52,480
Followers
659
Following
2,821
Tweets
2,037.0
Avg Engagement
347
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @epaschall'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:2010-10-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,692
- Avg Likes per Tweet:450.7
- Avg Retweets per Tweet:1,586.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,692 tweetsTheir tweets receive high engagement, with an average of 29,638 likes and 2,910 retweets per post, indicating a highly interactive and interested audience.
450.7
Avg Likes/Tweet
1,586.3
Avg Retweets/Tweet
1,213,199
Total Likes
4,270,300
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
4
Median Retweets
253
75th Percentile
1,929,357
Top Tweet
38.81
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
32.4%
Original
17.2%
Replies
31.7%
Retweets
18.7%
Quotes
0.0%
Threads
0.1%
With Media
40.0%
With Links
10.5%
With #Tags
60.0%
With @Mentions
20.7%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,692 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 853 retweets (32% 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 2,692 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 followersThe audience appears to be young adults who enjoy humor, sports, and casual conversations. They are likely interested in trending topics and memes.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
100.0%
<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.
14,712,011
Total Potential Reach
21
Median Follower Reach
104
75th Percentile Reach
4.0%
>1K followers
0.7%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,024
Protected Accounts
10.24% 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 |
|---|---|---|---|
| @wojespn | 6,094,890 | Sports Journalist | NBA, Insider, Podcasting |
| @Timberwolves | 1,248,232 | Sports Team | Basketball, Minnesota, Sports |
| @TheRealJRSmith | 761,379 | Gamer | Twitch, SwishGaming, #NCAT |
| @rudygobert27 | 606,707 | Basketball Player | Basketball, Defense, Health |
| @JordanClarksons | 526,480 | Basketball Player | Basketball, Fashion, Music |
| @Luminosity | 480,093 | Esports Team | Esports, Gaming, Energy Drinks |
| @Moreno | 429,469 | Influencer | Business, Manager, Serious |
| @conquerer1 | 235,193 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @JohnKruk | 209,518 | Baseball Analyst | Baseball, Softball, West Virginia |
| @WESTSIDEGUNN | 188,592 | Rapper | Fashion, Music, Street Culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,968
Followers With Bio
4,032
Followers Without Bio
59.68%
% With Bio
40.32%
% 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 2,692 analyzed2,674,075
Combined Engagement
0
Total Likes
2,674,075
Total Retweets
534,815
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @MatthewACherry: Chadwick was really out here shooting all of these huge action movies while fighting stage 4 colon cancer. Man. Strong isn’t even the word.
RT @Itsche__: This is one of them most important and powerful pictures you will see this year https://t.co/Kq06eXCztl
RT @jhenessisss: Saw this on Facebook I thought I should share it here. https://t.co/dYgWjUb4j7
RT @ArlanWasHere: Jacob Blake’s sister *did* that. https://t.co/TpEEWOI073
Key Insights & Takeaways
They use humor and relatability to connect with their audience. They often reference popular culture and sports figures. Their content is casual and energetic, encouraging interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,480
- + 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 @epaschall reveals an exceptionally influential Twitter presence with 52,480 followers. The account demonstrates a content-creator strategy, averaging 2,037.0 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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