CareerBuilder for Employers
HR Technology from Hello to Hire™
62.116
Followers
4.851
Following
24.501
Tweets
5,5
Avg Engagement
1.190
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CBforEmployers'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:2008-05-22
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3.215
- Avg Likes per Tweet:3,2
- Avg Retweets per Tweet:2,3
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.215 tweetsThe account maintains consistent engagement with its followers, indicating a loyal and active audience. The average likes and retweets suggest a moderate to high level of interaction with the content.
3,2
Avg Likes/Tweet
2,3
Avg Retweets/Tweet
10.358
Total Likes
7.354
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
6
75th Percentile
216
Top Tweet
0,09
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
81,5%
Original
6,9%
Replies
9,8%
Retweets
1,7%
Quotes
0,0%
Threads
0,1%
With Media
89,8%
With Links
39,9%
With #Tags
36,2%
With @Mentions
6,8%
With Emojis
163
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,09
Reply/Original Ratio
0,18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85,4%
Weekday Posts
14,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.215 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 316 retweets (10% 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 3.215 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 likely includes HR professionals, hiring managers, and business leaders interested in recruitment and workplace efficiency. They are seeking actionable insights and tech solutions for hiring processes.
Average
Audience Quality
23,7%
Suspicion Index
24,0%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31,9%
Empty Bio
25,5%
<10 Tweets
18,8%
Mass Following (>2K)
0,0%
New (<90 days)
45,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
68,9%
No URL
16,1%
<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.
7.012.795
Total Potential Reach
47
Median Follower Reach
213
75th Percentile Reach
6,8%
>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).
50,1%
Creators
5.006 accounts
24,4%
Consumers
2.443 accounts
25,5%
Dormant
2.551 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):
60
Verified Followers
0.6% of total
1.206
Protected Accounts
12.06% of total
7 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 |
|---|---|---|---|
| @larrykim | 725.274 | Entrepreneur | Startups, AdWords, Chatbots |
| @solalexasch | 680.522 | Musician | Music, Travel, Tattoos |
| @AxelKoster | 594.395 | Recruiter | Global Executive Recruitment, Strategy, Cycling |
| @DrAnthony | 445.694 | Doctor | Work, Stuff |
| @IamCvind | 255.041 | Musicians | Music, Parenting, Marketing |
| @MSFT_Business | 215.391 | Technology Consulting | Technology, Business Transformation, Thought Leadership |
| @CareerArc | 120.760 | Recruitment | socialrecruiting, employerbrand, talkHR |
| @Asad_Ashah | 68.574 | - | - |
| @MichelleRhee | 67.516 | Education Advocate | Education, Advocacy, Reform |
| @jjbuss | 59.229 | Talent Acquisition | Talent Acquisition, Blogging, Founder |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.807
Followers With Bio
3.193
Followers Without Bio
68.07%
% With Bio
31.93%
% 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 3.215 analyzed818
Combined Engagement
632
Total Likes
186
Total Retweets
164
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Have you taken a look at your job descriptions lately? What do you need to change to set the right expectations? https://t.co/GLAKnnDwc0
"If you want to lift yourself up, lift up someone else." -Booker T. Washington Pass it on! #WednesdayWisdom https://t.co/F2qyBhjVC6
That's all. https://t.co/Rn7RYxbmac
The struggle is real. https://t.co/URGTBwNS6Z
Charles Schwab's CEO takes candidates out for a breakfast interview & asks the restaurant to mess up their order... https://t.co/C5UplCKquw
Key Insights & Takeaways
The account often highlights the importance of reviewing and improving job descriptions to set clear expectations. It uses concise and impactful tweets to convey key messages, often with a touch of humor or relatability. It emphasizes real challenges in the hiring process, resonating with its audience's experiences.
Strengths
- + Established follower base of 62.116
- + 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 @CBforEmployers reveals an growing Twitter presence with 62.116 followers. The account demonstrates a content-creator strategy, averaging 5,5 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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