Institutional Investor
Daily institutional investing news. Writing the inside story on all things asset management for fifty years and counting.
58,845
Followers
838
Following
35,257
Tweets
4.1
Avg Engagement
1,524
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @iimag'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:2009-11-30
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:3.0
- Avg Retweets per Tweet:1.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account has average engagement with around 80 likes and 20 retweets per tweet, suggesting a focused but not highly interactive audience. The engagement is consistent with a professional and informative content style.
3.0
Avg Likes/Tweet
1.2
Avg Retweets/Tweet
9,679
Total Likes
3,803
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
5
75th Percentile
226
Top Tweet
0.07
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
95.5%
Original
1.4%
Replies
2.9%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
98.2%
With Links
10.3%
With #Tags
13.3%
With @Mentions
0.3%
With Emojis
128
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
99.1%
Weekday Posts
0.9%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,249 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 95 retweets (3% 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 3,249 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 is likely professionals in finance, investors, and those interested in institutional strategies and market trends. They are likely seeking in-depth analysis and updates on major players in the asset management space.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
100.0%
<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.
18,879,660
Total Potential Reach
15
Median Follower Reach
96
75th Percentile Reach
4.6%
>1K followers
0.8%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,114
Protected Accounts
11.14% of total
4 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 | 14,090,449 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AlertTrade | 232,755 | Trading | Trade Alerts, Trade Ideas, Crypto |
| @VenusProtocol | 207,297 | DeFi | Earn, Borrow, Lend |
| @AsiaFinance | 179,058 | - | - |
| @jjjinvesting | 156,827 | Investor | Investing, Contrary Options, Vietnam Veteran |
| @CreagenDow | 111,744 | Actor | Comedy, Acting, Entrepreneurship |
| @Anthony | 102,896 | News Editor | U.S. News, Editor, Scoops |
| @tedfujimoto | 100,381 | Education | Education, Innovation, Leadership |
| @spotgamma | 95,440 | - | - |
| @JeanChatzky | 81,523 | Financial journalist | finance, writing, podcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,271
Followers With Bio
4,729
Followers Without Bio
52.71%
% With Bio
47.29%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed691
Combined Engagement
569
Total Likes
122
Total Retweets
138
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
The metamorphosis of former hedge fund manager and @EpsilonTheory founder Ben Hunt. https://t.co/99RoxgTZ67 https://t.co/0SxMUyIdOT
NEW: Renaissance’s Medallion Fund Surged 76% in 2020. But Funds Open to Outsiders Tanked. https://t.co/B2qG5Hfat0 https://t.co/w4W0Hh0xBh
West Virginia Treasury Drops BlackRock Over Stance on Climate Risk https://t.co/CcYb3M43yX https://t.co/m0CghzzA1e
Nassim Taleb — and Universa — Versus the World https://t.co/jn42DhddWm https://t.co/knYTXFMfFS
Assets Have Tanked at Two of the World’s Biggest Short Sellers https://t.co/dklKEwIboI https://t.co/jpVC4cNgei
Key Insights & Takeaways
The account often highlights the career shifts and insights of key figures in finance, such as Ben Hunt. It provides analysis on the performance and strategies of major hedge funds and institutional investors. It covers regulatory and policy-related developments affecting asset management firms and their operations.
Strengths
- + Established follower base of 58,845
- + 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 @iimag reveals an growing Twitter presence with 58,845 followers. The account demonstrates a content-creator strategy, averaging 4.1 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access