Glory to God.
kaizen
14,078
Followers
653
Following
6,861
Tweets
1,984.3
Avg Engagement
54
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JoshDowns'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:2016-01-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:587
- Avg Likes per Tweet:37.4
- Avg Retweets per Tweet:1,946.9
- Followers Analyzed:7,944
Engagement Analysis
Based on 587 tweetsJoshDowns maintains a steady level of engagement with their followers, indicating a loyal and active audience. Their tweets often receive a high number of likes, suggesting they resonate well with their audience.
37.4
Avg Likes/Tweet
1,946.9
Avg Retweets/Tweet
21,971
Total Likes
1,142,821
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
160
75th Percentile
108,690
Top Tweet
140.95
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
9.0%
Original
12.6%
Replies
55.4%
Retweets
23.0%
Quotes
0.0%
Threads
0.0%
With Media
46.7%
With Links
11.1%
With #Tags
69.7%
With @Mentions
41.2%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.4
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.9%
Weekday Posts
35.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 587 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 325 retweets (55% 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 587 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 7,944 followersTheir audience appears to be interested in motivational and spiritual messages, possibly younger adults looking for inspiration. The use of hashtags and links suggests they may also engage with online communities and followers seeking more information.
Good
Audience Quality
15.2%
Suspicion Index
14.8%
Low-Quality %
232
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.5%
Empty Bio
7.4%
<10 Tweets
23.0%
Mass Following (>2K)
0.0%
New (<90 days)
23.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.3%
No URL
4.2%
<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.
34,902,347
Total Potential Reach
232
Median Follower Reach
695
75th Percentile Reach
18.8%
>1K followers
4.2%
>10K followers
0.9%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
79.2%
Creators
6,295 accounts
13.4%
Consumers
1,063 accounts
7.4%
Dormant
586 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):
302
Verified Followers
3.8% of total
652
Protected Accounts
8.21% of total
8 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 | 14,105,714 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GeorgiaFootball | 1,107,097 | Football Team | Football, Georgia, Commitment |
| @NDFootball | 654,273 | Sports Coach | Football, God, Notre Dame |
| @CoachSchuman | 589,147 | Football Coach | Football, Recruiting, Motivation |
| @CFBONFOX | 453,878 | Sports Media | College Football, FOX Sports, App |
| @Hotcandyj | 321,726 | Model | Modeling, Money, North Carolina |
| @TaylorRooks | 296,610 | Sports Journalist | Sports, Falcons, Game |
| @Schultz_Report | 241,752 | Sports Analyst | Sports, Analysis, Podcasts |
| @PaniniAmerica | 227,621 | Collectibles | Collectibles, Trading cards, Stickers |
| @_LoveLike_JESUS | 225,349 | Evangelist | God, Love, Jersey |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,918
Followers With Bio
2,026
Followers Without Bio
74.5%
% With Bio
25.5%
% 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 587 analyzed433,494
Combined Engagement
0
Total Likes
433,494
Total Retweets
86,699
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Turner254: This really aint getting enough attention
RT @Trill_Philly: God got a better plan, be patient
RT @waseeemcarrim: Taking pictures of the board in a lecture knowing I'll never look at those pictures again https://t.co/Qctofk1O8l
RT @fentxyy: Rihanna age 18. Rihanna age 31. https://t.co/qLi7Wcxki4
RT @syuraaeae: what do u want ??? https://t.co/IryRphZmAL
Key Insights & Takeaways
Their top tweets include emotional and spiritual messages, which likely drive engagement. They use links in their tweets, possibly directing followers to additional content or services. Their verified status is low, suggesting they may not be a public figure or brand.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 14,078
- + 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 @JoshDowns reveals an exceptionally influential Twitter presence with 14,078 followers. The account demonstrates a conversation-first approach, averaging 1,984.3 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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