Chris Bailey❄️🥶
WKYT Chief Meteorologist. I'm a UK, Reds and Bengals kinda guy. #BBN #WhoDey
115,918
Followers
2,709
Following
156,244
Tweets
34.5
Avg Engagement
503
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kentuckyweather'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:2009-04-01
- Verification:No
- Location:Lexington, Kentucky
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:19.6
- Avg Retweets per Tweet:14.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsThe account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active follower base.
19.6
Avg Likes/Tweet
14.9
Avg Retweets/Tweet
63,237
Total Likes
48,152
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
17
75th Percentile
8,519
Top Tweet
0.3
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
25.4%
Original
8.4%
Replies
64.5%
Retweets
1.7%
Quotes
0.0%
Threads
2.9%
With Media
72.4%
With Links
34.0%
With #Tags
73.1%
With @Mentions
7.5%
With Emojis
132
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.3%
Weekday Posts
30.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 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 2,085 retweets (65% 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 3,232 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 audience is primarily from Kentucky and surrounding areas, with a strong interest in sports and local culture.
Average
Audience Quality
26.6%
Suspicion Index
40.1%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
37.3%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
44.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
27.6%
<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.
24,305,160
Total Potential Reach
23
Median Follower Reach
147
75th Percentile Reach
4.9%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
42.6%
Creators
4,265 accounts
20.0%
Consumers
2,002 accounts
37.3%
Dormant
3,733 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):
122
Verified Followers
1.22% of total
993
Protected Accounts
9.93% 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 | 14,093,763 | Wrestler | Wrestling, Motivation, Self-promotion |
| @StephanieAbrams | 1,950,867 | Meteorologist | Weather, Meteorology, Morning TV |
| @LeBronJames | 1,005,154 | - | - |
| @rawsalerts | 567,283 | - | - |
| @OccupyDemocrats | 551,941 | Political Activist | Progressive, Grassroots, Politics |
| @Reflog_18 | 545,146 | - | - |
| @zammit_marc | 386,563 | Filmmaker | Film, Acting, Producing |
| @RTNBA | 348,374 | Sports Analyst | news, rumors, analysis |
| @islivingston | 335,445 | - | - |
| @schadjoe | 235,377 | Sports Journalist | Miami Dolphins, Journalist, Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,736
Followers With Bio
5,264
Followers Without Bio
47.36%
% With Bio
52.64%
% 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 3,232 analyzed27,643
Combined Engagement
4,018
Total Likes
23,625
Total Retweets
5,529
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @rawsalerts: 🚨#BREAKING: A Confirmed large and extremely violent tornado is on the ground 📌#Sigourney | #Iowa The National weather service has issues a PDS tornado warning meaning particular Dangerous situation as a confirmed large and extremely violent tornado is on the gro
RT @BSSportsbook: Game Respect Game https://t.co/q4KgdoOzSz
The same Ron Torbet led officiating crew that hosed the Bengals tonight also made this call against the Bengals late in last year’s Super Bowl. #RuleThePlayoffs https://t.co/9l9F1KM5BJ
RT @rawsalerts: 🚨#BREAKING: Damaging Tornado touches down near downtown Los Angeles 📌#Montebello | #California Watch as a extremely rare damaging tornado touches down in Montebello California about 8 miles from downtown Los Angeles as Debris flies in the air the air reports of
RT @BostonIndycar: Huge block in the back missed by NFL rigged refs. Bottom of the screen at the 45. Insane. https://t.co/md9SN604lc
Key Insights & Takeaways
The account frequently references local sports teams and events, which helps build a sense of community. Engagement is driven by a mix of weather updates and sports-related content, which resonates with the audience. The use of hashtags and local slang enhances relatability and fosters a sense of belonging among followers.
Strengths
- + Established follower base of 115,918
- + 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 @Kentuckyweather reveals an growing Twitter presence with 115,918 followers. The account demonstrates a content-creator strategy, averaging 34.5 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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