Sarah Jeffery
🇨🇦 she/her
117,381
Followers
436
Following
11,389
Tweets
3,579.8
Avg Engagement
191
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sarahjeffery'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:2008-12-20
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,147
- Avg Likes per Tweet:198.2
- Avg Retweets per Tweet:3,381.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,147 tweetsHer tweets receive high engagement, with an average of 5,549 likes and 744 retweets per post.
198.2
Avg Likes/Tweet
3,381.6
Avg Retweets/Tweet
623,631
Total Likes
10,641,876
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
14
Median Retweets
351
75th Percentile
1,416,537
Top Tweet
30.5
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
31.0%
Original
30.2%
Replies
30.3%
Retweets
8.5%
Quotes
0.0%
Threads
0.6%
With Media
46.9%
With Links
26.0%
With #Tags
70.3%
With @Mentions
36.9%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.97
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,147 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 952 retweets (30% 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 3,147 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 followersHer audience appears to be interested in emotional storytelling and relatable experiences.
Average
Audience Quality
31.3%
Suspicion Index
33.5%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
42.0%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
72.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
29.7%
<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.
16,695,779
Total Potential Reach
9
Median Follower Reach
60
75th Percentile Reach
2.6%
>1K followers
0.1%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
35.5%
Creators
3,551 accounts
22.4%
Consumers
2,245 accounts
42.0%
Dormant
4,204 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):
18
Verified Followers
0.18% of total
1,434
Protected Accounts
14.34% of total
3 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 | 14,093,812 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FashionweekNYC | 574,169 | Fashion Blogger | Fashion, Culture, Runways |
| @zammit_marc | 386,604 | Filmmaker | Film, Acting, Producing |
| @darcydonavan | 240,607 | Actress | Acting, Music, Producing |
| @TheRealPeteG | 52,397 | Entrepreneur | Business, Promo, Entrepreneur |
| @MsHardOn69 | 47,267 | Adult Entertainer | Sexting, FAP, Horny |
| @iamEddieStokes | 46,064 | Music Producer | Music, Production, DJing |
| @EObsidian | 32,514 | - | - |
| @rachelxlily | 31,845 | - | - |
| @okayksux | 20,783 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,281
Followers With Bio
3,719
Followers Without Bio
62.81%
% With Bio
37.19%
% 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 3,147 analyzed3,074,175
Combined Engagement
0
Total Likes
3,074,175
Total Retweets
614,835
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 @m_d_mccoy: George Floyd and I were both arrested for allegedly spending a counterfeit $20 bill. For George Floyd, a man my age, with two kids, it was a death sentence. For me, it is a story I sometimes tell at parties. That, my friends, is White privilege.
RT @JoeBiden: It’s a new day in America.
RT @Lithunium_Snow: Eat the rich https://t.co/JSxdMTTY8h
RT @Kaepernick7: Believe in something, even if it means sacrificing everything. #JustDoIt https://t.co/SRWkMIDdaO
Key Insights & Takeaways
She often shares personal moments and reflections, which resonate with her audience. Her content is emotionally driven and focuses on authenticity. She collaborates with others, indicating a community-oriented approach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 117,381
- + 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 @sarahjeffery reveals an exceptionally influential Twitter presence with 117,381 followers. The account demonstrates a content-creator strategy, averaging 3,579.8 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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