Kimberly Klacik
KIM KLACIK LIVE M-F 9amET to 12pmET on @wcbm680 | Red Renaissance | Republican 👠
540,859
Followers
4,110
Following
48,803
Tweets
866.9
Avg Engagement
1,199
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kimKBaltimore'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:2013-03-11
- Verification:No
- Location:Mary Land
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:372.4
- Avg Retweets per Tweet:494.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,227 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content often includes links to news and media, which drives engagement.
372.4
Avg Likes/Tweet
494.5
Avg Retweets/Tweet
1,201,796
Total Likes
1,595,804
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
12
Median Retweets
388
75th Percentile
67,137
Top Tweet
1.6
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
28.4%
Original
43.3%
Replies
22.3%
Retweets
6.0%
Quotes
0.0%
Threads
0.4%
With Media
34.8%
With Links
7.8%
With #Tags
77.8%
With @Mentions
23.3%
With Emojis
120
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.52
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 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 719 retweets (22% 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 3,227 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 50,000 followersHer audience includes followers interested in local politics, news, and public reactions to current events. The engagement suggests a mix of political and general interest content resonates with her audience.
Average
Audience Quality
23.3%
Suspicion Index
30.8%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.3%
Empty Bio
19.1%
<10 Tweets
13.3%
Mass Following (>2K)
0.0%
New (<90 days)
48.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
12.3%
<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.
40,846,854
Total Potential Reach
41
Median Follower Reach
198
75th Percentile Reach
8.9%
>1K followers
0.6%
>10K followers
0.1%
>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).
60.8%
Creators
30,413 accounts
20.1%
Consumers
10,029 accounts
19.1%
Dormant
9,558 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):
3,620
Verified Followers
3.58% of total
6,482
Protected Accounts
6.42% of total
3 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 | 14,105,362 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DonaldJTrumpJr | 9,826,642 | Businessman | Father, Outdoorsman, Boardroom Advisor |
| @tedcruz | 5,984,070 | Politician | Fatherhood, Liberty, Texas |
| @CryptoWeb3_NFT | 4,364,197 | - | - |
| @LouDobbs | 2,390,514 | Journalist | News, Politics, Business |
| @KapilMishra_IND | 1,405,162 | Politician | BJP, Hindu, Unity |
| @Project_Veritas | 1,133,280 | Investigative journalism | investigative journalism, whistleblowers, truth |
| @ericbolling | 1,128,488 | TV Host | News, Politics, Media |
| @Paula_White | 1,087,151 | Pastor | God, Strength, Faith |
| @ThisIsKyleR | 1,037,420 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,085
Followers With Bio
47,914
Followers Without Bio
52.56%
% With Bio
47.44%
% 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 3,227 analyzed252,033
Combined Engagement
120,453
Total Likes
131,580
Total Retweets
50,407
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @davidzweig: 1. THREAD: THE TWITTER FILES: HOW TWITTER RIGGED THE COVID DEBATE – By censoring info that was true but inconvenient to U…
https://t.co/E8BY1HYX4Y
Baltimore City Mayor’s response to a 7 year old being shot & killed. Yes, this is actually the Mayor. Unbelievable. https://t.co/EH6PAw4qOb
Who made this? 😂 https://t.co/pDptC9zgqw
RT @CollinRugg: No protests. No Greta. No Biden. No AOC. No Al Gore. Where are the so called environmentalists for East Palestine? https:/…
Key Insights & Takeaways
Her account is heavily focused on local news and public reactions to events, particularly in Baltimore. She frequently shares links to news articles and media, suggesting a strategy to drive traffic and engagement. Her verified status and political affiliation indicate a deliberate effort to build credibility and influence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 540,859
- + 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 @kimKBaltimore reveals an well-established Twitter presence with 540,859 followers. The account demonstrates a conversation-first approach, averaging 866.9 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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