Madelaine Petsch
world's worst texter
2,135,333
Followers
166
Following
1,933
Tweets
6,321.2
Avg Engagement
951
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @madelainepetsch'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:2014-03-29
- Verification:No
- Location:Los Angeles / Vancouver
Data Summary
- Tweets Analyzed:1,925
- Avg Likes per Tweet:5,628.8
- Avg Retweets per Tweet:692.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,925 tweetsHer tweets receive substantial likes and retweets, indicating strong audience interaction. The high engagement highlights her popularity and influence.
5,628.8
Avg Likes/Tweet
692.4
Avg Retweets/Tweet
10,835,423
Total Likes
1,332,961
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2,457
Median Likes
270
Median Retweets
8,793
75th Percentile
154,650
Top Tweet
2.96
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
63.9%
Original
21.1%
Replies
11.6%
Retweets
3.3%
Quotes
0.0%
Threads
0.7%
With Media
55.5%
With Links
33.0%
With #Tags
47.2%
With @Mentions
46.4%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.6%
Weekday Posts
14.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,925 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 224 retweets (12% 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 1,925 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 fans of her acting roles and followers interested in her personal life. The engagement suggests a loyal and active community.
Average
Audience Quality
34.6%
Suspicion Index
45.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.6%
Empty Bio
56.2%
<10 Tweets
3.4%
Mass Following (>2K)
0.0%
New (<90 days)
73.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.9%
No URL
44.9%
<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.
11,432,810
Total Potential Reach
2
Median Follower Reach
17
75th Percentile Reach
1.4%
>1K followers
0.1%
>10K followers
0.0%
>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).
25.4%
Creators
12,675 accounts
18.4%
Consumers
9,200 accounts
56.2%
Dormant
28,125 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):
101
Verified Followers
0.1% of total
13,133
Protected Accounts
13.13% of total
2 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 |
|---|---|---|---|
| @TeenVogue | 3,278,671 | Fashion Editor | Fashion, Beauty, Empowerment |
| @KlasraRauf | 2,370,495 | Journalist | Politics, Literature, Translation |
| @ZachBoychuk | 830,301 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Balmain | 598,806 | Fashion Designer | Fashion, Luxury, Style |
| @Moschino | 538,643 | Fashion | Fashion, Milan, Luxury |
| @Matt_VanDyke | 505,859 | Founder | veterans, training, supplies |
| @tarastrong | 449,353 | Voice Actress | Animation, Voice Acting, Superheroes |
| @iamprincekash | 410,020 | - | - |
| @theuniq | 383,912 | Media Personality | Discoveries, Stories, Videos |
| @toryburch | 343,207 | Fashion Designer | Fashion, Philanthropy, Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,543
Followers With Bio
44,457
Followers Without Bio
55.54%
% With Bio
44.46%
% 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 1,925 analyzed438,128
Combined Engagement
330,312
Total Likes
107,816
Total Retweets
87,626
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
Still in absolute disbelief, you are so deeply missed Luke. 💔 I feel so lucky to have known you. https://t.co/n1y4v6c4XW
Just 9 weeks until the season 2 premiere of Riverdale 💥 https://t.co/j8Fu5HaD96
my jeans must think I’m dead
SEASON 4 HERE WE COME!!! It’s official baby ❤️@CW_Riverdale
RT @brysontiller: i watched your snapchat story on accident fyi
Key Insights & Takeaways
She often shares emotional and heartfelt messages, which resonate with her audience. Her content includes both personal reflections and promotional material for her projects. She maintains a casual and relatable tone, which helps build a connection with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,135,333
- + 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 @madelainepetsch reveals an exceptionally influential Twitter presence with 2,135,333 followers. The account demonstrates a content-creator strategy, averaging 6,321.2 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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