WeatherWatch.co.nz
New Zealand's most popular private weather forecaster & data supplier.🌞 We sell the World's Most Accurate Weather Data. 🏔Proudly 100% NZ owned. @CNN affiliate
53,212
Followers
7,118
Following
66,231
Tweets
13.0
Avg Engagement
410
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WeatherWatchNZ'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:2009-07-27
- Verification:No
- Location:New Zealand
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:8.8
- Avg Retweets per Tweet:4.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,197 tweetsThe account maintains a steady level of engagement with average likes and retweets per tweet. It leverages multimedia content, such as YouTube views, to boost interaction.
8.8
Avg Likes/Tweet
4.1
Avg Retweets/Tweet
28,275
Total Likes
13,145
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
10
75th Percentile
1,463
Top Tweet
0.24
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
36.0%
Original
49.7%
Replies
11.7%
Retweets
2.6%
Quotes
0.0%
Threads
0.7%
With Media
53.5%
With Links
22.9%
With #Tags
71.2%
With @Mentions
26.5%
With Emojis
137
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.38
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.6%
Weekday Posts
19.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 375 retweets (12% 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 3,197 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 followersThe primary audience is New Zealanders interested in accurate weather forecasts and data. They also engage with international audiences due to the global nature of weather patterns.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
13
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)
89.2%
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.
4,408,980
Total Potential Reach
13
Median Follower Reach
93
75th Percentile Reach
4.7%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>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
10,000 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
1,038
Protected Accounts
10.38% 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 |
|---|---|---|---|
| @reddeemergencia | 1,068,128 | Emergency Response | Emergency Response, Citizen Corporation, National Network |
| @HelenClarkNZ | 226,384 | Politician | human development, sustainable development, world-wide |
| @ldobartra | 171,702 | Educador | science communication, education, content creation |
| @Arab_Storms | 156,749 | - | - |
| @Jeff_Piotrowski | 86,549 | Storm Chaser | Storm Chasing, Tesla, TEDx Speaker |
| @chezpim | 71,975 | Chef | food, chef, restaurants |
| @SigGravitas | 53,117 | - | - |
| @atapasha7 | 44,838 | - | - |
| @bexsayswords | 43,762 | - | - |
| @LizWebsterSBF | 43,626 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,313
Followers With Bio
5,687
Followers Without Bio
43.13%
% With Bio
56.87%
% 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 3,197 analyzed3,774
Combined Engagement
1,624
Total Likes
2,150
Total Retweets
755
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
🚨🌀We don't say this lightly - but this is looking like one of the most serious storms forecast for New Zealand so far this century. The northern half of the North Island is especially exposed. Global modelling is highly aligned, but not 100% locked in. #CycloneGabrielle http
RT @CrazyIdeasNZ: Auckland bus way swamped https://t.co/9XIcsm2Lrz
RT @MAstronomers: Our Solar System is only Light-Hours Away from Earth 🌍🤯 #earth https://t.co/uLlRIyZ9wh
✅A testament to the incredible accuracy of global weather modelling we trust most.🌏 Last Wednesday's weather map for 4am today, compared with the actual set up at 4am today! Models picked this storm with high accuracy 15 days in advance, well before #CycloneGabrielle existed. h
🚨6:25am: Despite severe weather across many regions for the past 24 hours, Cyclone Gabrielle is still located north of NZ. ⚠️The storm is tracking into the upper North Island today - and tonight it will intensify as it approaches Northland, Auckland & Coromandel Peninsula.
Key Insights & Takeaways
The account highlights its accuracy and reliability in weather forecasting, which is a key differentiator. It uses impactful and urgent language to capture attention, especially during severe weather events. The account effectively promotes its YouTube content, showing a multi-platform strategy.
Strengths
- + Established follower base of 53,212
- + 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 @WeatherWatchNZ reveals an growing Twitter presence with 53,212 followers. The account demonstrates a conversation-first approach, averaging 13.0 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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