Sarah Shahi
i'm that chick
223.415
Followers
225
Following
9.458
Tweets
348,1
Avg Engagement
1.986
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sarahshahi'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:2009-11-25
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3.170
- Avg Likes per Tweet:168,6
- Avg Retweets per Tweet:179,5
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.170 tweetsHer tweets receive a high number of likes and retweets, indicating a highly engaged audience that appreciates her content and interactions.
168,6
Avg Likes/Tweet
179,5
Avg Retweets/Tweet
534.391
Total Likes
569.108
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
66
Median Likes
13
Median Retweets
271
75th Percentile
86.549
Top Tweet
1,56
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
42,0%
Original
14,6%
Replies
18,2%
Retweets
25,2%
Quotes
0,0%
Threads
0,3%
With Media
60,2%
With Links
44,7%
With #Tags
49,5%
With @Mentions
17,0%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,35
Reply/Original Ratio
1,39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85,9%
Weekday Posts
14,1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.170 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 576 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 3.170 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 followers include fans of her work and other celebrities, as well as general Twitter users interested in entertainment and personal stories.
Average
Audience Quality
25,3%
Suspicion Index
28,5%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41,6%
Empty Bio
23,4%
<10 Tweets
14,7%
Mass Following (>2K)
0,0%
New (<90 days)
56,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
89,1%
No URL
15,5%
<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.
85.974.957
Total Potential Reach
35
Median Follower Reach
153
75th Percentile Reach
5,0%
>1K followers
0,7%
>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).
56,9%
Creators
28.468 accounts
19,6%
Consumers
9.816 accounts
23,4%
Dormant
11.716 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):
348
Verified Followers
0.34% of total
15.787
Protected Accounts
15.63% 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 |
|---|---|---|---|
| @netflix | 21.772.967 | Entertainment | Cardi B, Netflix, Petition |
| @JohnCena | 14.100.246 | Wrestler | Wrestling, Motivation, Self-promotion |
| @miakhalifa | 5.439.711 | Former Adult Actress | immigrant, شيطان, 🪧 |
| @IMDb | 4.593.572 | Entertainment | movies, TV, celebrities |
| @NathanFillion | 3.203.817 | Actor | Kindness, Silence, Acting |
| @6BillionPeople | 2.034.369 | - | - |
| @etnow | 1.944.487 | Entertainment | Entertainment, ET, News |
| @jasonsegel | 1.930.986 | - | - |
| @soledadobrien | 1.317.830 | Journalist | working, mom, journalist |
| @PankajAdvani247 | 1.035.850 | Billiards Player | Billiards, Snooker, Indian |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57.343
Followers With Bio
43.645
Followers Without Bio
56.78%
% With Bio
43.22%
% 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 3.170 analyzed268.121
Combined Engagement
0
Total Likes
268.121
Total Retweets
53.624
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @ABC: Witnesses say this man pulled over to save a wild rabbit from flames along Highway 1 in Southern California as the massive #Thomas…
RT @LVMPD: For families looking to locate missing loved ones, please call 1-866-535-5654.
RT @UberFacts: "FaceApp" which has recently gone viral for its age filter, now owns access to more than 150 million people's faces and name…
RT @shondarhimes: Okay. Entertainment industry, time to stop using the phrases "Smart Strong Women" and "Strong Female Leads". There are…
RT @Sethrogen: The people have spoken! Freedom has prevailed! Sony didn't give up! The Interview will be shown at theaters willing to play …
Key Insights & Takeaways
She frequently interacts with other celebrities and fans, building a sense of community. Her content often includes personal anecdotes and event mentions, which resonate well with her audience. She uses hashtags effectively to highlight key themes and engage in broader conversations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 223.415
- + 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 @sarahshahi reveals an well-established Twitter presence with 223.415 followers. The account demonstrates a content-creator strategy, averaging 348,1 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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