606,845
Followers
402
Following
768
Tweets
7,612.9
Avg Engagement
999
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JoshAllenQB'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:2010-10-03
- Verification:No
- Location:7220
Data Summary
- Tweets Analyzed:507
- Avg Likes per Tweet:5,659.7
- Avg Retweets per Tweet:1,953.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 507 tweetsHis tweets receive high levels of likes and retweets, indicating strong audience interaction. The content is relatable and resonates with his followers.
5,659.7
Avg Likes/Tweet
1,953.2
Avg Retweets/Tweet
2,869,474
Total Likes
990,257
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
159
Median Retweets
2,099
75th Percentile
1,026,779
Top Tweet
12.55
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
14.0%
Original
10.3%
Replies
68.8%
Retweets
6.9%
Quotes
0.0%
Threads
0.2%
With Media
57.6%
With Links
33.7%
With #Tags
88.6%
With @Mentions
29.2%
With Emojis
100
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.73
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 507 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 349 retweets (69% 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 507 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 followersHis followers are likely fans of the Buffalo Bills and football enthusiasts. The audience seems to value authenticity and emotional connection.
Average
Audience Quality
31.7%
Suspicion Index
47.3%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.5%
Empty Bio
46.0%
<10 Tweets
4.0%
Mass Following (>2K)
0.0%
New (<90 days)
62.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
34.0%
<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.
17,639,188
Total Potential Reach
9
Median Follower Reach
51
75th Percentile Reach
2.0%
>1K followers
0.2%
>10K followers
0.1%
>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).
33.1%
Creators
16,532 accounts
21.0%
Consumers
10,490 accounts
46.0%
Dormant
22,978 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):
871
Verified Followers
0.86% of total
11,028
Protected Accounts
10.92% of total
5 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 |
|---|---|---|---|
| @EASPORTS | 2,245,118 | Gaming | sports, gaming, entertainment |
| @kimguilfoyle | 2,076,835 | Political Commentator | Mother, Patriot, Proud American |
| @LeBronJames | 1,005,357 | - | - |
| @MattWallace888 | 956,446 | YouTuber | Crypto, Dogecoin, YouTube |
| @TheRealOJ32 | 886,658 | Former Athlete | Football, Legal System, Social Media |
| @cpulisic_10 | 850,109 | - | - |
| @HamlinIsland | 826,917 | - | - |
| @RealDeanCain | 727,750 | Actor | Father, Filmmaker, Freedom |
| @DiegoSpotorno | 699,092 | Activista | Activism, Music, Cannabis |
| @TitusONeilWWE | 620,987 | Wrestler | WWE, Fatherhood, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,033
Followers With Bio
56,966
Followers Without Bio
43.6%
% With Bio
56.4%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 507 analyzed2,019,242
Combined Engagement
1,837,100
Total Likes
182,142
Total Retweets
403,848
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Please pray for our brother.
Pain.
Ya Digg?
@SportsCenter No.
Assistant favorite Qb, or assistant to your favorite Qb? https://t.co/LCl34Emxum
Key Insights & Takeaways
His tweets often focus on personal struggles and emotional support He uses simple, impactful language to connect with fans His content reflects a deep sense of community and loyalty
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 606,845
- + 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 @JoshAllenQB reveals an exceptionally influential Twitter presence with 606,845 followers. The account demonstrates a content-creator strategy, averaging 7,612.9 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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