169,193
Followers
10,826
Following
18,511
Tweets
270.9
Avg Engagement
1,246
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @goldkorn'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:2008-04-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:5.4
- Avg Retweets per Tweet:265.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,202 tweetsTheir tweets typically receive moderate to high engagement, with an average of 398 likes and 114 retweets. The content is designed to provoke thought and discussion.
5.4
Avg Likes/Tweet
265.5
Avg Retweets/Tweet
17,337
Total Likes
850,124
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
38
75th Percentile
68,972
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
Curator
Amplifies others content frequently
15.2%
Original
15.3%
Replies
57.4%
Retweets
12.1%
Quotes
0.0%
Threads
0.9%
With Media
38.7%
With Links
5.3%
With #Tags
75.3%
With @Mentions
2.3%
With Emojis
125
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.9%
Weekday Posts
18.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 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 1,837 retweets (57% 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 3,202 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 likely includes tech enthusiasts, critics, and individuals interested in social commentary. They also attract readers who appreciate poetic and thought-provoking content.
Average
Audience Quality
33.4%
Suspicion Index
38.6%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.8%
Empty Bio
42.1%
<10 Tweets
17.7%
Mass Following (>2K)
0.0%
New (<90 days)
66.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.1%
No URL
29.5%
<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.
78,194,404
Total Potential Reach
25
Median Follower Reach
153
75th Percentile Reach
7.0%
>1K followers
1.5%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
33.8%
Creators
16,912 accounts
24.0%
Consumers
12,013 accounts
42.1%
Dormant
21,075 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):
322
Verified Followers
0.32% of total
7,471
Protected Accounts
7.4% 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 |
|---|---|---|---|
| @rahulkanwal | 4,470,235 | Journalist | News, Director, Anchor |
| @Naija_PR | 3,906,761 | News Aggregator | - |
| @6BillionPeople | 2,033,369 | - | - |
| @AndrewYang | 1,698,055 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @tedlieu | 1,658,359 | Politician | Family, USAF, Congress |
| @kaifulee | 1,502,834 | AI Expert | AI, CEO, Author |
| @NMenonRao | 1,338,643 | Author | History, Music, Diplomacy |
| @RFA_Chinese | 1,283,444 | News Outlet | news, commentary, diversity |
| @Omojuwa | 1,232,778 | Influencer | Tweets, my view, Author |
| @JDaIey | 1,230,335 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
40,269
Followers With Bio
60,729
Followers Without Bio
39.87%
% With Bio
60.13%
% 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 3,202 analyzed204,415
Combined Engagement
0
Total Likes
204,415
Total Retweets
40,883
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @sleepy_homo: London zoo not pissing around https://t.co/C9cxoDCba2
RT @StephenKing: $20 a month to keep my blue check? Fuck that, they should pay me. If that gets instituted, I’m gone like Enron.
RT @camanpour: A reflection on President Trump’s comments last night: The last President I covered who refused to accept the vote count i…
RT @VeraMBergen: I can’t wrap my mind around the existence of this clip. https://t.co/1XvBYWlMxg
RT @btscharts_spain: RM's interview with EL PAÍS (Spanish newspaper) | ENG translation (1/2) 💬 "In Korea we work so hard because 70 years…
Key Insights & Takeaways
Goldkorn often addresses controversial topics, such as Apple's manufacturing practices, which can drive significant engagement. They blend analytical and creative content, offering a unique perspective that appeals to a broad audience. Their use of poetry and social commentary suggests a focus on deeper, more reflective themes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 169,193
- + 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 @goldkorn reveals an well-established Twitter presence with 169,193 followers. The account demonstrates a conversation-first approach, averaging 270.9 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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