Amanda Cerny
Nothin but brain farts💭
1,300,260
Followers
8,895
Following
3,815
Tweets
745.1
Avg Engagement
1,533
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AmandaCerny'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: Mega Influencer (1M+)
- Account Age:2010-01-14
- Verification:No
- Location:Florida, USA
Data Summary
- Tweets Analyzed:2,721
- Avg Likes per Tweet:593.6
- Avg Retweets per Tweet:151.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,721 tweetsAmanda's tweets consistently receive high engagement, with an average of 59,716 likes and 9,394 retweets per post. This indicates strong audience interaction and interest in her content.
593.6
Avg Likes/Tweet
151.5
Avg Retweets/Tweet
1,615,271
Total Likes
412,182
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
14
75th Percentile
140,022
Top Tweet
0.57
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
11.3%
Original
0.6%
Replies
86.8%
Retweets
1.3%
Quotes
0.0%
Threads
1.4%
With Media
52.2%
With Links
34.1%
With #Tags
88.2%
With @Mentions
25.7%
With Emojis
101
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.0%
Weekday Posts
25.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,721 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 2,363 retweets (87% 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 2,721 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 followersHer audience includes a wide range of people interested in casual, humorous, and educational content. They are likely engaged with topics like agriculture, daily life, and social issues.
Below Average
Audience Quality
38.6%
Suspicion Index
57.6%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.7%
Empty Bio
59.5%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
69.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
46.4%
<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.
12,415,647
Total Potential Reach
16
Median Follower Reach
43
75th Percentile Reach
1.0%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
20.6%
Creators
10,292 accounts
19.9%
Consumers
9,952 accounts
59.5%
Dormant
29,756 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):
202
Verified Followers
0.2% of total
16,436
Protected Accounts
16.27% of total
3 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 |
|---|---|---|---|
| @GuruOfficial | 1,176,161 | - | - |
| @Sinefabrika | 878,265 | Film Critic | films, series, music |
| @emma_brunette95 | 623,629 | Scammer | Friends, Chat, Socializing |
| @carmenelectra | 511,996 | Model | chat, link, bio |
| @lafresababy | 510,150 | - | - |
| @FabriLemus7 | 492,259 | Crypto Influencer | Crypto, Content Creation, Investing |
| @Moreno | 430,195 | Influencer | Business, Manager, Serious |
| @jay_55k | 393,647 | - | - |
| @isabella_wet | 384,515 | Streamer | Gaming, Streaming, Content Creation |
| @theuniq | 383,891 | Media Personality | Discoveries, Stories, Videos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,932
Followers With Bio
67,067
Followers Without Bio
33.6%
% With Bio
66.4%
% 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 2,721 analyzed491,774
Combined Engagement
425,832
Total Likes
65,942
Total Retweets
98,355
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
I think your tractor is sexy 🚜🌾
If you ate today, thank a farmer 💚 #NoFarmersNoFood https://t.co/ySpKPTY01W
Art🎨 https://t.co/F6nkCJaSDm
To all of my influencer/celeb friends- read up on this #FarmersProtest 👀
#humanrights #FarmersProtest https://t.co/AbFzVxKrIS
Key Insights & Takeaways
Her content is casual and relatable, making it easy for followers to connect. She often uses humor to highlight everyday situations and social issues. Her tweets frequently include visual elements like images and hashtags to enhance engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,300,260
- + 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 @AmandaCerny reveals an well-established Twitter presence with 1,300,260 followers. The account demonstrates a content-creator strategy, averaging 745.1 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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