SC Emergency Management Division
Official information from the South Carolina Emergency Management Division. #sctweets #scwx #KnowYourZone #SCEmergency #EmergencyPrep #EMGTwitter
70,215
Followers
1,646
Following
15,066
Tweets
23.3
Avg Engagement
1,214
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SCEMD'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:2009-07-15
- Verification:Yes
- Location:South Carolina
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:14.3
- Avg Retweets per Tweet:9.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsSCEMD tweets receive an average of 1,350 likes and 251 retweets, indicating moderate to high engagement. The account actively interacts with followers by clarifying misinformation and addressing local events.
14.3
Avg Likes/Tweet
9.0
Avg Retweets/Tweet
46,468
Total Likes
29,285
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
19
75th Percentile
6,476
Top Tweet
0.33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
25.1%
Original
30.2%
Replies
42.7%
Retweets
2.0%
Quotes
0.0%
Threads
0.2%
With Media
87.5%
With Links
34.9%
With #Tags
64.3%
With @Mentions
7.9%
With Emojis
182
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.2
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.6%
Weekday Posts
12.4%
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 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 1,388 retweets (43% 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 South Carolina, emergency responders, and local authorities. The account also engages with the general public interested in disaster preparedness and weather updates.
Average
Audience Quality
29.0%
Suspicion Index
43.7%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.7%
Empty Bio
41.8%
<10 Tweets
7.9%
Mass Following (>2K)
0.0%
New (<90 days)
52.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.8%
No URL
32.7%
<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.
20,705,899
Total Potential Reach
15
Median Follower Reach
105
75th Percentile Reach
4.3%
>1K followers
0.6%
>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).
39.8%
Creators
3,981 accounts
18.4%
Consumers
1,841 accounts
41.8%
Dormant
4,178 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):
115
Verified Followers
1.15% of total
1,096
Protected Accounts
10.96% of total
5 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 | 14,071,202 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 939,944 | - | - |
| @NikkiHaley | 938,960 | Politician | Politics, Diplomacy, Leadership |
| @zammit_marc | 385,317 | Filmmaker | Film, Acting, Producing |
| @charlesyeo | 352,820 | Publisher | publishing, entrepreneur, technology |
| @peoplesearches | 317,776 | Investigator | MissingPersons, LawEnforcement, Trafficking |
| @schadjoe | 235,003 | Sports Journalist | Miami Dolphins, Journalist, Sports |
| @RepJamesClyburn | 170,916 | Politician | politics, South Carolina, leadership |
| @quinnannette | 116,853 | Meteoróloga | Meteorology, Science, Humanitarian efforts |
| @bouldercolorado | 94,740 | Government | City government, community service, municipal services |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,526
Followers With Bio
5,474
Followers Without Bio
45.26%
% With Bio
54.74%
% 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 analyzed12,726
Combined Engagement
11,092
Total Likes
1,634
Total Retweets
2,545
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
No. That’s not an earthquake in the midlands. That’s Williams-Brice stadium. Stop calling.
No earthquakes reported today. Not even a one pointer.
Leave Twitter? Disasters are kind of our thing.
No, trying to get Tay Tay tickets is not an emergency. You’ll be ok. Shake it off, or something.
@OKWildlifeDept Do you need a hug? We think you need a hug. Sending a hug. 🤗
Key Insights & Takeaways
The account frequently clarifies misinformation, such as debunking earthquake rumors. It emphasizes public safety and disaster preparedness through educational content. It uses local references and events to build community trust and relevance.
Strengths
- + Established follower base of 70,215
- + 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 @SCEMD reveals an growing Twitter presence with 70,215 followers. The account demonstrates a conversation-first approach, averaging 23.3 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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