Dave England
I'm that one dude from Jackass who shits
228,683
Followers
127
Following
5,523
Tweets
82.7
Avg Engagement
414
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @daveenglandshit'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:2010-10-06
- Verification:No
- Location:Ojai, CA
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:22.3
- Avg Retweets per Tweet:60.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,179 tweetsHis tweets typically receive moderate engagement, with an average of 571 likes and 215 retweets per post. The content is well-received, suggesting a strong connection with his fanbase.
22.3
Avg Likes/Tweet
60.4
Avg Retweets/Tweet
70,796
Total Likes
192,021
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
3
Median Retweets
39
75th Percentile
133,750
Top Tweet
0.36
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
58.1%
Original
36.4%
Replies
5.0%
Retweets
0.5%
Quotes
0.0%
Threads
1.7%
With Media
45.5%
With Links
34.6%
With #Tags
53.7%
With @Mentions
0.3%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.63
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,179 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 159 retweets (5% 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 3,179 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 followersThe audience is largely composed of fans of Jackass and pop culture enthusiasts. They appreciate his humor, nostalgia, and candid take on fame and everyday life.
Average
Audience Quality
22.3%
Suspicion Index
23.8%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
17.3%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
54.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.8%
No URL
9.9%
<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.
46,251,119
Total Potential Reach
42
Median Follower Reach
143
75th Percentile Reach
3.3%
>1K followers
0.4%
>10K followers
0.1%
>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).
60.8%
Creators
30,397 accounts
21.9%
Consumers
10,961 accounts
17.3%
Dormant
8,642 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):
263
Verified Followers
0.26% of total
12,116
Protected Accounts
12.0% 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 | 14,100,527 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Casey | 2,077,756 | YouTuber | family, work |
| @6BillionPeople | 2,034,456 | - | - |
| @XboxSupport | 1,912,317 | Customer Support | Gaming, Support, Community |
| @dariusrucker | 1,592,464 | Musician | Music, Touring, Beer |
| @HeathHussar | 1,231,728 | YouTuber | comedy, travel, vlogs |
| @greggrunberg | 1,190,592 | Actor | ACTOR, WRITER, BANDS |
| @funder | 1,106,914 | Journalist | Politics, Journalism, Music |
| @CSuiteConfess | 1,003,039 | Executive Coach | #MeToo, Executives, Navigating |
| @ericschiffer | 688,634 | CEO | business, media, author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,729
Followers With Bio
43,264
Followers Without Bio
57.16%
% With Bio
42.84%
% 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 3,179 analyzed152,030
Combined Engagement
1,264
Total Likes
150,766
Total Retweets
30,406
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @slackerdook: the best thing about my school is the danny devito shrine hidden behind the paper towel dispenser in one of the bathrooms…
RT @StephenAtHome: Please retweet this. Sincerely, Stephen #lordofthetweets
RT @nathanfielder: Big news: Nathan for You returns to @ComedyCentral on Oct 15. Put it in your calendar. I did! http://t.co/PIkiE3Dk01
RT @KFUCKINGP: Bet.̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̸̨̨̨̨̨̨̨̨̨̨̨̨.̸̸̨̨you thought your screen was cracked. Rubbing it off now? Happy April fools, ...
2006 screening of Jackass Number Two in The Outback (not the steakhouse) https://t.co/bpn1VvPVb4
Key Insights & Takeaways
He leverages nostalgia and humor to maintain audience interest. His content often includes pop culture references and personal stories. He engages with fans through light-hearted banter and humor.
Strengths
- + Established follower base of 228,683
- + 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 @daveenglandshit reveals an growing Twitter presence with 228,683 followers. The account demonstrates a content-creator strategy, averaging 82.7 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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