13,443
Followers
1,101
Following
1,308
Tweets
848.4
Avg Engagement
110
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @josh_myers71'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:2014-09-21
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,258
- Avg Likes per Tweet:16.3
- Avg Retweets per Tweet:832.1
- Followers Analyzed:13,668
Engagement Analysis
Based on 1,258 tweetsHis tweets receive consistent likes and retweets, indicating a loyal and engaged audience interested in his personal and musical journey.
16.3
Avg Likes/Tweet
832.1
Avg Retweets/Tweet
20,498
Total Likes
1,046,790
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
12
75th Percentile
682,701
Top Tweet
63.11
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
30.7%
Original
40.9%
Replies
27.2%
Retweets
1.2%
Quotes
0.0%
Threads
0.3%
With Media
27.2%
With Links
10.6%
With #Tags
86.7%
With @Mentions
33.6%
With Emojis
58
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.33
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.0%
Weekday Posts
35.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,258 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 342 retweets (27% 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 1,258 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 13,668 followersHis followers likely include fellow OSU alumni and music enthusiasts, particularly fans of Luke Combs and country music.
Good
Audience Quality
17.6%
Suspicion Index
20.7%
Low-Quality %
119
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.9%
Empty Bio
9.8%
<10 Tweets
14.5%
Mass Following (>2K)
0.0%
New (<90 days)
37.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.4%
No URL
5.5%
<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.
43,221,355
Total Potential Reach
119
Median Follower Reach
351
75th Percentile Reach
8.3%
>1K followers
1.7%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
75.7%
Creators
10,345 accounts
14.5%
Consumers
1,986 accounts
9.8%
Dormant
1,337 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):
158
Verified Followers
1.16% of total
1,810
Protected Accounts
13.24% of total
9 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 | 14,106,724 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,292 | - | - |
| @packers | 2,595,636 | Sports Team | Football, Super Bowl, Champions |
| @6BillionPeople | 2,038,886 | - | - |
| @CoachUrbanMeyer | 1,884,537 | Football Coach | Football, Championships, Teams |
| @JoeyB | 960,106 | Quarterback | Quarterback, SmashBros |
| @OhioStateFB | 653,221 | Football | Football, Ohio State, Championships |
| @CoachSchuman | 589,457 | Football Coach | Football, Recruiting, Motivation |
| @Buckeyes | 531,586 | Sports News | Ohio State, Buckeyes Football, News & Updates |
| @CFBONFOX | 453,556 | Sports Media | College Football, FOX Sports, App |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,766
Followers With Bio
4,902
Followers Without Bio
64.14%
% With Bio
35.86%
% 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 1,258 analyzed862,658
Combined Engagement
0
Total Likes
862,658
Total Retweets
172,532
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @AHMalcolm: For every retweet this gets, Pedigree will donate one bowl of dog food to dogs in need! 😊 #tweetforbowls http://t.co/z4rmc2HsGT
RT @jonellesamai: During school breaks child abuse rates significantly increase. A lot of children are left home with predatory relatives or incompetent parents. Throw an extra eye and ear out for any children in your neighborhood. Also a lot of children are gonna
RT @AmericanIdol: Excuse us while we mop our tears off the floor. Incredible. #IdolPremiere https://t.co/D7dLZpQKyE
RT @SportsCenter: "Craig Sager, a low-volume pro in the loud clothes." Condolences to the Sager family and our friends at Turner Sports. #SagerStrong https://t.co/GQj1Rk5KSw
RT @SportsCenter: Dee Gordon tried to explain his lead-off HR last night, his 1st of the season. https://t.co/nianjCebmF
Key Insights & Takeaways
He values gratitude and community support His content is heavily focused on music and personal milestones He maintains a consistent and authentic tone in his tweets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 13,443
- + High community engagement through conversations
- + 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 @josh_myers71 reveals an well-established Twitter presence with 13,443 followers. The account demonstrates a conversation-first approach, averaging 848.4 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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