Sarah Levy
🍕
217,976
Followers
220
Following
1,801
Tweets
1,145.1
Avg Engagement
164
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sarahlevy_'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:2009-04-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,803
- Avg Likes per Tweet:175.4
- Avg Retweets per Tweet:969.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,803 tweetsHer tweets receive high engagement, indicating a loyal and active follower base.
175.4
Avg Likes/Tweet
969.7
Avg Retweets/Tweet
316,263
Total Likes
1,748,330
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
72
75th Percentile
228,206
Top Tweet
5.25
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
44.0%
Original
37.5%
Replies
7.2%
Retweets
11.3%
Quotes
0.0%
Threads
0.4%
With Media
27.1%
With Links
29.3%
With #Tags
64.7%
With @Mentions
23.5%
With Emojis
73
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.85
Reply/Original Ratio
1.58
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.8%
Weekday Posts
17.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,803 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 129 retweets (7% 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 1,803 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 followersHer audience appears to be interested in personal achievements and relatable life experiences.
Average
Audience Quality
20.4%
Suspicion Index
25.5%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.6%
Empty Bio
15.7%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
46.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
9.5%
<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.
57,606,839
Total Potential Reach
49
Median Follower Reach
177
75th Percentile Reach
5.4%
>1K followers
0.5%
>10K followers
0.1%
>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).
65.5%
Creators
32,775 accounts
18.7%
Consumers
9,362 accounts
15.7%
Dormant
7,863 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):
291
Verified Followers
0.29% of total
16,697
Protected Accounts
16.53% 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 | 14,100,210 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SteveMartinToGo | 8,674,447 | - | - |
| @Lin_Manuel | 3,473,478 | Composer | Music, Theater, Activism |
| @jasonsegel | 1,930,966 | - | - |
| @katiecouric | 1,687,212 | Journalist | Journalism, Cancer Research, Podcasting |
| @SinghLions | 1,334,237 | Restaurateur | Food, Travel, Influencer |
| @Kat_McNamara | 1,303,474 | Actress | Acting, Baking, Nerdiness |
| @joncoopertweets | 1,255,146 | Political Strategist | Politics, Fundraising, Campaigns |
| @funder | 1,106,870 | Journalist | Politics, Journalism, Music |
| @TheJaclynTaylor | 1,009,740 | Adult film actress | N/A |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,006
Followers With Bio
41,985
Followers Without Bio
58.43%
% With Bio
41.57%
% 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 1,803 analyzed891,768
Combined Engagement
0
Total Likes
891,768
Total Retweets
178,354
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @BarackObama: I wrote out some thoughts on how to make this moment a real turning point to bring about real change––and pulled together…
RT @AleciaWarrenXO: I'm being told that this REAL pic is VERY upsetting to @PressSec & @POTUS so whatever you do, DO NOT RT this photo. htt…
RT @POTUS44: I won't stop; I'll be right there with you as a citizen, inspired by your voices of truth and justice, good humor, and love.
RT @killerbeemma: Peaceful protest in Minneapolis. Share this. Post this. It’s not exciting, it’s not shocking, but it is POWERFUL. https:/…
RT @wxdam: 17 people die in a high school and a month later there's a nationwide protest to get the attention of lawmakers. One dog dies o…
Key Insights & Takeaways
She often shares personal and emotional moments, which resonate with her audience. Her content includes both self-reflection and celebration of others' successes. She uses hashtags and emojis to enhance the tone and reach of her tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 217,976
- + 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 @sarahlevy_ reveals an exceptionally influential Twitter presence with 217,976 followers. The account demonstrates a content-creator strategy, averaging 1,145.1 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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