Philip Klotzbach
Meteorologist at CSU specializing in Atlantic basin seasonal hurricane forecasts. Avid runner, cyclist and hiker. Appalachian Trail thru-hiker in 2002.
61,890
Followers
1,196
Following
12,297
Tweets
144.7
Avg Engagement
1,863
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @philklotzbach'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:2009-07-19
- Verification:No
- Location:Colorado
Data Summary
- Tweets Analyzed:3,205
- Avg Likes per Tweet:102.6
- Avg Retweets per Tweet:42.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,205 tweetsHis tweets typically receive a high number of likes and retweets, showing strong audience interaction. The engagement suggests that his content is both informative and timely.
102.6
Avg Likes/Tweet
42.1
Avg Retweets/Tweet
328,821
Total Likes
134,840
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
68
Median Likes
22
Median Retweets
192
75th Percentile
3,409
Top Tweet
2.34
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.9%
Original
27.6%
Replies
1.0%
Retweets
0.5%
Quotes
0.0%
Threads
0.0%
With Media
78.0%
With Links
69.6%
With #Tags
20.7%
With @Mentions
0.1%
With Emojis
206
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.9%
Weekday Posts
17.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,205 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 32 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 3,205 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 followersHis audience includes weather enthusiasts, students, and professionals interested in meteorology and hurricane tracking. The content is also appealing to general audiences looking for updates on severe weather events.
Average
Audience Quality
26.0%
Suspicion Index
29.2%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.2%
Empty Bio
22.9%
<10 Tweets
20.1%
Mass Following (>2K)
0.0%
New (<90 days)
52.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.7%
No URL
15.2%
<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.
25,818,286
Total Potential Reach
56
Median Follower Reach
248
75th Percentile Reach
7.9%
>1K followers
1.1%
>10K followers
0.3%
>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).
58.1%
Creators
5,810 accounts
19.0%
Consumers
1,904 accounts
22.9%
Dormant
2,286 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):
170
Verified Followers
1.7% of total
1,247
Protected Accounts
12.47% of total
6 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 | 14,075,991 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jdickerson | 1,906,515 | Journalist | News, Politics, Journalism |
| @NOH8Campaign | 799,276 | Activism | equality, bullying, discrimination |
| @perpetuok | 507,192 | Artist | Democracy, Freedom, Animals |
| @GeoRebekah | 411,436 | Scientist | Nat hazards, climate, COVID19 |
| @MaggieHeroDog | 403,850 | Service Dog | Golf, Music, Service Dogs |
| @StephenCaggiano | 341,985 | Content Creator | Content creation, Access, Resource for creators |
| @davenewworld_2 | 289,138 | Reporter | Racism, Reporting, Media |
| @Laurie_Garrett | 246,484 | Journalist | Global health, Journalism, Author |
| @parytaim | 237,255 | Event Planner | Music, Comedy, Events |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,679
Followers With Bio
4,321
Followers Without Bio
56.79%
% With Bio
43.21%
% 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 3,205 analyzed11,675
Combined Engagement
7,682
Total Likes
3,993
Total Retweets
2,335
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
The Atlantic currently has three named storms (#Dorian, #Fernand and #Gabrielle). This is the 4th year in a row that we have had 3+ named storms simultaneously at some point during the #hurricane season. During 2013-2015, there were 0 occurrences of 3+ storms simultaneously. ht
#Laura has rapidly intensified & now forecast to reach Category 4 #hurricane intensity. Since 1950, there have been 7 August Category 4+ hurricanes in the Gulf of Mexico: Camille (1969), Allen (1980), Andrew (1992), Bret (1999), Charley (2004), Katrina (2005), Harvey (2017)
For the first time since 1941, the Atlantic has had no named storm (e.g., tropical storm or #hurricane) activity from July 3rd-August 30th. https://t.co/9taf4ShfvV
#Laura continues to strengthen and is now a Category 4 #hurricane with max winds of 140 mph. Laura is now the strongest August hurricane in the Gulf of Mexico since Katrina (2005). #HurricaneLaura https://t.co/U9uR7SUcMn
#Bret has formed in the central tropical Atlantic - the farthest east that a tropical storm has formed in the tropical Atlantic (south of 23.5°N) this early in the calendar year on record. https://t.co/tx43WbHh8V
Key Insights & Takeaways
Philklotzbach frequently highlights current hurricane activity and its historical context. He provides data-driven insights on seasonal trends and storm intensification. His tweets often reference past events to draw comparisons and emphasize patterns.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 61,890
- + 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 @philklotzbach reveals an well-established Twitter presence with 61,890 followers. The account demonstrates a content-creator strategy, averaging 144.7 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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