Lauren Tom
#InteriorChinatown #supernatural (Mrs.Tran) #GhostofTsushima (Lady Masako) #friends (Julie) #Futurama (Amy) #Goliath #andimack #theJoyLuckClub #KingoftheHill
74,979
Followers
712
Following
5,032
Tweets
523.0
Avg Engagement
618
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LaurenTom9000'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:2012-08-10
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:86.3
- Avg Retweets per Tweet:436.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,192 tweetsHer tweets typically receive high engagement, with an average of 4,907 likes and 897 retweets. This indicates a loyal and active fan base.
86.3
Avg Likes/Tweet
436.7
Avg Retweets/Tweet
275,545
Total Likes
1,393,992
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
3
Median Retweets
104
75th Percentile
202,735
Top Tweet
6.98
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
33.6%
Original
50.4%
Replies
8.2%
Retweets
7.8%
Quotes
0.0%
Threads
3.9%
With Media
41.7%
With Links
40.0%
With #Tags
82.3%
With @Mentions
17.4%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.5
Reply/Original Ratio
0.96
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 261 retweets (8% 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 3,192 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 includes fans of her TV roles and fellow actors. They engage with her content through likes and retweets, showing strong support.
Average
Audience Quality
20.6%
Suspicion Index
15.1%
Low-Quality %
91
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.2%
Empty Bio
11.0%
<10 Tweets
23.4%
Mass Following (>2K)
0.0%
New (<90 days)
48.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.8%
No URL
6.9%
<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.
45,944,961
Total Potential Reach
91
Median Follower Reach
306
75th Percentile Reach
8.5%
>1K followers
1.7%
>10K followers
0.7%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
77.2%
Creators
7,725 accounts
11.7%
Consumers
1,172 accounts
11.0%
Dormant
1,103 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):
97
Verified Followers
0.97% of total
944
Protected Accounts
9.44% of total
7 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 | 14,097,285 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KarlJacobs_ | 4,771,744 | Content Creator | Comedy, Content Creation, Business |
| @jarpad | 2,905,045 | Actor | acting, family, charity |
| @AndrewYang | 1,687,726 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @SinghLions | 1,328,855 | Restaurateur | Food, Travel, Influencer |
| @mmpadellan | 1,232,958 | Political Commentator | #BlueWave2022, #Feminist, #TheResistance |
| @SimuLiu | 1,078,474 | Actor | Actor, Immigrant, Ambassador |
| @kenjeong | 1,004,365 | Comedian | Fart jokes, science, public health |
| @donwinslow | 933,065 | Author | books, writing, reading |
| @PauleyP | 691,472 | Actress | RescuePets, Jesus, BLM |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,680
Followers With Bio
2,320
Followers Without Bio
76.8%
% With Bio
23.2%
% 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 3,192 analyzed681,493
Combined Engagement
0
Total Likes
681,493
Total Retweets
136,299
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @curtisisbooger: My father died of Covid alone in a hospital. I had to say goodbye to him over a phone. Trump got a joyride to sooth his desperate need for attention, while endangering the lives of the Secret Service people in the car with him. To hell with him and all who ena
RT @DrewFrogger: I don’t use this verbiage often but this is a whole vibe. simple as that https://t.co/NfdLsgLkxu
RT @ArlanWasHere: Jacob Blake’s sister *did* that. https://t.co/TpEEWOI073
RT @lisafleisher: Things always seem terrible around here, but yesterday my daughter saw her first waterfall and I got to watch her face. https://t.co/Yn9MAd9hG2
RT @NYGovCuomo: Certified young person Paul Rudd wants you to wear a mask. Listen up: https://t.co/GTks5NUBmR
Key Insights & Takeaways
She frequently interacts with fans and fellow actors, building a sense of community. Her content often highlights her roles in popular TV shows, which drives engagement. She uses hashtags effectively to promote her work and connect with fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,979
- + High community engagement through conversations
- + 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 @LaurenTom9000 reveals an well-established Twitter presence with 74,979 followers. The account demonstrates a conversation-first approach, averaging 523.0 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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