Liz Willis
Conservative Content Creation 🦾 Television host 📺 Sixth gen GA farmer🌲 Proud Auburn Alum 🐯 TPUSA & A1PI Ambassador. MADE IN AMERICA 🇺🇸
90,665
Followers
2,220
Following
16,962
Tweets
2,557.1
Avg Engagement
199
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LizWillis_'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:2011-06-21
- Verification:No
- Location:Atlanta, Ga
Data Summary
- Tweets Analyzed:3,205
- Avg Likes per Tweet:126.5
- Avg Retweets per Tweet:2,430.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,205 tweetsHer tweets receive high engagement, averaging 18,627 likes and 3,326 retweets. This suggests her content resonates strongly with her followers and is often shared widely.
126.5
Avg Likes/Tweet
2,430.6
Avg Retweets/Tweet
405,469
Total Likes
7,789,986
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
12
Median Retweets
344
75th Percentile
356,872
Top Tweet
28.2
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
15.9%
Original
35.7%
Replies
45.6%
Retweets
2.8%
Quotes
0.0%
Threads
0.4%
With Media
41.7%
With Links
8.0%
With #Tags
87.3%
With @Mentions
32.1%
With Emojis
106
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.24
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.2%
Weekday Posts
29.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,205 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 1,463 retweets (46% 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 3,205 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 is primarily politically conservative, interested in news and commentary on American politics. They are likely engaged with topics related to national security, media, and political figures.
Average
Audience Quality
21.7%
Suspicion Index
23.5%
Low-Quality %
140
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.3%
Empty Bio
12.8%
<10 Tweets
28.2%
Mass Following (>2K)
0.0%
New (<90 days)
34.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
7.8%
<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.
15,646,362
Total Potential Reach
140
Median Follower Reach
642
75th Percentile Reach
18.9%
>1K followers
1.2%
>10K followers
0.4%
>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).
71.5%
Creators
7,153 accounts
15.7%
Consumers
1,567 accounts
12.8%
Dormant
1,280 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):
590
Verified Followers
5.9% of total
606
Protected Accounts
6.06% of total
4 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 |
|---|---|---|---|
| @LaraLeaTrump | 1,467,615 | Political Commentator | MAGA, NC, NYC |
| @JDaIey | 1,245,173 | - | - |
| @gatewaypundit | 545,743 | Journalist | Truth, Hope, Fulfillment |
| @BoSnerdley | 526,391 | Radio Host | Conservative, Radio, News |
| @RogerJStoneJr | 438,967 | Political Consultant | Politics, Writing, Trump |
| @codeofvets | 408,707 | - | - |
| @paulsperry_ | 364,504 | Journalist | Investigative journalism, National security, Author |
| @CultOfHollywood | 262,939 | - | - |
| @conquerer1 | 236,170 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @stella_immanuel | 223,176 | Physician | Physician, Author, Speaker |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,066
Followers With Bio
3,934
Followers Without Bio
60.66%
% With Bio
39.34%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,205 analyzed1,284,178
Combined Engagement
0
Total Likes
1,284,178
Total Retweets
256,836
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: the bird is freed
RT @elonmusk: Reinstate former President Trump
RT @elonmusk: The extreme antibody reaction from those who fear free speech says it all
RT @elonmusk: My pronouns are Prosecute/Fauci
Key Insights & Takeaways
She frequently shares breaking news and political updates, which drives engagement. Her content often aligns with her political affiliations and activism. She leverages her platform to promote conservative causes and figures.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,665
- + 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 @LizWillis_ reveals an exceptionally influential Twitter presence with 90,665 followers. The account demonstrates a conversation-first approach, averaging 2,557.1 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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