San Bernardino County Fire
The Official Twitter Page for San Bernardino County Fire Protection District.
70,248
Followers
360
Following
11,527
Tweets
43.3
Avg Engagement
741
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SBCOUNTYFIRE'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:2011-06-01
- Verification:No
- Location:San Bernardino County
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:27.0
- Avg Retweets per Tweet:16.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,197 tweetsEach tweet typically receives around 520 likes and 165 retweets, indicating a highly engaged audience. The account's verified status at 0.7% suggests a mix of public and official accounts following.
27.0
Avg Likes/Tweet
16.3
Avg Retweets/Tweet
86,412
Total Likes
52,085
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
7
Median Retweets
48
75th Percentile
3,835
Top Tweet
0.62
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
69.8%
Original
2.1%
Replies
23.4%
Retweets
4.7%
Quotes
0.0%
Threads
2.7%
With Media
73.3%
With Links
60.7%
With #Tags
43.5%
With @Mentions
16.0%
With Emojis
218
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.8%
Weekday Posts
22.2%
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 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 749 retweets (23% 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 includes residents of San Bernardino County and surrounding areas, as well as emergency responders and media outlets. The content is also shared with the general public interested in wildfire updates.
Average
Audience Quality
32.6%
Suspicion Index
48.7%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.4%
Empty Bio
48.5%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
61.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.8%
No URL
38.0%
<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.
3,043,125
Total Potential Reach
6
Median Follower Reach
48
75th Percentile Reach
3.2%
>1K followers
0.3%
>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).
32.3%
Creators
3,229 accounts
19.2%
Consumers
1,918 accounts
48.5%
Dormant
4,853 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):
73
Verified Followers
0.73% of total
1,166
Protected Accounts
11.66% 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 |
|---|---|---|---|
| @NOH8Campaign | 798,972 | Activism | equality, bullying, discrimination |
| @davenewworld_2 | 289,276 | Reporter | Racism, Reporting, Media |
| @JoshuaTreeNPS | 122,386 | Park Ranger | Desert, Scenic Beauty, Cultural History |
| @KFIAM640 | 58,876 | Radio Host | News, Talk, Radio |
| @kindtraveler | 47,833 | Travel Influencer | Travel, Social Impact, Community |
| @CyFi10 | 32,881 | - | - |
| @michaeldsee | 29,553 | - | - |
| @LaurenLyster | 20,142 | - | - |
| @gtwhitesides | 19,313 | - | - |
| @IsaacOrloff | 19,300 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,056
Followers With Bio
5,944
Followers Without Bio
40.56%
% With Bio
59.44%
% 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 analyzed7,659
Combined Engagement
2,456
Total Likes
5,203
Total Retweets
1,532
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @CALFIREBDU: CAL FIRE Law Enforcement has determined the El Dorado Fire, burning near Oak Glen in San Bernardino County, was caused by a smoke generating pyrotechnic device, used during a gender reveal party. The fire began at… https://t.co/w62ZRuBdNJ
Timelapse of the #ElDoradoFire from this afternoon near North Bench Yucaipa. @SanBernardinoNF @CALFIREBDU https://t.co/uHOmlnkdID
#ElDoradoFire - Day 3: #SBCoFD Captain Don Whitesell and his crew battled a wall of flames overnight saving Oak Tree Village in Oak Glen. Working on 3 hours of sleep in the previous 40 hours, crews protected residents, businesses and a petting zoo. @SanBernardinoNF @CALFIREBDU ht
Firefighters made a hard stance today on the #ElDoradoFire in Forest Falls and Mountain Home Village, saving numerous homes. The wind driven fire has increased fire activity and prompted additional evacuations. @SanBernardinoNF @CALFIREBDU @sbcountysheriff @CHPInland https://t.co
RT @NWSSanDiego: A Blizzard Warning, the first issued by this office, is now in effect for the San Bernardino County Mountains from 4 AM Friday to 4 PM Saturday. Travel will be VERY DIFFICULT TO IMPOSSIBLE due to the extremely heavy snow and extremely high winds expected. #CA
Key Insights & Takeaways
The account frequently shares timelapse videos and real-time updates on wildfires, which helps keep the audience informed and engaged. Collaboration with other fire agencies like @SanBernardinoNF and @CALFIREBDU enhances credibility and reach. Emphasis on firefighter efforts and community protection highlights the account's role in public safety communication.
Strengths
- + Established follower base of 70,248
- + 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 @SBCOUNTYFIRE reveals an growing Twitter presence with 70,248 followers. The account demonstrates a content-creator strategy, averaging 43.3 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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