Weeronline
🌦 Volg Weeronline voor je dagelijkse weersverwachting. 📸 Deel je mooiste weerfoto's met @weeronline #herfst #warm #winter #koud #buien #hagel #wintersport
67,810
Followers
105
Following
30,040
Tweets
5.8
Avg Engagement
445
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @weeronline'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:2008-03-30
- Verification:No
- Location:Houten
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:4.7
- Avg Retweets per Tweet:1.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account sees moderate engagement with an average of 59 likes and 28 retweets per tweet. Posts that include visuals and educational content tend to perform better, indicating a preference for informative and visually appealing content.
4.7
Avg Likes/Tweet
1.2
Avg Retweets/Tweet
15,114
Total Likes
3,832
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
7
75th Percentile
644
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
Broadcaster
Primarily shares original content
95.5%
Original
1.2%
Replies
1.4%
Retweets
1.9%
Quotes
0.0%
Threads
0.0%
With Media
98.9%
With Links
20.8%
With #Tags
4.0%
With @Mentions
20.6%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
1.43
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
75.4%
Weekday Posts
24.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 44 retweets (1% 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 3,249 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 likely Dutch residents interested in weather updates, seasonal changes, and outdoor activities. Followers may also include photography enthusiasts and those looking for health-related weather advice.
Below Average
Audience Quality
41.3%
Suspicion Index
64.6%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
69.5%
Empty Bio
71.6%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
76.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
59.8%
<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.
1,148,876
Total Potential Reach
1
Median Follower Reach
9
75th Percentile Reach
1.1%
>1K followers
0.1%
>10K followers
0.0%
>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).
15.3%
Creators
1,530 accounts
13.1%
Consumers
1,307 accounts
71.6%
Dormant
7,163 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):
8
Verified Followers
0.08% of total
775
Protected Accounts
7.75% of total
3 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 |
|---|---|---|---|
| @Estaelsias | 166,463 | Meteorologista | Meteorology, Storms, Weather Forecasting |
| @studie_bijbel | 146,319 | Traveler | Travel, Culture, People |
| @WeDontHaveTime | 133,162 | Climate Activist | climate solutions, tree planting, review platform |
| @nieuwelente | 41,264 | - | - |
| @marcopverhoef | 33,293 | - | - |
| @gensan2525 | 26,600 | - | - |
| @Ingeborgvraagt | 22,921 | - | - |
| @AbdugheniSabit | 17,589 | - | - |
| @Fleurcompassion | 15,815 | - | - |
| @KooyJan | 15,666 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,050
Followers With Bio
6,950
Followers Without Bio
30.5%
% With Bio
69.5%
% 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 3,249 analyzed1,074
Combined Engagement
283
Total Likes
791
Total Retweets
215
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @BioBauerJosef: #Tornado #Zeeland #Zierikzee https://t.co/mBUsGMkdOV
We adviseren om komende tijd geen hout te stoken! ⚠️ https://t.co/Iz46aWBS0m
Waarom is hout stoken slecht voor de gezondheid? https://t.co/OUe6r3aqgg
Het mistige uitzicht van Rotterdam 😍 Pas aan het eind van de ochtend trekt de mist op en breekt op meer plaatsen de zon door. 📸: Nikki Sonneveld https://t.co/v0bi3iYUUN
De luchtkwaliteit zal de komende dagen verslechteren ⬇️ https://t.co/ZWqTlL9nMJ
Key Insights & Takeaways
The account uses hashtags effectively to categorize content and encourage user participation. Educational content, such as the post about burning wood, generates interest and awareness. Visual content, like the misty view of Rotterdam, drives engagement and shares.
Strengths
- + Established follower base of 67,810
- + 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 @weeronline reveals an growing Twitter presence with 67,810 followers. The account demonstrates a content-creator strategy, averaging 5.8 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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