Jim Cantore

Jim Cantore

@JimCantore

Certified Broadcast Meteorologist and AMS Fellow. WX GEEK at TWC for 37+ years. Always awaiting mother natures latest temper tantrum. The journey is the reward.

Location: Up to mother nature https://twitter.com/jimcantore Joined 2009-02-20 Date of Analysis: Dec 16, 2025

1,317,537

Followers

3,451

Following

113,156

Tweets

119.7

Avg Engagement

8,448

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JimCantore'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: Mega Influencer (1M+)
  • Account Age:2009-02-20
  • Verification:No
  • Location:Location: Up to mother nature

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:61.6
  • Avg Retweets per Tweet:58.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,244 tweets

Jim Cantore's tweets are highly engaging, with a strong average number of likes and retweets. His content often includes visuals and personal anecdotes, which contribute to higher interaction rates.

61.6

Avg Likes/Tweet

58.2

Avg Retweets/Tweet

199,763

Total Likes

188,673

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

7

Median Retweets

100

75th Percentile

24,175

Top Tweet

0.09

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

22.1%

Original

36.9%

Replies

29.8%

Retweets

11.2%

Quotes

0.0%

Threads

1.4%

With Media

43.9%

With Links

15.5%

With #Tags

70.1%

With @Mentions

2.9%

With Emojis

111

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.67

Reply/Original Ratio

0.38

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

91.1%

Weekday Posts

8.9%

Weekend Posts

Top Hashtags

#mswx (28) #spc_md (25) #txwx (24) #fiona (23) #ian (22) #cawx (20) #wxtwitter (19) #tornado (15) #lawx (15) #alwx (14)

Most Mentioned

@jimcantore (155) @weatherchannel (129) @spann (77) @stephanieabrams (75) @nwsspc (53) @gilsimmons (48) @macedo_weather (43) @reedtimmeraccu (43) @weatherbell (41) @charlespeekwx (35)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 717 (22%)
Replies 1,198 (37%)
Retweets 966 (30%)
Quote Tweets 363 (11%)

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 966 retweets (30% 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 3,244 tweets

Engagement 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 followers

His audience consists of weather enthusiasts, news consumers, and individuals in areas prone to extreme weather. The audience is likely interested in accurate, timely, and visually compelling weather reports.

Average

Audience Quality

25.5%

Suspicion Index

36.4%

Low-Quality %

27

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52.4%

Empty Bio

28.6%

<10 Tweets

8.6%

Mass Following (>2K)

0.0%

New (<90 days)

51.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.1%

No URL

20.4%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

39,341,851

Total Potential Reach

27

Median Follower Reach

136

75th Percentile Reach

5.3%

>1K followers

0.6%

>10K followers

0.1%

>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).

52.3%

Creators

26,142 accounts

19.1%

Consumers

9,534 accounts

28.6%

Dormant

14,324 accounts

793

Verified Followers

1.59% of total

5.6%

Professional Bios

founder, dev, analyst, etc.

0.1

Median Follow Ratio

follower/following

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):

Florida, USA (810) United States (720) Buffalo, NY (285) Tampa, FL (268) Florida (255) Orlando, FL (245) USA (200) Miami, FL (200) Chicago, IL (173) Texas, USA (143)

1,478

Verified Followers

1.48% of total

13,111

Protected Accounts

13.11% 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 14,105,414 Wrestler Wrestling, Motivation, Self-promotion
@Reportero24 945,196 - -
@NOH8Campaign 801,914 Activism equality, bullying, discrimination
@vickyvette 747,094 Adult Entertainer Adult, Webstar, Norwegian
@Jason 710,109 Investor startups, investing, podcasting
@Southern_Living 698,670 Lifestyle influencer recipes, decorating, gardening
@IamMzilikazi 544,525 Musician Pan-African music, Album, Rise
@PopWrapped 500,933 Entertainment News Entertainment, Pop-culture, Fandoms
@rawsalerts 470,449 - -
@JosephJFlynn1 458,635 - -

Top Keywords in Follower Bios

love (3,545) mom (2,882) life (2,449) lover (1,966) wife (1,918) weather (1,690) sports (1,585) husband (1,442) family (1,250) proud (1,218)

Top Hashtags in Follower Bios

#billsmafia (196) #blm (179) #resist (171) #blacklivesmatter (107) #1 (98) #maga (98) #voteblue (84) #2a (49) #fbr (42) #lgbtq (37)

48,599

Followers With Bio

51,401

Followers Without Bio

48.6%

% With Bio

51.4%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,244 analyzed

58,297

Combined Engagement

9,218

Total Likes

49,079

Total Retweets

11,659

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Weather Meteorology Real-Time Updates Severe Weather Visual Storytelling Eyewitness Accounts

Key Insights & Takeaways

Jim Cantore frequently shares real-time updates on severe weather events, such as hurricanes and snowstorms. He often includes personal photos and eyewitness accounts, adding a human element to his reports. His content is highly visual, with links to images and videos that enhance the storytelling aspect of his tweets.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,317,537
  • + 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 @JimCantore reveals an well-established Twitter presence with 1,317,537 followers. The account demonstrates a conversation-first approach, averaging 119.7 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025