Jesse Colombo
Director of Marketing, North America for @BullionStar. Forbes contributor. Recognized by the London Times for predicting the Global Financial Crisis.
165,826
Followers
172,882
Following
118,122
Tweets
67.4
Avg Engagement
2,921
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheBubbleBubble'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:2011-06-20
- Verification:No
- Location:Texas & New York
Data Summary
- Tweets Analyzed:3,226
- Avg Likes per Tweet:22.2
- Avg Retweets per Tweet:45.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,226 tweetsTheBubbleBubble's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content often sparks discussion and debate around financial topics.
22.2
Avg Likes/Tweet
45.2
Avg Retweets/Tweet
71,553
Total Likes
145,876
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
37
75th Percentile
87,741
Top Tweet
0.41
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8.6%
Original
74.5%
Replies
15.8%
Retweets
1.1%
Quotes
0.0%
Threads
0.1%
With Media
32.8%
With Links
0.9%
With #Tags
78.4%
With @Mentions
1.5%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.68
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
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 3,226 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 510 retweets (16% 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 3,226 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 primarily consists of investors, traders, and individuals interested in financial markets and economic trends. They are likely looking for insights into market behavior and long-term economic forecasts.
Average
Audience Quality
22.5%
Suspicion Index
25.6%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.1%
Empty Bio
19.7%
<10 Tweets
16.5%
Mass Following (>2K)
0.0%
New (<90 days)
46.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
13.0%
<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.
117,354,136
Total Potential Reach
67
Median Follower Reach
295
75th Percentile Reach
11.6%
>1K followers
2.3%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.8%
Creators
31,389 accounts
17.5%
Consumers
8,765 accounts
19.7%
Dormant
9,846 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):
3,102
Verified Followers
3.07% of total
11,753
Protected Accounts
11.64% of total
8 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 | 14,100,805 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ProfDemirtas | 5,135,305 | Academic | Technology, Space, Medicine |
| @DezBryant | 3,495,876 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @benlandis | 2,847,080 | - | - |
| @AymanNour | 2,642,930 | Politician | Politics, Leadership, Presidential Candidate |
| @Karabo_Mokgoko | 2,349,865 | Digital Entrepreneur | Digital Entrepreneur, Trendsetter, Globetrotter |
| @zlj517 | 1,984,618 | Spokesman | Geopolitics, Diplomacy, Communication |
| @miguelhotero | 1,929,876 | Journalist | Politics, Journalism, Leadership |
| @catturd2 | 1,696,315 | Satirist | Politics, Podcasting, Writing |
| @tedlieu | 1,658,575 | Politician | Family, USAF, Congress |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,074
Followers With Bio
37,924
Followers Without Bio
62.45%
% With Bio
37.55%
% 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.
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 3,226 analyzed99,020
Combined Engagement
0
Total Likes
99,020
Total Retweets
19,804
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @elonmusk: The woke mind virus is either defeated or nothing else matters
RT @ComicDaveSmith: Imagine holding the same exact views as your teachers, all of your friends, every politician, everyone in Hollywood, th…
RT @nickgerli1: Money Supply contracts again in March. 📉 This is a massive economic warning. Money Supply contraction hasn't happened in 9…
RT @ChristieSmythe: Is it not weird that somehow "free speech" has become a "right-wing" cause? I can't be the only progressive person who…
RT @nntaleb: I've been getting rid of my BTC. Why? A currency is never supposed to be more volatile than what you buy & sell with it. You c…
Key Insights & Takeaways
TheBubbleBubble frequently predicts economic downturns and financial crises, such as a global depression post-lockdowns. They highlight concerns about hyperinflation, drawing comparisons to historical events like the Weimar Republic. Their analysis often ties market movements to broader economic and political factors, such as government policies and investor behavior.
Strengths
- + Established follower base of 165,826
- + 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 @TheBubbleBubble reveals an growing Twitter presence with 165,826 followers. The account demonstrates a conversation-first approach, averaging 67.4 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