Quinn Ewers
Official Quinn Ewers Gear here 👉🏼 https://www.qewers3.com/ @TexasFootball QB [email protected]
55,660
Followers
441
Following
631
Tweets
492.0
Avg Engagement
135
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @QuinnEwers'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:2017-05-07
- Verification:No
- Location:Austin, TX
Data Summary
- Tweets Analyzed:615
- Avg Likes per Tweet:387.6
- Avg Retweets per Tweet:104.4
- Followers Analyzed:9,998
Engagement Analysis
Based on 615 tweetsEwers' tweets consistently receive high engagement, with an average of 12,320 likes and 1,324 retweets per post. His use of humor and music helps drive interaction and shares.
387.6
Avg Likes/Tweet
104.4
Avg Retweets/Tweet
238,370
Total Likes
64,216
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
22
Median Retweets
200
75th Percentile
31,939
Top Tweet
8.84
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
12.8%
Original
4.6%
Replies
66.0%
Retweets
16.6%
Quotes
0.0%
Threads
1.0%
With Media
90.2%
With Links
29.9%
With #Tags
77.7%
With @Mentions
29.9%
With Emojis
127
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 615 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 406 retweets (66% 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 615 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 9,998 followersHis audience primarily consists of Texas football fans and sports enthusiasts who appreciate his authenticity and engagement. The content also attracts followers interested in his personal journey and achievements.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
63
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)
87.7%
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.
19,920,973
Total Potential Reach
63
Median Follower Reach
217
75th Percentile Reach
4.2%
>1K followers
0.6%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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
1,166
Protected Accounts
11.66% of total
6 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 | 14,094,167 | Wrestler | Wrestling, Motivation, Self-promotion |
| @dustinrhodes | 785,392 | Wrestler | Wrestling, Instagram, Management |
| @thecheckdown | 466,047 | Sports Media | Football, Sports, Highlights |
| @robbystarbuck | 350,128 | Director/Producer | Politics, Filmmaking, Family |
| @schadjoe | 234,928 | Sports Journalist | Miami Dolphins, Journalist, Sports |
| @kksheld | 146,629 | Physician | Limited Government, No Socialized Medicine, Texan |
| @TracesofTexas | 123,877 | Historian | Texas history, Cowboy boots, Lone Star |
| @DavidCastain | 105,267 | Academic | Forbes, Ph.D. Candidate, Kappa Alpha Psi |
| @kennyvaccaro | 95,201 | Entrepreneur | Gaming, Creative, eSports |
| @johnbrenkus_ | 87,754 | Sports Scientist | ESPN, BrinxTV, NIL Collectives |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,835
Followers With Bio
4,165
Followers Without Bio
58.35%
% With Bio
41.65%
% 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 615 analyzed111,668
Combined Engagement
100,270
Total Likes
11,398
Total Retweets
22,334
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
How’d I get towed during the game🤣
Hey Alexa play “Take Me to Texas” by @GeorgeStrait #HookEm 🤘 https://t.co/OX8B08XtV8
COMMITTED!! #Godsplan https://t.co/7bLQrU8hAz
God is so good man! https://t.co/jrVMfVrlPN
https://t.co/h90YtDa15K
Key Insights & Takeaways
He uses humor and relatable moments to connect with his audience Music and sports are central themes in his content He shares personal and motivational messages to build a loyal following
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 55,660
- + 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 @QuinnEwers reveals an well-established Twitter presence with 55,660 followers. The account demonstrates a content-creator strategy, averaging 492.0 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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