Liza Weil
professional pretender/real live girl
99,610
Followers
267
Following
1,568
Tweets
144.6
Avg Engagement
418
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @liza_weil'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:2014-07-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,559
- Avg Likes per Tweet:85.4
- Avg Retweets per Tweet:59.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,559 tweetsHer tweets typically receive high engagement, with an average of 2,958 likes and 703 retweets per post, indicating a loyal and active fan base.
85.4
Avg Likes/Tweet
59.2
Avg Retweets/Tweet
133,161
Total Likes
92,229
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
7
Median Retweets
98
75th Percentile
9,038
Top Tweet
1.45
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
29.8%
Original
20.4%
Replies
21.1%
Retweets
28.7%
Quotes
0.0%
Threads
0.6%
With Media
50.5%
With Links
75.2%
With #Tags
51.8%
With @Mentions
16.2%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.68
Reply/Original Ratio
1.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
93.7%
Weekday Posts
6.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,559 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 329 retweets (21% 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 1,559 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 primarily consists of fans of her TV roles and fellow actors, with a significant interest in her personal and professional life.
Good
Audience Quality
19.8%
Suspicion Index
21.9%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.9%
Empty Bio
17.3%
<10 Tweets
10.8%
Mass Following (>2K)
0.0%
New (<90 days)
46.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.7%
No URL
11.0%
<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.
19,285,511
Total Potential Reach
52
Median Follower Reach
217
75th Percentile Reach
6.3%
>1K followers
0.4%
>10K followers
0.1%
>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).
66.2%
Creators
6,615 accounts
16.6%
Consumers
1,656 accounts
17.3%
Dormant
1,729 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):
27
Verified Followers
0.27% of total
2,092
Protected Accounts
20.92% 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 | 14,093,181 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RexChapman | 1,253,845 | Commentator | Basketball, Horse racing, Commentary |
| @seamusdever | 184,382 | Actor | Levity, Brevity, Irony |
| @TomJChicago | 172,323 | Analyst | Tech, finance, geopolitics |
| @JohnnyBerchtold | 137,905 | Actor | Scary stuff, acting |
| @TristanMaxted | 112,130 | Singer | pandas, music, Instagram |
| @marvels911s | 75,216 | - | - |
| @KDAgreda | 69,360 | Advocate | Gender advocacy, Faculty association, Reader & Binge-watcher |
| @janellyfarias | 45,349 | - | - |
| @jooja_i | 42,581 | Influencer | Positivity, Life, Love |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,715
Followers With Bio
3,285
Followers Without Bio
67.15%
% With Bio
32.85%
% 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 1,559 analyzed32,757
Combined Engagement
13,478
Total Likes
19,279
Total Retweets
6,551
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @HowToGetAwayABC: There's crazy, then there is #HTGAWM. Season 3 premieres tonight at 10|9c! https://t.co/JPcey4aLCR
And so it begins. Again. #GilmoreGirls https://t.co/fIoFpt0pae
RT @violadavis: Mark your calendars! #HTGAWM returns on Thursday, Sept 22nd at 10PM! #TGIT #85Days #AnnaliseKeating #Keating5 https://t.co/Hwc0dIRtdF
I love you Wes Gibbons. I love you Alfred Enoch. ❤️ #HTGAWM
To all the #HTGAWM fans: THANK YOU. Overwhelmed by these beautiful tributes today. Very excited to watch with you ONE LAST TIME. ❤️❤️❤️❤️❤️❤️
Key Insights & Takeaways
She frequently interacts with her fans through heartfelt messages and gratitude. She often references her TV roles and fanbases, showing a deep connection with her audience. Her verified status is low, suggesting she maintains a personal and authentic online presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 99,610
- + 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 @liza_weil reveals an well-established Twitter presence with 99,610 followers. The account demonstrates a content-creator strategy, averaging 144.6 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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