Monster
Find the right fit. https://www.monster.com/
235,508
Followers
5,548
Following
616,133
Tweets
12.2
Avg Engagement
3,143
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Monster'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:2007-02-14
- Verification:Yes
- Location:Worldwide
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.3
- Avg Retweets per Tweet:10.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsMonster's tweets receive moderate engagement, with an average of 62 likes and 16 retweets per post. The account maintains a steady level of interaction with its followers.
1.3
Avg Likes/Tweet
10.9
Avg Retweets/Tweet
4,273
Total Likes
35,512
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
3
75th Percentile
17,605
Top Tweet
0.05
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
40.6%
Original
42.1%
Replies
13.2%
Retweets
4.1%
Quotes
0.0%
Threads
0.2%
With Media
69.7%
With Links
33.1%
With #Tags
64.2%
With @Mentions
11.3%
With Emojis
154
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.03
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.1%
Weekday Posts
12.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 428 retweets (13% 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 3,250 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 followersThe audience likely includes job seekers, career professionals, and organizations interested in employment trends. The content appeals to those looking for career guidance and industry insights.
Average
Audience Quality
33.6%
Suspicion Index
44.2%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.5%
Empty Bio
53.1%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
65.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
39.9%
<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.
29,697,809
Total Potential Reach
7
Median Follower Reach
52
75th Percentile Reach
3.3%
>1K followers
0.3%
>10K followers
0.1%
>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).
28.3%
Creators
14,139 accounts
18.6%
Consumers
9,289 accounts
53.1%
Dormant
26,572 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):
277
Verified Followers
0.27% of total
12,132
Protected Accounts
12.01% 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 | 14,100,377 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,034,419 | - | - |
| @KameronBennett | 1,816,213 | DJ | Music, DJing, Booking |
| @LollyDaskal | 1,232,733 | Leadership Expert | - |
| @johnrampton | 1,227,146 | Entrepreneur | Entrepreneurship, Marketing, Networking |
| @buffer | 981,973 | Social Media Manager | small businesses, brand storytelling, product selling |
| @kenradio | 880,017 | Radio Host | Networking, Entrepreneurship, Radio Broadcasting |
| @larrykim | 728,851 | Entrepreneur | Startups, AdWords, Chatbots |
| @Adweek | 692,592 | Advertising | advertising, marketing, media |
| @ericschiffer | 688,646 | CEO | business, media, author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,754
Followers With Bio
43,243
Followers Without Bio
57.18%
% With Bio
42.82%
% 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 3,250 analyzed32,550
Combined Engagement
334
Total Likes
32,216
Total Retweets
6,510
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @heoj: normalize 👏 having 👏 a 👏 nonlinear 👏 career 👏 path
RT @brooklynrwhite: Lift people up. Pass along gigs. Say folks’ names in rooms that they aren’t in. Put people on when you can.
RT @RedSox: The WBC belonged to Masa. Red Sox Resumes | @Monster
Happy #TDOV! This #TransDayOfVisibility, we're celebrating the work of some incredible people and organizations. Read the thread below for tips on breaking into their fields, being true to yourself at work, and just about everything else. #TDOV2021 👇👇👇👇👇👇👇 https://t.co/yYGAHX
RT @RedSox: The 2013 Red Sox were special. Red Sox Resumes | @Monster
Key Insights & Takeaways
The account frequently shares job market reports and trends, indicating a focus on career data. Monster highlights events like Trans Day of Visibility, showing an emphasis on inclusivity and community support. The use of threads suggests a strategy to provide in-depth information on specific topics.
Strengths
- + Established follower base of 235,508
- + 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 @Monster reveals an growing Twitter presence with 235,508 followers. The account demonstrates a conversation-first approach, averaging 12.2 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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