L.A. Weekly
L.A. culture since 1978
705,138
Followers
1,768
Following
61,732
Tweets
114.9
Avg Engagement
4,453
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LAWeekly'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:2008-11-28
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:5.2
- Avg Retweets per Tweet:109.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsOn average, tweets receive 342 likes and 69 retweets, indicating moderate to high engagement. The account often shares links to streaming content and public figures, which drives interaction.
5.2
Avg Likes/Tweet
109.7
Avg Retweets/Tweet
16,762
Total Likes
355,071
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
9
75th Percentile
93,152
Top Tweet
0.16
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
36.0%
Original
1.6%
Replies
60.6%
Retweets
1.8%
Quotes
0.0%
Threads
2.5%
With Media
57.2%
With Links
23.1%
With #Tags
76.5%
With @Mentions
6.9%
With Emojis
135
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.2%
Weekday Posts
16.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 1,963 retweets (61% 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 3,237 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 followersThe audience is primarily interested in Los Angeles culture, entertainment, and local news. They are likely fans of TV shows, movies, and public figures from the region.
Below Average
Audience Quality
36.0%
Suspicion Index
49.1%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.1%
Empty Bio
55.0%
<10 Tweets
9.4%
Mass Following (>2K)
0.0%
New (<90 days)
71.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.4%
No URL
46.1%
<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.
59,646,240
Total Potential Reach
3
Median Follower Reach
53
75th Percentile Reach
4.5%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
29.9%
Creators
14,928 accounts
15.1%
Consumers
7,554 accounts
55.0%
Dormant
27,518 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):
1,002
Verified Followers
0.99% of total
9,223
Protected Accounts
9.13% of total
5 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 | 14,105,197 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jessicaalba | 8,497,435 | Actress | Mom, Founder, Chef |
| @GordonRamsay | 7,699,165 | Chef | Cooking, Food, Restaurants |
| @robkardashian | 7,102,557 | Celebrity | Family, Fitness, Fashion |
| @rclbeauty101 | 3,251,566 | YouTuber | beauty, youtuber, video |
| @benlandis | 2,850,928 | - | - |
| @kalnaga | 2,772,530 | Actor | Satellites, NFT, Blockchain |
| @KameronBennett | 1,811,808 | DJ | Music, DJing, Booking |
| @Elif_Safak | 1,652,707 | Author | Storytelling, Feminism, Human Rights |
| @KendraLust | 1,525,384 | Podcaster | sports, sunny days, fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,548
Followers With Bio
58,448
Followers Without Bio
42.13%
% With Bio
57.87%
% 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 3,237 analyzed281,059
Combined Engagement
0
Total Likes
281,059
Total Retweets
56,212
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @FollowWestwood: 29th December 2022. Vivienne Westwood died today, peacefully and surrounded by her family, in Clapham, South London.…
RT @britneyspears: Good God I love my fans so much it’s crazy 🥺❤️ !!! I think I’m gonna cry the rest of the day !!!! Best day ever … praise…
RT @Facebook: We’re aware that some people are having trouble accessing our apps and products. We’re working to get things back to normal a…
RT @Dodgers: https://t.co/FloR9dBhZj
RT @TwitterSupport: We are aware of a security incident impacting accounts on Twitter. We are investigating and taking steps to fix it. We…
Key Insights & Takeaways
The account frequently promotes streaming content and TV shows, suggesting a focus on entertainment and media. It highlights local talent and public figures, reinforcing its connection to Los Angeles culture. The use of hashtags and links indicates an effort to drive traffic and engagement through curated content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 705,138
- + 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 @LAWeekly reveals an well-established Twitter presence with 705,138 followers. The account demonstrates a content-creator strategy, averaging 114.9 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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