Justine Stafford
Oh sure TEDtalks but does he ever 𝒍𝒊𝒔𝒕𝒆𝒏? Comediany, Actory, Writery 🇮🇪
54,928
Followers
2,194
Following
14,784
Tweets
516.3
Avg Engagement
145
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JustineStafford'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:2009-06-22
- Verification:No
- Location:Co. Meath
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:180.8
- Avg Retweets per Tweet:335.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,241 tweetsHis tweets consistently receive high likes and retweets, indicating strong audience interaction. The content is designed to provoke reactions, which aligns with his high engagement rates.
180.8
Avg Likes/Tweet
335.5
Avg Retweets/Tweet
586,071
Total Likes
1,087,382
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
1
Median Retweets
211
75th Percentile
412,993
Top Tweet
9.4
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
33.4%
Original
48.5%
Replies
14.0%
Retweets
4.1%
Quotes
0.0%
Threads
0.8%
With Media
41.1%
With Links
5.9%
With #Tags
55.2%
With @Mentions
21.4%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.45
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 453 retweets (14% 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 3,241 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 followersHis audience appears to be fans of edgy humor and unconventional storytelling, likely aged 20-40. They are drawn to his unapologetic style and willingness to tackle taboo topics.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
112
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.3%
No URL
100.0%
<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.
24,970,963
Total Potential Reach
112
Median Follower Reach
392
75th Percentile Reach
11.9%
>1K followers
1.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,062
Protected Accounts
10.62% 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 | 14,097,760 | Wrestler | Wrestling, Motivation, Self-promotion |
| @sherylunderwood | 1,324,638 | TV Host | Talk show, radio, sorority |
| @mchooyah | 598,840 | Navy SEAL | Military, Sniper, Beer |
| @JadenHeart3 | 478,708 | Adult entertainer | top, nice, naughty |
| @EvanKirstel | 350,335 | Tech Influencer | Tech, B2B, Social media |
| @sidin | 233,925 | Writer | Writing, Co-founder, Jokes |
| @samanthamaiden | 185,408 | Political Editor | Politics, Journalism, Author |
| @ItsJustKaz_ | 140,578 | - | - |
| @madverse | 137,256 | Poet | poetry, Dada, Surrealism |
| @EleanorMorton | 127,471 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,291
Followers With Bio
3,709
Followers Without Bio
62.91%
% With Bio
37.09%
% 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 3,241 analyzed777,642
Combined Engagement
0
Total Likes
777,642
Total Retweets
155,528
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
RT @dereckapurnell: If this was about babies, there would be universal healthcare. Free education. Free daycare. Southern states would be doing all they can to drop the Black maternal mortality rate. This is about power and control
RT @elizabethlgr: The treatment for an ectopic pregnancy is abortion. The treatment for a septic uterus is abortion. The treatment for a miscarriage that your body won’t release is abortion. If you can’t get those abortions, you die. You. Die.
RT @saddie_baddies: social media breaks will remind you that a lot of this shit doesn’t even deserve a reaction all the time. conserve that energy for creativity, community, love, exploration, etc.
RT @kavithadavidson: Simone Biles won nationals w/broken toes in both feet, worlds w/a kidney stone, and has carried the burden of being a face of sexual assault survivors as a national institution failed to support them Half of y'all yelling about "toughness" can't handle weari
Key Insights & Takeaways
His content often includes provocative and controversial topics that spark debate He uses humor and personal anecdotes to engage his audience His tweets frequently include links to external content, suggesting a mix of multimedia and text-based storytelling
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,928
- + 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 @JustineStafford reveals an well-established Twitter presence with 54,928 followers. The account demonstrates a conversation-first approach, averaging 516.3 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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