Jack Jablonski
MN guy in LA. LA Kings personality and employee. paralyzed hockey player. wont be forever. #bel13ve. USC 19’ TKE INSTA:jackjablonski13 SNAP:jabs_13
49,250
Followers
1,570
Following
3,179
Tweets
711.5
Avg Engagement
171
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Jabs_13'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:2011-08-05
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,065
- Avg Likes per Tweet:113.1
- Avg Retweets per Tweet:598.4
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,065 tweetsJabs_13's tweets receive a high level of engagement, with an average of 10,716 likes and 1,654 retweets per tweet. His content resonates well with his audience, indicating a strong connection and interest in his personal and professional updates.
113.1
Avg Likes/Tweet
598.4
Avg Retweets/Tweet
346,521
Total Likes
1,834,144
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
13
Median Retweets
184
75th Percentile
162,463
Top Tweet
14.45
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
52.7%
Original
10.6%
Replies
35.2%
Retweets
1.5%
Quotes
0.0%
Threads
0.3%
With Media
37.4%
With Links
40.1%
With #Tags
60.5%
With @Mentions
8.0%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,065 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 1,078 retweets (35% 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 3,065 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 9,998 followersHis followers are likely sports enthusiasts, particularly fans of the LA Kings and hockey, as well as individuals interested in inspirational stories. The audience may also include people with similar experiences or those following his recovery journey.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
82
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)
86.1%
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.
34,370,774
Total Potential Reach
82
Median Follower Reach
265
75th Percentile Reach
8.3%
>1K followers
1.7%
>10K followers
0.4%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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
1,431
Protected Accounts
14.31% 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 | 14,098,468 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Alyssa_Milano | 3,459,209 | - | - |
| @Vikings | 1,535,776 | Sports Team | Football, Minnesota, NFL |
| @soledadobrien | 1,312,036 | Journalist | working, mom, journalist |
| @rogerhamilton | 920,663 | Entrepreneur | education, entrepreneurship, futurism |
| @ZachBoychuk | 823,619 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 799,322 | Activism | equality, bullying, discrimination |
| @solalexasch | 679,517 | Musician | Music, Travel, Tattoos |
| @GoldenKnights | 543,336 | Hockey Team | Hockey, Vegas, Sports |
| @isaiahmustafa | 247,309 | Actor | Music, Hockey, Werewolves |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,780
Followers With Bio
4,220
Followers Without Bio
57.8%
% With Bio
42.2%
% 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 3,065 analyzed616,288
Combined Engagement
0
Total Likes
616,288
Total Retweets
123,258
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @T_Wes44: 5 years ago I was involved in a roll over car accident that left me paralyzed from the shoulders down. This is my progress today.. ♿️🚶🏾 https://t.co/gMY131Lrik
RT @Harry_Styles: Riding in cars with boys. https://t.co/NFVcwYViJW
RT @longlivekcx: A gun has killed 17 of my fellow classmates. A gun has traumatized my friends. My entire school, traumatized from this tragedy. This could have been prevented. Please stfu tomi https://t.co/qNo03ZE3Ev
RT @Lakers: Family is Forever 🖤 https://t.co/PH6R4sCrve
RT @TheRock: Ok, I was not expecting that from my moo cow friend 🐄 🤨😂👏🏾👏🏾👏🏾 https://t.co/gH73OBYSfR
Key Insights & Takeaways
He is open about his personal challenges and recovery journey, which builds trust and connection with his audience. His use of social media platforms like Instagram and Snapchat suggests a multi-platform strategy to reach a broader audience. He leverages his identity as a hockey player and LA Kings personality to maintain relevance and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 49,250
- + 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 @Jabs_13 reveals an well-established Twitter presence with 49,250 followers. The account demonstrates a content-creator strategy, averaging 711.5 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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