Adin Kolansky
I like to make people laugh. Snap: adin_kolansky
204,926
Followers
4,847
Following
1,592
Tweets
690.8
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @adinkolansky'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:2015-05-21
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:1,589
- Avg Likes per Tweet:610.7
- Avg Retweets per Tweet:80.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,589 tweetsHis tweets receive high engagement, with an average of 6k likes and 1k retweets. This suggests a loyal and active fanbase that enjoys his content.
610.7
Avg Likes/Tweet
80.0
Avg Retweets/Tweet
970,441
Total Likes
127,166
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
129
Median Likes
23
Median Retweets
704
75th Percentile
13,432
Top Tweet
3.37
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
89.1%
Original
6.3%
Replies
3.6%
Retweets
1.0%
Quotes
0.0%
Threads
0.9%
With Media
42.9%
With Links
8.0%
With #Tags
26.1%
With @Mentions
46.3%
With Emojis
72
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.0%
Weekday Posts
25.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,589 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 57 retweets (4% 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 1,589 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 followersHis audience likely enjoys light-hearted humor and relatable content. They appreciate his candid and authentic approach to life and comedy.
Below Average
Audience Quality
35.2%
Suspicion Index
44.6%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.2%
Empty Bio
56.2%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
75.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
37.0%
<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.
27,959,590
Total Potential Reach
3
Median Follower Reach
11
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
17.5%
Creators
8,737 accounts
26.4%
Consumers
13,176 accounts
56.2%
Dormant
28,087 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):
65
Verified Followers
0.06% of total
7,126
Protected Accounts
7.06% of total
6 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 | 14,099,646 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,696,212 | Chef | Cooking, Food, Restaurants |
| @KameronBennett | 1,817,345 | DJ | Music, DJing, Booking |
| @MasNotes | 1,274,511 | Lawyer | Technology, Innovation, Business |
| @JenSelter | 1,237,238 | Fitness influencer | Fitness, Health, Recipes |
| @JDaIey | 1,230,297 | - | - |
| @shaunking | 1,021,477 | Activist | Social justice, activism, journalism |
| @ZachBoychuk | 828,968 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @DanielNewman | 812,175 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @iownjd | 777,464 | Lawyer | learn, inspire, engage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,353
Followers With Bio
55,643
Followers Without Bio
44.91%
% With Bio
55.09%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,589 analyzed43,247
Combined Engagement
37,261
Total Likes
5,986
Total Retweets
8,649
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
If I can make one person's day every day, i'm happy
I hate being caught in between fights because people want you to choose a side. I'm not like that
Everyone hates each other, my fam got in a car accident (they're ok), and I burnt my bagel. happy Sunday 😑 lol
what if the twitter logo was a duck? would tweets be called quacks? requack this if you agree
This girl just almost hit me with her car but she was cute so it's ok. run me over babe
Key Insights & Takeaways
He uses humor to cope with personal challenges and share relatable moments. His content often includes personal anecdotes that resonate with his audience. He balances humor with vulnerability, creating a genuine connection with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 204,926
- + 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 @adinkolansky reveals an well-established Twitter presence with 204,926 followers. The account demonstrates a content-creator strategy, averaging 690.8 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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