Mike Petriello
Doing the baseball things at @MLB dot com. BBWAA. NYC. BU. NJ. Bass/@thesubwayghosts. Go @njdevils.
93,442
Followers
1,559
Following
170,506
Tweets
84.9
Avg Engagement
2,981
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mike_petriello'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:2009-10-15
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:46.1
- Avg Retweets per Tweet:38.8
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,246 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
46.1
Avg Likes/Tweet
38.8
Avg Retweets/Tweet
149,724
Total Likes
125,850
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
37
75th Percentile
20,714
Top Tweet
0.91
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
13.2%
Original
74.8%
Replies
6.5%
Retweets
5.5%
Quotes
0.0%
Threads
0.2%
With Media
35.2%
With Links
1.3%
With #Tags
71.8%
With @Mentions
1.4%
With Emojis
106
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.66
Reply/Original Ratio
0.84
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.0%
Weekday Posts
19.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 211 retweets (7% 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 3,246 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 includes baseball enthusiasts, fans of specific teams, and followers of sports analysis.
Average
Audience Quality
22.6%
Suspicion Index
28.2%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.3%
Empty Bio
22.1%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
46.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
No URL
15.2%
<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.
8,566,049
Total Potential Reach
57
Median Follower Reach
212
75th Percentile Reach
6.1%
>1K followers
0.9%
>10K followers
0.3%
>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).
58.9%
Creators
5,889 accounts
19.0%
Consumers
1,899 accounts
22.1%
Dormant
2,210 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):
158
Verified Followers
1.58% of total
977
Protected Accounts
9.77% of total
5 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 |
|---|---|---|---|
| @SinghLions | 1,330,408 | Restaurateur | Food, Travel, Influencer |
| @atrupar | 882,525 | Journalist | journalism, politics, news |
| @TeamCJCorrea | 290,317 | Athlete | Baseball, Puerto Rico, Family |
| @kikehndez | 219,042 | Baseball Player | Baseball, Puerto Rico, Instagram |
| @thecoachtube | 159,499 | Sports coaching | sports, coaching, potential |
| @TheRealCoach_JB | 158,442 | Coach | Football, Coaching, Motivation |
| @RitchieTorres | 153,573 | Politician | Bronx, Public Housing, Advocacy |
| @MorelDLeon | 127,355 | - | - |
| @JQT_web3vc | 121,274 | - | - |
| @ubiraleal | 103,552 | Sports Commentator | esportes, comidas, aleatoriedades |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,873
Followers With Bio
4,127
Followers Without Bio
58.73%
% With Bio
41.27%
% 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 3,246 analyzed65,462
Combined Engagement
0
Total Likes
65,462
Total Retweets
13,092
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @MuseZack: It's funny to watch people in the replies shouting "It's because they went woke!" or "It's because the new Mandalorian season sucked!" and you drill down into the article and see it's mostly because they lost the rights to show professional cricket league games in I
RT @Angels: we are not well #GoHalos x @WBCBaseball https://t.co/bfkdSO3fzN
RT @MovingToTheSun: My new favorite thing - Bing's new ChatGPT bot argues with a user, gaslights them about the current year being 2022, says their phone might have a virus, and says "You have not been a good user" Why? Because the person asked where Avatar 2 is showing nearby h
RT @MikeTrout: It’s hard to sum up into words what these last couple of weeks have meant to me. I had the time of my life representing that USA on my chest! The energy was electric and made the WBC a moment I’ll always cherish. So thank you all so much. It was an honor to be your
RT @AlexBlechman: Imagine how much it would cost to hire LeBron James to write content for your website. Imagine miraculously getting him to do it for free. Imagine then driving him away from your website so you can fail to collect $96 from him annually https://t.co/XwqwyNcIIg
Key Insights & Takeaways
He focuses on analyzing pivotal plays and their impact on games. He often highlights standout performances and their significance in baseball history. He engages with fans by discussing and validating their perspectives on key moments.
Strengths
- + Established follower base of 93,442
- + 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 @mike_petriello reveals an growing Twitter presence with 93,442 followers. The account demonstrates a conversation-first approach, averaging 84.9 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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