2,121,448 | Singer | Music, Fashion, Empowerment |
| @6BillionPeople | 2,015,219 | - | - |
| @Rylan | 1,763,978 | Entertainer | Luxury, Entertainment, Representation |
| @ellamai | 1,622,903 | Singer | Music, R&B, Singer |
| @BlaqBonez | 1,246,195 | Rapper | Music, Rap, Album |
| @BBCRadio2 | 739,270 | Radio Station | Music, Entertainment, Radio |
| @larrykim | 725,460 | Entrepreneur | Startups, AdWords, Chatbots |
| @BrymOlawale | 503,467 | - | - |
| @JamesMelville | 438,518 | Consultant | Communications, Sponsorship, Writing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,621
Followers With Bio
4,379
Followers Without Bio
56.21%
% With Bio
43.79%
% 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 3,182 analyzed2,126,129
Combined Engagement
0
Total Likes
2,126,129
Total Retweets
425,226
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/InZ58zkoAm
RT @BarackObama: "...For love comes more naturally to the human heart than its opposite." - Nelson Mandela
RT @BarackObama: “Low plastic stool, cheap but delicious noodles, cold Hanoi beer.” This is how I’ll remember Tony. He taught us about food — but more importantly, about its ability to bring us together. To make us a little less afraid of the unknown. We’ll miss him. https://t.co
RT @JKCorden: Holy shit. This commercial. https://t.co/aXewAG5C3i
RT @wizkidayo: #ENDSARS #ENDPOLICEBRUTALITY #ENDBADGOVERNANCE!! 💔🇳🇬🖤
Key Insights & Takeaways
He frequently uses hashtags and links to drive traffic to his music and other content His engagement is influenced by both music and sports topics He maintains a casual and conversational tone in his tweets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 65,867
- + 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 @Lemar reveals an well-established Twitter presence with 65,867 followers. The account demonstrates a content-creator strategy, averaging 719.5 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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