Nova Scotia Gov.
Official Nova Scotia Government Twitter Account
123,586
Followers
160
Following
24,972
Tweets
31.8
Avg Engagement
695
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @nsgov'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:2009-03-19
- Verification:Yes
- Location:Nova Scotia, Canada
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:19.2
- Avg Retweets per Tweet:12.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account shows moderate to high engagement, with an average of 561 likes and 193 retweets per tweet. The verified status at 0.5% suggests a small portion of the audience are verified accounts.
19.2
Avg Likes/Tweet
12.5
Avg Retweets/Tweet
62,480
Total Likes
40,768
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
5
Median Retweets
34
75th Percentile
1,346
Top Tweet
0.26
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
50.2%
Original
30.6%
Replies
17.0%
Retweets
2.2%
Quotes
0.0%
Threads
0.3%
With Media
86.0%
With Links
6.5%
With #Tags
29.9%
With @Mentions
1.0%
With Emojis
163
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.61
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.8%
Weekday Posts
4.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 552 retweets (17% 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 3,250 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 includes residents of Nova Scotia, government officials, and media outlets. The content is likely of interest to those seeking public service updates and policy information.
Below Average
Audience Quality
35.3%
Suspicion Index
57.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.3%
Empty Bio
58.0%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
60.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.1%
No URL
48.0%
<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.
15,885,767
Total Potential Reach
4
Median Follower Reach
29
75th Percentile Reach
2.6%
>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).
24.7%
Creators
2,470 accounts
17.3%
Consumers
1,726 accounts
58.0%
Dormant
5,804 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):
48
Verified Followers
0.48% of total
685
Protected Accounts
6.85% 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 |
|---|---|---|---|
| @JohnCena | 14,093,686 | Wrestler | Wrestling, Motivation, Self-promotion |
| @redcrosscanada | 159,350 | Humanitarian | Humanitarian, Disaster Relief, Resilience |
| @CFSnowbirds | 80,664 | Pilots | Aviation, Demonstration, Canadian Forces |
| @hareshdudhat | 56,067 | - | - |
| @roslemusmartin | 46,057 | Medical Affairs | Medical Affairs, Molecular Oncology, AI |
| @Stephjd420 | 42,647 | - | - |
| @FuturFlo | 40,633 | - | - |
| @Captbobdad | 39,964 | - | - |
| @HeckticTravels | 33,879 | - | - |
| @JamesVanFleet | 27,730 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,369
Followers With Bio
6,631
Followers Without Bio
33.69%
% With Bio
66.31%
% 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 3,250 analyzed4,437
Combined Engagement
3,520
Total Likes
917
Total Retweets
887
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Nova Scotia has designated September 19, 2022, a provincial holiday https://t.co/ipBNrdF1Jw https://t.co/cKdX4l4DhV
Dr. Robert Strang Mayflower Award for Healthcare Professionals https://t.co/bC7aEx0kW4 https://t.co/HhhBJ28oKM
Nova Scotia remembers April 18 and 19. Please join us in observing a moment of silence at noon today and tomorrow, to remember those lost, honour the survivors and reflect on the events of two years ago. https://t.co/gpAoTQUexI
Truth and Reconciliation Day Recognized in Nova Scotia https://t.co/e0e0SBD4Zi https://t.co/JvWdgRfGXr
Mask Requirement Remains in Public Schools https://t.co/D9Rq3STLae https://t.co/Zkcjo1UEds
Key Insights & Takeaways
The account frequently shares important provincial announcements and events, such as designated holidays and memorials. It highlights awards and recognitions, such as the Dr. Robert Strang Mayflower Award for Healthcare Professionals. The content often includes links to additional resources or information, indicating a focus on transparency and public awareness.
Strengths
- + Established follower base of 123,586
- + 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 @nsgov reveals an growing Twitter presence with 123,586 followers. The account demonstrates a content-creator strategy, averaging 31.8 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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