Eddie Sheerr
Proud dad | Husband to @SQ85 | Chief Meteorologist at @NTVNewsNL | #nlwx | 🇺🇸 🇨🇦 | Views/opinions are my own
67,873
Followers
3,776
Following
74,306
Tweets
23.8
Avg Engagement
246
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EddieSheerr'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:2009-05-28
- Verification:No
- Location:St. John's, NL
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:17.4
- Avg Retweets per Tweet:6.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,242 tweetsEddie's tweets typically receive around 566 likes and 73 retweets, indicating moderate engagement. His content often sparks discussions around weather and local events.
17.4
Avg Likes/Tweet
6.4
Avg Retweets/Tweet
56,427
Total Likes
20,660
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
17
75th Percentile
4,950
Top Tweet
0.35
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
32.5%
Original
52.6%
Replies
7.6%
Retweets
7.4%
Quotes
0.0%
Threads
0.9%
With Media
49.1%
With Links
42.2%
With #Tags
64.1%
With @Mentions
1.4%
With Emojis
120
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.62
Reply/Original Ratio
0.98
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.9%
Weekday Posts
20.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 245 retweets (8% 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 3,242 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 followersHis audience includes weather enthusiasts, local residents, and media professionals interested in accurate forecasts. They appreciate his blend of expertise and relatability.
Average
Audience Quality
31.5%
Suspicion Index
50.0%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.5%
Empty Bio
48.7%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
46.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
38.4%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
7,370,869
Total Potential Reach
13
Median Follower Reach
93
75th Percentile Reach
4.8%
>1K followers
0.8%
>10K followers
0.2%
>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).
31.1%
Creators
3,108 accounts
20.2%
Consumers
2,024 accounts
48.7%
Dormant
4,868 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):
74
Verified Followers
0.74% of total
662
Protected Accounts
6.62% of total
4 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 |
|---|---|---|---|
| @iownjd | 763,720 | Lawyer | learn, inspire, engage |
| @paul_steele | 642,951 | Travel Blogger | Travel, hiking, photography |
| @IamMzilikazi | 553,662 | Musician | Pan-African music, Album, Rise |
| @SimonKaggwaNjal | 439,742 | PR Consultant | #PR, #Media, #Speakerpreneur |
| @Havenlust | 294,330 | Photographer | Photography, Travel, Art |
| @Andrew_S_Dykes | 238,088 | Writer | Thoughts, Void, Throwing |
| @OxfordDiplomat | 178,373 | Diplomat | Cyber, Gender, Diplomacy |
| @collectibulldog | 175,631 | Collector | bulldogs, mental health, advocacy |
| @wmiddelkoop | 137,092 | Investor | Bitcoin, Investing, Journalism |
| @markcritch | 111,696 | Comedian | Comedy, Writing, Television |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,848
Followers With Bio
6,152
Followers Without Bio
38.48%
% With Bio
61.52%
% 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 3,242 analyzed11,508
Combined Engagement
1,252
Total Likes
10,256
Total Retweets
2,302
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @spann: Current view from a Troopers car in Cheyenne, Wyoming. Current conditions outside of Cheyenne are -18 with zero visibility. Video from Wyoming Highway Patrol https://t.co/TTa7PsrSG6
RT @AnthonyFarnell: Canada just surpassed 4 million hectares burned this year. For comparison, last year only 28 thousand hectares had burned by June 7th. That’s an increase of about 14400%. Wow! https://t.co/XEePXZuxQO
RT @NASA: Hey, you: Get a load of this cloud! High-altitude ice clouds (like this one) can help regulate Earth's temperature by reflecting energy from the Sun. A new @NASAEarth mission called PoISIR aims to study them in greater detail to improve climate forecasts. https://t.co/
Cold front inbound! 📸 Kevin Petten 📍Port de grave #NLwx https://t.co/JscsiZZ7OV
RT @IWeatherON: "How did the Quebec wildfires start all at once?!" is a question we've been receiving quite a bit. We were curious too so we decided to review the data. Using GOES-16 satellite data for fire hotspots and by overlay lightning data, the answer becomes pretty clear.
Key Insights & Takeaways
He frequently shares real-time weather updates and visuals, which drive engagement. Personal stories and local events, like surfing in December, add a human touch. He uses hashtags like #NLwx to build a community around weather topics.
Strengths
- + Established follower base of 67,873
- + 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 @EddieSheerr reveals an growing Twitter presence with 67,873 followers. The account demonstrates a conversation-first approach, averaging 23.8 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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