Lauren Koslow
roaming charges may apply... Kate Roberts Actress, Days of Our Lives
73,978
Followers
881
Following
12,164
Tweets
133.7
Avg Engagement
463
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @laurenkoslow'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:2011-03-02
- Verification:No
- Location:On the Farm
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:49.3
- Avg Retweets per Tweet:84.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,190 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. She often engages with fans and colleagues, fostering a sense of community.
49.3
Avg Likes/Tweet
84.4
Avg Retweets/Tweet
157,237
Total Likes
269,293
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
4
Median Retweets
63
75th Percentile
126,188
Top Tweet
1.81
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
57.8%
Original
20.5%
Replies
9.1%
Retweets
12.6%
Quotes
0.0%
Threads
2.6%
With Media
69.4%
With Links
51.8%
With #Tags
64.1%
With @Mentions
28.7%
With Emojis
98
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
1.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.6%
Weekday Posts
22.4%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,190 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 291 retweets (9% 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 3,190 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 acting career and fellow actors. The audience is primarily interested in her personal life, career milestones, and interactions with other celebrities.
Average
Audience Quality
27.5%
Suspicion Index
33.2%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.5%
Empty Bio
28.1%
<10 Tweets
11.0%
Mass Following (>2K)
0.0%
New (<90 days)
61.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
16.9%
<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.
6,799,713
Total Potential Reach
22
Median Follower Reach
85
75th Percentile Reach
3.3%
>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).
46.4%
Creators
4,637 accounts
25.5%
Consumers
2,549 accounts
28.1%
Dormant
2,814 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):
54
Verified Followers
0.54% of total
1,220
Protected Accounts
12.2% of total
6 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 |
|---|---|---|---|
| @MattWallace888 | 1,089,793 | YouTuber | Crypto, Dogecoin, YouTube |
| @HeyTammyBruce | 600,023 | Commentator | Conservative, Media, Commentary |
| @MICHELEMUPO | 352,832 | Influencer | Music, Social Media, Acting |
| @DrJimmyStar | 306,644 | - | - |
| @matthewjdowd | 275,875 | - | - |
| @robtswthrayguns | 257,512 | Inventor | synthwave, NFT, NSFW |
| @KimMangone | 249,832 | Engineer | Single Mom, USAF Vet, Engineer |
| @Kevin10919728 | 222,007 | Influencer | Famous Women |
| @MauriceBenard | 211,521 | Actor | Family, Acting, Advocacy |
| @JoeConchaTV | 200,847 | Columnist | Media, Politics, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,053
Followers With Bio
4,947
Followers Without Bio
50.53%
% With Bio
49.47%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,190 analyzed239,531
Combined Engagement
4,790
Total Likes
234,741
Total Retweets
47,906
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @mtaibbi: 1. Thread: THE TWITTER FILES
RT @DavidBowieReal: January 10 2016 - David Bowie died peacefully today surrounded by his family after a courageous 18 month battle... https://t.co/ENRSiT43Zy
John, thankU for making me laugh EVERY time I saw you( best joke teller ever) ,for always being playful & terrifically creative in our work, inspirational as a friend-what an extraordinary life you lived .I feel lucky & privileged to have known you -Rest In Peace 😘 #JohnA
"Good night, sweet prince..and flights of angels sing thee to thy rest" Forever my honor to share your stage, Joe https://t.co/nNa0HDGJKm
RT @mariecurieuk: A thank you letter to David Bowie from a palliative care doctor. https://t.co/ibFYRY8wc1 - thanks for sharing @DrMarkTaubert
Key Insights & Takeaways
She maintains a professional yet personal brand, balancing career achievements with personal moments. Her content often highlights her relationships with fellow actors and fans. She uses Twitter to express gratitude and celebrate milestones, which strengthens her connection with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 73,978
- + 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 @laurenkoslow reveals an well-established Twitter presence with 73,978 followers. The account demonstrates a content-creator strategy, averaging 133.7 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access