Jason Brett
Former FDIC Capital Markets Regulator during the Global Financial Crisis. Forbes Analyst for Digital Assets. Compliance Examiner and consumer protection first.
13,185
Followers
1,007
Following
10,632
Tweets
108.2
Avg Engagement
261
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RegulatoryJason'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:2014-06-12
- Verification:No
- Location:Washington, DC
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:5.4
- Avg Retweets per Tweet:102.7
- Followers Analyzed:13,300
Engagement Analysis
Based on 500 tweetsHis tweets typically receive around 92 likes and 18 retweets on average, indicating moderate engagement. Verified accounts make up about 9.7% of his followers, suggesting a mix of personal and professional connections.
5.4
Avg Likes/Tweet
102.7
Avg Retweets/Tweet
2,707
Total Likes
51,373
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
41
75th Percentile
4,964
Top Tweet
8.2
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
19.4%
Original
19.8%
Replies
53.4%
Retweets
7.4%
Quotes
0.0%
Threads
0.0%
With Media
38.4%
With Links
23.4%
With #Tags
68.8%
With @Mentions
7.0%
With Emojis
154
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.02
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.2%
Weekday Posts
17.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 267 retweets (53% 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 500 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 13,300 followersHis audience includes finance professionals, regulators, and individuals interested in digital assets and compliance. He also engages with blockchain communities and industry stakeholders.
Good
Audience Quality
18.2%
Suspicion Index
15.7%
Low-Quality %
161
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.9%
Empty Bio
11.1%
<10 Tweets
25.3%
Mass Following (>2K)
0.0%
New (<90 days)
32.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.5%
No URL
6.6%
<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.
58,866,678
Total Potential Reach
161
Median Follower Reach
672
75th Percentile Reach
19.7%
>1K followers
4.2%
>10K followers
1.3%
>50K followers
0.8%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
73.6%
Creators
9,795 accounts
15.2%
Consumers
2,023 accounts
11.1%
Dormant
1,482 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):
1,295
Verified Followers
9.74% of total
1,014
Protected Accounts
7.62% 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 |
|---|---|---|---|
| @BitcoinMagazine | 2,872,029 | Cryptocurrency Journalist | Bitcoin, Cryptocurrency, News |
| @jakeowen | 2,080,178 | Musician | Country music, Florida, Outdoors |
| @6BillionPeople | 2,038,024 | - | - |
| @APompliano | 1,643,737 | Entrepreneur | Entrepreneurship, Investing, Learning |
| @SinghLions | 1,335,664 | Restaurateur | Food, Travel, Influencer |
| @BTC_Archive | 1,248,322 | - | - |
| @BrianDEvans | 1,141,503 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @SBF_FTX | 1,078,880 | CEO | Cryptocurrency, Trading, Innovation |
| @AyannaPressley | 1,052,073 | Politician | politics, activism, representation |
| @MattWallace888 | 952,595 | YouTuber | Crypto, Dogecoin, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,991
Followers With Bio
3,309
Followers Without Bio
75.12%
% With Bio
24.88%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 500 analyzed14,763
Combined Engagement
0
Total Likes
14,763
Total Retweets
2,953
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @VivekGRamaswamy: There’s something very ugly happening right now: VCs & startup execs who stand to lose their deposits at SVB are going…
RT @GOPMajorityWhip: Today, I sent a letter to FDIC Chairman Gruenberg regarding reports that the FDIC is weaponizing recent instability in…
RT @coinbase: We are temporarily pausing USDC:USD conversions over the weekend while banks are closed. During periods of heightened activit…
RT @VivekGRamaswamy: If the real FDIC guarantee is some number greater than $250k, then why play the charade of pretending like there was a…
RT @WilliamShatner: Remembering Leonard today. 8 years ago. 😔
Key Insights & Takeaways
He frequently discusses regulatory challenges and their implications for financial institutions and digital assets. He highlights the importance of consumer protection and compliance in the evolving financial landscape. He engages with industry groups and advocates for policies that support innovation while ensuring safety and transparency.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 13,185
- + 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 @RegulatoryJason reveals an well-established Twitter presence with 13,185 followers. The account demonstrates a conversation-first approach, averaging 108.2 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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