JW
| In Jesus name I play| 🐬|
98,724
Followers
725
Following
5,555
Tweets
881.1
Avg Engagement
276
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @D1__JW'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:2014-07-23
- Verification:No
- Location:HOUSTON SWAT TX
Data Summary
- Tweets Analyzed:3,046
- Avg Likes per Tweet:166.0
- Avg Retweets per Tweet:715.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,046 tweetsThe account consistently receives a high number of likes and retweets, suggesting strong audience approval and shareability. The engagement rate is well above average, indicating a dedicated fanbase.
166.0
Avg Likes/Tweet
715.2
Avg Retweets/Tweet
505,496
Total Likes
2,178,388
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
189
75th Percentile
142,098
Top Tweet
8.93
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
7.4%
Original
14.1%
Replies
53.4%
Retweets
25.0%
Quotes
0.0%
Threads
0.2%
With Media
69.6%
With Links
18.5%
With #Tags
70.3%
With @Mentions
45.6%
With Emojis
74
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.92
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,046 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 1,628 retweets (53% 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 3,046 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 and interested in trending topics, humor, and bold statements. They engage frequently with likes and retweets, showing a high level of interaction.
Average
Audience Quality
24.6%
Suspicion Index
33.7%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.5%
Empty Bio
30.8%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
49.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
19.9%
<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.
12,434,710
Total Potential Reach
24
Median Follower Reach
114
75th Percentile Reach
3.2%
>1K followers
0.5%
>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).
46.0%
Creators
4,605 accounts
23.1%
Consumers
2,311 accounts
30.8%
Dormant
3,084 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):
100
Verified Followers
1.0% of total
912
Protected Accounts
9.12% 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,370,484 | - | - |
| @PFF | 1,255,791 | Sports Analyst | NFL, NCAA, Analytics |
| @SNFonNBC | 1,188,981 | Sports Broadcaster | Football, NFL, Primetime |
| @LeBronJames | 979,296 | - | - |
| @ZachBoychuk | 827,769 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NFLBrasil | 270,767 | Sports Media | Football, Sports, Brasil |
| @bigplay24slay | 258,547 | NFL Player | Football, Pro Bowl, Eagles |
| @AlcanderLoyola | 186,531 | - | - |
| @ECIDOL_ | 158,784 | YouTuber | Youtuber, Singer, Travel |
| @WhistleSports | 148,590 | Sports Media | Sports, Entertainment, Social Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,250
Followers With Bio
4,750
Followers Without Bio
52.5%
% With Bio
47.5%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,046 analyzed444,090
Combined Engagement
0
Total Likes
444,090
Total Retweets
88,818
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @espn: Dear Kobe: https://t.co/Vy3o4nmAi2
RT @MileyCyrus: Sorry Dad.... I'll be good tonight I promise ... @vmas https://t.co/QZWOfSfNg5
RT @darrenrovell: Ahead of @DwyaneWade's final regular season game, Budweiser delivers the most non-traditional tribute video. It's a must watch. https://t.co/WXyk61IDMy
RT @MileyCyrus: Bitch Is Back!! https://t.co/NqSFjATKhs
RT @KingJames: 🤷🏾♂️ The young generation would say I was in my bag and haters will say it’s fake. https://t.co/hCXa7OctWR
Key Insights & Takeaways
The user often uses bold and provocative statements to stand out. Their content is highly shareable and likely resonates with a younger demographic. They leverage humor and viral moments to maintain audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 98,724
- + 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 @D1__JW reveals an well-established Twitter presence with 98,724 followers. The account demonstrates a conversation-first approach, averaging 881.1 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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