Tom Caron (blue checkmark redacted)
Just a kid from Lewiston who gets to talk about baseball and hockey on @NESN. If it's raining, I'm probably talking. Part of the @USLtoPortland movement.
78,473
Followers
1,335
Following
33,097
Tweets
145.2
Avg Engagement
1,296
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TomCaron'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:2009-04-01
- Verification:No
- Location:Boston
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:122.4
- Avg Retweets per Tweet:22.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The emotional depth of his posts often drives significant engagement and conversation.
122.4
Avg Likes/Tweet
22.7
Avg Retweets/Tweet
397,657
Total Likes
73,810
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
24
Median Likes
2
Median Retweets
111
75th Percentile
10,178
Top Tweet
1.85
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
39.2%
Original
30.0%
Replies
15.6%
Retweets
15.2%
Quotes
0.0%
Threads
0.5%
With Media
41.5%
With Links
25.1%
With #Tags
48.6%
With @Mentions
5.5%
With Emojis
123
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.77
Reply/Original Ratio
0.97
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.3%
Weekday Posts
31.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 506 retweets (16% 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 3,248 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 followersTom Caron's audience includes sports fans, particularly those interested in baseball and hockey, as well as followers of NESN and the USLtoPortland movement. His content appeals to both casual and dedicated sports enthusiasts.
Average
Audience Quality
24.2%
Suspicion Index
32.3%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.5%
Empty Bio
27.1%
<10 Tweets
11.0%
Mass Following (>2K)
0.0%
New (<90 days)
48.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
19.0%
<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.
8,087,379
Total Potential Reach
38
Median Follower Reach
170
75th Percentile Reach
5.4%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.7%
Creators
5,372 accounts
19.2%
Consumers
1,920 accounts
27.1%
Dormant
2,708 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):
121
Verified Followers
1.21% of total
1,032
Protected Accounts
10.32% 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 |
|---|---|---|---|
| @greggrunberg | 1,184,812 | Actor | ACTOR, WRITER, BANDS |
| @EvanKirstel | 348,753 | Tech Influencer | Tech, B2B, Social media |
| @davenewworld_2 | 289,297 | Reporter | Racism, Reporting, Media |
| @redturn2 | 277,015 | Baseball Player | Baseball, Dodgers, Wedding |
| @PeteSouza | 241,337 | - | - |
| @kikehndez | 218,821 | Baseball Player | Baseball, Puerto Rico, Instagram |
| @AlcanderLoyola | 185,686 | - | - |
| @BryanHoch | 170,295 | Sports Journalist | Yankees, Family, Writing |
| @mattnewts | 137,461 | - | - |
| @SergeantAqGo | 130,657 | Military Veteran | Iraq war, pro-police, veteran |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,447
Followers With Bio
4,553
Followers Without Bio
54.47%
% With Bio
45.53%
% 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 3,248 analyzed41,820
Combined Engagement
39,214
Total Likes
2,606
Total Retweets
8,364
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
#NewProfilePic https://t.co/ztA5e8xyEG
Having trouble finding the words to describe what the loss of Jerry means to me, and to all of us who love the Red Sox. He was insightful, funny, and courageous. It was an honor to call him my friend. We will miss him terribly. #RIPJerryRemy https://t.co/axMBpgbmFd
https://t.co/lKiPxxPbD8
Every NESN sideline reporter ever. #sidelinereunion https://t.co/GxRmpfcoxg
bAsEbAlL iS dEaD https://t.co/PkF3fA57nd
Key Insights & Takeaways
Tom Caron's personal connection to Lewiston and his passion for sports are central to his identity. His ability to blend humor and insight in his coverage sets him apart. He uses personal milestones and tributes to connect with his audience on a deeper level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,473
- + 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 @TomCaron reveals an well-established Twitter presence with 78,473 followers. The account demonstrates a content-creator strategy, averaging 145.2 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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