Pat Kiernan
I wake up early to deliver the news on #MorningsOn1 for @NY1. Sometimes I host game shows. New Yorker. 🇨🇦 🇺🇸
56.248
Followers
8.971
Following
37.902
Tweets
122,0
Avg Engagement
1.404
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @patkiernan'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:2009-03-05
- Verification:No
- Location:New York
Data Summary
- Tweets Analyzed:3.241
- Avg Likes per Tweet:35,1
- Avg Retweets per Tweet:86,9
- Followers Analyzed:9.998
Engagement Analysis
Based on 3.241 tweetsHis tweets typically receive a high number of likes and retweets, indicating a responsive and interested audience. The engagement suggests his content is relevant and timely.
35,1
Avg Likes/Tweet
86,9
Avg Retweets/Tweet
113.772
Total Likes
281.514
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
2
Median Retweets
26
75th Percentile
59.397
Top Tweet
2,17
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
20,7%
Original
40,1%
Replies
23,9%
Retweets
15,3%
Quotes
0,0%
Threads
0,9%
With Media
50,9%
With Links
10,9%
With #Tags
76,2%
With @Mentions
2,5%
With Emojis
143
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,94
Reply/Original Ratio
0,64
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87,9%
Weekday Posts
12,1%
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 775 retweets (24% 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 9.998 followersHis audience likely includes New Yorkers and followers of local news, as well as those interested in politics and public health. The mix of news and commentary suggests a diverse group of engaged readers.
Below Average
Audience Quality
37,5%
Suspicion Index
100,0%
Low-Quality %
68
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)
80,5%
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.
50.553.175
Total Potential Reach
68
Median Follower Reach
357
75th Percentile Reach
13,2%
>1K followers
2,4%
>10K followers
0,7%
>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
1.323
Protected Accounts
13.23% of total
7 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 | 14.090.774 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AOC | 13.389.824 | Politician | politics, social justice, equality |
| @AndrewYang | 1.679.662 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @SinghLions | 1.326.052 | Restaurateur | Food, Travel, Influencer |
| @60Minutes | 1.265.108 | Journalist | Investigative reporting, Interviews, Profiles |
| @StartupPro | 976.295 | Entrepreneurship | Entrepreneurship, Technology, Investing |
| @NYPDnews | 793.505 | Law Enforcement | Law enforcement, public safety, community outreach |
| @TonyReali | 717.345 | Sports Commentator | Sports, TV, News |
| @_yavuzatalay | 690.821 | Journalist | Politics, Journalism, White House |
| @astrologyzone | 518.804 | Astrologer | astrology, horoscopes, subscription |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.366
Followers With Bio
3.634
Followers Without Bio
63.66%
% With Bio
36.34%
% 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 3.241 analyzed165.538
Combined Engagement
32.357
Total Likes
133.181
Total Retweets
33.108
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @Russ_FTW: this is the Canadian citizenship test. https://t.co/MNIoEOaFo3
RT @igorbobic: They’re in the chamber. One is up on the dais yelling “Trump won that election!” This is insane https://t.co/p6CXhBDSFT
Mask distribution attempt on Staten Island. The borough is firmly the #NYC coronavirus hotspot with a positive test rate of 4.8 percent. https://t.co/0ThWaDFt4U
RT @JebBush: Congratulations to President-elect Biden. I have prayed for our President most of my adult life. I will be praying for you and your success. Now is the time to heal deep wounds. Many are counting on you to lead the way.
If Trump lawyer Michael van der Veen seems out of place, it’s not just because he’s new to the case. His firm focuses on car accidents and slip and fall injuries. Here’s one of his radio ads. https://t.co/LUGKV3Qx2S
Key Insights & Takeaways
He frequently covers local news and public health issues, especially related to New York City. His tweets often include links to articles, suggesting he shares news and commentary. He engages with political and social topics, indicating a focus on current events and public discourse.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56.248
- + 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 @patkiernan reveals an well-established Twitter presence with 56.248 followers. The account demonstrates a conversation-first approach, averaging 122,0 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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