NS online
Het NS-account waar we je op de hoogte houden van de belangrijkste reisinfo & waar ons webcare team tussen 7.00u en 23.00u voor je klaarstaat.
262,618
Followers
8,856
Following
1,708,124
Tweets
0.8
Avg Engagement
1,295
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NS_online'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: Macro Influencer (100K+)
- Account Age:2010-03-09
- Verification:Yes
- Location:Utrecht
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:0.7
- Avg Retweets per Tweet:0.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsThe account sees an average of 85 likes and 13 retweets per tweet, indicating moderate engagement with its content.
0.7
Avg Likes/Tweet
0.1
Avg Retweets/Tweet
2,348
Total Likes
212
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
440
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
4.6%
Original
95.4%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.1%
With Media
21.6%
With Links
6.0%
With #Tags
93.2%
With @Mentions
4.9%
With Emojis
156
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
20.77
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
80.3%
Weekday Posts
19.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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.
Posting Patterns & Optimal Timing
Based on 3,244 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 50,000 followersThe primary audience is Dutch travelers and commuters, with a focus on those using NS trains for long-distance travel.
Average
Audience Quality
32.0%
Suspicion Index
47.9%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.0%
Empty Bio
51.6%
<10 Tweets
3.0%
Mass Following (>2K)
0.0%
New (<90 days)
61.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
40.9%
<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.
8,977,972
Total Potential Reach
4
Median Follower Reach
44
75th Percentile Reach
2.7%
>1K followers
0.2%
>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).
31.2%
Creators
15,579 accounts
17.3%
Consumers
8,641 accounts
51.6%
Dormant
25,780 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):
156
Verified Followers
0.16% of total
11,188
Protected Accounts
11.19% of total
7 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 |
|---|---|---|---|
| @zlj517 | 1,985,522 | Spokesman | Geopolitics, Diplomacy, Communication |
| @leandraleal | 1,030,731 | Inventor | invento, eu |
| @telegraaf | 787,308 | News outlet | News, Journalism, Tips |
| @Iraqesque | 582,659 | Cultural commentator | Culture, History, Traditions |
| @AlexanderNL | 495,435 | Entrepreneur | technology, entrepreneurship, education |
| @ZimEye | 419,301 | Journalist | Zimbabwe, Africa, Journalism |
| @parool | 390,086 | News Outlet | Nieuws, Amsterdam, Opinie |
| @AMBER_Alert_NL | 372,724 | Alert System | missing children, emergency alerts, child safety |
| @LodewijkA | 351,479 | Politician | politics, leadership, innovation |
| @abbasaldhaleai | 319,104 | Writer/Journalist | writing, journalism, Yemen |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,101
Followers With Bio
53,899
Followers Without Bio
46.1%
% With Bio
53.9%
% 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 3,244 analyzed863
Combined Engagement
779
Total Likes
84
Total Retweets
173
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Vanochtend heeft onze nieuwe Intercity #ICNG z’n eerste testritten gemaakt in de dienstregeling tussen Amsterdam en Rotterdam 🤩 De generale repetitie. Heb je ‘m al gespot? https://t.co/JjgzYG43z0 https://t.co/h5fiuAf1lc
Nieuwe NS-Intercity debuteert tussen Amsterdam en Rotterdam https://t.co/ef21a0NPWa
Een stoelreservering wordt verplicht van 17-06 t/m 18-08 2023 voor reizigers van en naar Duitsland op de ICE International. Ook Interrail en Eurail reizigers kunnen dus mee met de ICE (met reservering). Zo houden we de ICE comfortabel voor iedereen. https://t.co/gTmkqZNBzn
Reactie Wouter Koolmees op treinongeval bij Voorschoten https://t.co/LBnJna4u4B
@TFrenkiel @tepeltwist Dat is niet toegestaan tenzij anders aangegeven, je riskeert dan een boete. Het is ook niet eerlijk tegenover de reiziger die wel extra voor de 1e klas betaalt. ^OJ
Key Insights & Takeaways
The account frequently shares updates about new train services and routes. It highlights important travel changes and regulations, such as seat reservations. It uses hashtags and links to drive traffic and increase visibility.
Strengths
- + Established follower base of 262,618
- + 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 @NS_online reveals an growing Twitter presence with 262,618 followers. The account demonstrates a conversation-first approach, averaging 0.8 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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