payton
tired
477,874
Followers
43
Following
569
Tweets
2,985.7
Avg Engagement
247
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PaytonMoormeier'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: Macro Influencer (100K+)
- Account Age:2017-08-27
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:506
- Avg Likes per Tweet:2,920.4
- Avg Retweets per Tweet:65.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 506 tweetsPayton's tweets consistently receive high engagement, with an average of 12,903 likes and 399 retweets per post. This suggests a strong and active community around their content.
2,920.4
Avg Likes/Tweet
65.3
Avg Retweets/Tweet
1,477,719
Total Likes
33,040
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,864
Median Likes
45
Median Retweets
3,901
75th Percentile
17,348
Top Tweet
6.25
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.9%
Original
2.8%
Replies
2.8%
Retweets
21.5%
Quotes
0.0%
Threads
0.4%
With Media
39.7%
With Links
3.2%
With #Tags
6.1%
With @Mentions
3.6%
With Emojis
53
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
7.79
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.9%
Weekday Posts
23.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 506 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 14 retweets (3% 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 506 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 casual, humorous, and relatable content. They are likely interested in pop culture and personal stories.
Below Average
Audience Quality
36.9%
Suspicion Index
47.5%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.5%
Empty Bio
64.8%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
78.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.8%
No URL
51.6%
<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.
6,037,450
Total Potential Reach
1
Median Follower Reach
8
75th Percentile Reach
0.8%
>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).
17.4%
Creators
8,725 accounts
17.8%
Consumers
8,885 accounts
64.8%
Dormant
32,390 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):
51
Verified Followers
0.05% of total
12,216
Protected Accounts
12.1% 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 |
|---|---|---|---|
| @ImNotScottySire | 1,660,026 | Influencer | comedy, humor, fun |
| @MilesSTEREOS | 861,550 | Musician | Guitarist, Writer, Producer |
| @EmblemThree | 675,494 | Musician | Music, Band, Business |
| @zammit_marc | 387,862 | Filmmaker | Film, Acting, Producing |
| @Brandonwoelfel | 366,822 | Photographer | Photography, Digital Art, Instagram |
| @TikoFn | 283,457 | YouTuber | YouTube, videos, fishing |
| @conquerer1 | 237,635 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @BoyEpic | 106,471 | Musician | music, art, NoGoodKids |
| @Visiongeo | 89,533 | Philanthropist | NGO funding, Philanthropy, Travel |
| @Amwysoc | 88,715 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,150
Followers With Bio
42,849
Followers Without Bio
57.57%
% With Bio
42.43%
% 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 506 analyzed70,395
Combined Engagement
69,444
Total Likes
951
Total Retweets
14,079
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
my girlfriend is adorable
but i’m dead
GUESS WHOS BACK
happy new year. :)
i miss her
Key Insights & Takeaways
The content is casual and relatable, often blending humor with personal moments. The audience seems to appreciate authenticity and light-hearted humor. There is a focus on personal experiences and relationships, which drives engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 477,874
- + 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 @PaytonMoormeier reveals an exceptionally influential Twitter presence with 477,874 followers. The account demonstrates a content-creator strategy, averaging 2,985.7 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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