190,543
Followers
2,695
Following
9,483
Tweets
88.2
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ZROMOCITYDON'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:2010-05-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,160
- Avg Likes per Tweet:57.5
- Avg Retweets per Tweet:30.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,160 tweetsTheir tweets typically receive a high number of likes and retweets, indicating a strong and active community around their content.
57.5
Avg Likes/Tweet
30.7
Avg Retweets/Tweet
181,752
Total Likes
96,896
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
8
Median Retweets
80
75th Percentile
3,957
Top Tweet
0.46
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
52.2%
Original
39.8%
Replies
7.3%
Retweets
0.6%
Quotes
0.0%
Threads
0.7%
With Media
45.3%
With Links
35.5%
With #Tags
65.8%
With @Mentions
11.9%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.76
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,160 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 232 retweets (7% 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 3,160 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 followersTheir audience appears to be young adults and teenagers who enjoy internet culture, memes, and casual conversations.
Average
Audience Quality
27.5%
Suspicion Index
33.4%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.5%
Empty Bio
35.4%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
58.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
25.3%
<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.
49,215,148
Total Potential Reach
18
Median Follower Reach
108
75th Percentile Reach
3.9%
>1K followers
0.5%
>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).
43.1%
Creators
21,546 accounts
21.5%
Consumers
10,754 accounts
35.4%
Dormant
17,700 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):
345
Verified Followers
0.34% of total
10,836
Protected Accounts
10.73% 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 |
|---|---|---|---|
| @JohnCena | 14,100,197 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JJWatt | 5,665,983 | Athlete | Dreaming, Working, Football |
| @XXL | 4,841,913 | Magazine | Hip-Hop, Music, Culture |
| @HoustonRockets | 3,249,190 | Sports Team | Basketball, Houston, NBA |
| @6BillionPeople | 2,033,681 | - | - |
| @KameronBennett | 1,819,071 | DJ | Music, DJing, Booking |
| @HotNewHipHop | 1,602,387 | Media | hip-hop, songs, news |
| @JDaIey | 1,230,364 | - | - |
| @NowHipHopNews_ | 1,060,118 | - | - |
| @DustinPoirier | 1,057,536 | MMA Fighter | MMA, Fatherhood, Ninja |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,000
Followers With Bio
44,999
Followers Without Bio
55.45%
% With Bio
44.55%
% 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 3,160 analyzed14,179
Combined Engagement
9,076
Total Likes
5,103
Total Retweets
2,836
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
GOD got me...
Ion really move too much, but I be havin fun tho! #Pressure https://t.co/Woad7BNVkp
#44 https://t.co/TMEJxeJSi4
https://t.co/7IB9bVtCAh
Mo City where y'all at? Lol https://t.co/XNJBSaeRJ7
Key Insights & Takeaways
They use slang and internet culture to connect with their audience Their content is relatable and humorous, encouraging interaction They often share personal experiences and light-hearted moments
Strengths
- + Established follower base of 190,543
- + 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 @ZROMOCITYDON reveals an growing Twitter presence with 190,543 followers. The account demonstrates a content-creator strategy, averaging 88.2 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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