Lee Newton
I love Christmas more than you
149,457
Followers
173
Following
5,906
Tweets
1,832.3
Avg Engagement
684
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @leenewtonsays'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:2012-01-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,177
- Avg Likes per Tweet:378.2
- Avg Retweets per Tweet:1,454.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,177 tweetsLeenewtonsays consistently receives high likes and retweets, indicating strong audience interaction. Their tweets often spark conversations and shareable content.
378.2
Avg Likes/Tweet
1,454.1
Avg Retweets/Tweet
1,201,575
Total Likes
4,619,572
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
119
Median Likes
11
Median Retweets
398
75th Percentile
593,974
Top Tweet
12.26
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
60.4%
Original
13.7%
Replies
17.6%
Retweets
8.3%
Quotes
0.0%
Threads
0.5%
With Media
41.6%
With Links
8.6%
With #Tags
40.6%
With @Mentions
8.3%
With Emojis
82
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.4%
Weekday Posts
23.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,177 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 559 retweets (18% 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 3,177 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 followersTheir followers are likely fans of humor, pop culture, and social commentary. The audience seems to appreciate clever wordplay and viral moments.
Average
Audience Quality
21.6%
Suspicion Index
22.0%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.0%
Empty Bio
17.4%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
55.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.6%
No URL
10.0%
<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.
46,089,383
Total Potential Reach
32
Median Follower Reach
113
75th Percentile Reach
3.0%
>1K followers
0.5%
>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).
60.7%
Creators
30,338 accounts
21.9%
Consumers
10,953 accounts
17.4%
Dormant
8,709 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):
237
Verified Followers
0.23% of total
12,910
Protected Accounts
12.78% 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 |
|---|---|---|---|
| @shanedawson | 8,194,851 | YouTuber | Merchandise, YouTube, Comedy |
| @dylanobrien | 6,172,460 | - | - |
| @StationCDRKelly | 5,266,977 | Astronaut | Space, Endurance, Stars |
| @6BillionPeople | 2,033,195 | - | - |
| @jasonsegel | 1,929,667 | - | - |
| @michaelreeves | 1,619,930 | YouTuber | Programming, Robotics, Chaos |
| @soledadobrien | 1,317,896 | Journalist | working, mom, journalist |
| @joncoopertweets | 1,257,621 | Political Strategist | Politics, Fundraising, Campaigns |
| @CybersmileHQ | 1,155,851 | Nonprofit | kindness, equality, inclusion |
| @DEADLINE | 1,113,810 | Entertainment News | Entertainment, News, Hollywood |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,157
Followers With Bio
37,834
Followers Without Bio
62.54%
% With Bio
37.46%
% 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 3,177 analyzed1,209,843
Combined Engagement
468,488
Total Likes
741,355
Total Retweets
241,969
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
THE. MASK. GOES. OVER. YOUR. NOSE.
RT @JoeBiden: Wear a mask. Wash your hands. Vote out Donald Trump.
RT @verygooster: every woman in this pic tho https://t.co/6Y2SvY4YlU
RT @davidingolcar: We are the first human beings to see a Mars sunset. Its quite a thought. https://t.co/cM5UJojiPy
RT @Jordan_Deeb: GameStop sitting amongst Tesla and Amazon after reddit users make it a Fortune 500 company https://t.co/AVUtcjs6gl
Key Insights & Takeaways
Their content is highly shareable and often goes viral due to humor and relatability They frequently reference pop culture and current events to connect with their audience They use humor and satire to comment on societal issues and trends
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 149,457
- + 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 @leenewtonsays reveals an exceptionally influential Twitter presence with 149,457 followers. The account demonstrates a content-creator strategy, averaging 1,832.3 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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