April Clark
brand ambassador for @ConagraBrands
68,403
Followers
910
Following
45,144
Tweets
631.0
Avg Engagement
107
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @autogynefiles'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:2016-12-15
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:544.4
- Avg Retweets per Tweet:86.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,227 tweetsThe account consistently receives high engagement, indicating a loyal and active follower base. Their tweets often spark conversations and reactions, especially around humor and personal experiences.
544.4
Avg Likes/Tweet
86.6
Avg Retweets/Tweet
1,756,828
Total Likes
279,372
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
55
Median Likes
3
Median Retweets
249
75th Percentile
76,707
Top Tweet
9.22
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
47.1%
Original
31.2%
Replies
17.3%
Retweets
4.4%
Quotes
0.0%
Threads
0.3%
With Media
17.1%
With Links
0.9%
With #Tags
43.4%
With @Mentions
5.8%
With Emojis
73
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 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 557 retweets (17% 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 3,227 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 appears to be young adults and teenagers who enjoy humor, relatable content, and social commentary. They are likely interested in pop culture, humor, and lifestyle topics.
Good
Audience Quality
15.5%
Suspicion Index
16.6%
Low-Quality %
82
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.8%
Empty Bio
10.2%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
37.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.1%
No URL
6.4%
<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.
85,997,918
Total Potential Reach
82
Median Follower Reach
247
75th Percentile Reach
6.6%
>1K followers
1.3%
>10K followers
0.3%
>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).
77.3%
Creators
38,671 accounts
12.4%
Consumers
6,221 accounts
10.2%
Dormant
5,108 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):
329
Verified Followers
0.49% of total
13,871
Protected Accounts
20.84% 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 | 14,106,733 | Wrestler | Wrestling, Motivation, Self-promotion |
| @funnyordie | 12,915,367 | Comedy | Comedy, Entertainment, Humor |
| @verified | 4,201,257 | - | - |
| @dril | 1,760,648 | Comedian | Game dev, Book, Hiatus |
| @SinghLions | 1,336,527 | Restaurateur | Food, Travel, Influencer |
| @tweetsauce | 1,320,615 | Educator | Science, Education, Curiosity |
| @PFTompkins | 1,225,405 | Comedian | TV, standup, improv |
| @egoraptor | 1,071,709 | Content Creator | Video games, Comedy, Music |
| @meganamram | 1,067,543 | Comedian | weird, sexual, anti-comedy |
| @AndyRichter | 1,063,839 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,091
Followers With Bio
16,469
Followers Without Bio
75.26%
% With Bio
24.74%
% 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 3,227 analyzed317,049
Combined Engagement
296,586
Total Likes
20,463
Total Retweets
63,410
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
therapist: and is this “dark wizard” in the room with us right now? me: me: …no therapist: {transforming into the dark wizard} I wouldn’t be so sure, fool! 🧙♂️
Best part of thanksgiving is the “walk” with your cousins before dinner 🥰 the only day of the year i KNOW i’m getting laid
Hate crime? I sure do! Also gay people
(TSA guy) dicks must come OUT of the pants, people, out of the pants, don’t make me say it again! Dicks come OUT of the pants,
Hi sharks. Today I’m asking for a hundred million dollars in exchange for (opening my jacket to reveal a bomb strapped to my chest) all of our lives and futures
Key Insights & Takeaways
The user frequently shares personal and humorous stories that resonate with their audience. They often engage in light-hearted and sometimes controversial conversations. Their content reflects a mix of humor, self-awareness, and social commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 68,403
- + 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 @autogynefiles reveals an well-established Twitter presence with 68,403 followers. The account demonstrates a content-creator strategy, averaging 631.0 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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