Neil Irwin
Chief Economic Correspondent at Axios and author of Axios Macro newsletter. Author of "The Alchemists" and "How to Win"; Formerly: NYT, WashPost.
97,199
Followers
1,750
Following
2,684
Tweets
92.2
Avg Engagement
2,825
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Neil_Irwin'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:2010-06-15
- Verification:No
- Location:Washington, DC
Data Summary
- Tweets Analyzed:2,516
- Avg Likes per Tweet:55.1
- Avg Retweets per Tweet:37.1
- Followers Analyzed:10,999
Engagement Analysis
Based on 2,516 tweetsIrwin's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is often shared widely, especially when it touches on significant economic or political events.
55.1
Avg Likes/Tweet
37.1
Avg Retweets/Tweet
138,664
Total Likes
93,402
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
2
Median Retweets
32
75th Percentile
20,228
Top Tweet
0.95
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
48.0%
Original
25.4%
Replies
13.1%
Retweets
13.5%
Quotes
0.0%
Threads
0.3%
With Media
42.3%
With Links
1.0%
With #Tags
38.1%
With @Mentions
0.4%
With Emojis
145
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
1.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
91.6%
Weekday Posts
8.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,516 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 329 retweets (13% 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 2,516 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 10,999 followersHis audience includes economics professionals, policymakers, and interested readers who follow macroeconomic trends. The engagement suggests a mix of experts and general followers interested in global affairs.
Average
Audience Quality
27.1%
Suspicion Index
27.2%
Low-Quality %
85
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.6%
Empty Bio
22.1%
<10 Tweets
28.1%
Mass Following (>2K)
0.0%
New (<90 days)
52.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.5%
No URL
15.8%
<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.
44,425,037
Total Potential Reach
85
Median Follower Reach
379
75th Percentile Reach
13.6%
>1K followers
2.8%
>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).
62.1%
Creators
6,826 accounts
15.9%
Consumers
1,747 accounts
22.1%
Dormant
2,426 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):
327
Verified Followers
2.97% of total
1,677
Protected Accounts
15.25% 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 | 14,092,981 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rahulkanwal | 4,462,932 | Journalist | News, Director, Anchor |
| @PressSec | 2,338,742 | - | - |
| @tedlieu | 1,659,087 | Politician | Family, USAF, Congress |
| @NOH8Campaign | 799,027 | Activism | equality, bullying, discrimination |
| @leadlagreport | 743,601 | Portfolio Manager | Stocks, ETFs, Mutual Funds |
| @krystalball | 581,894 | Political commentator | Politics, Media, Motherhood |
| @THE_THEO_FORD | 472,614 | - | - |
| @MarioNawfal | 467,663 | - | - |
| @KFILE | 429,863 | Reporter | CNN, Childhood Cancer, TeamBeansFund |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,751
Followers With Bio
4,248
Followers Without Bio
61.38%
% With Bio
38.62%
% 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 2,516 analyzed78,133
Combined Engagement
35,722
Total Likes
42,411
Total Retweets
15,627
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
0%
With Links
Topical Analysis:
RT @rodger: everybody born between 1985 and 1995 saw the Super Bowl halftime show lineup and was like “sweet, instead of doing a show for old people like the Rolling Stones or Paul McCartney or The Who they did one for us young people” and then 10 seconds later it hit us
RT @realDonaldTrump: BIGGEST STOCK MARKET RISE IN HISTORY YESTERDAY!
We're currently living in the brief moment between when Finance/Econ Twitter has realized that the new Covid lockdowns in Shenzhen are going to have hugely bad consequences for US inflation, but that has not yet become a widely-reported conventional wisdom.
I am very much guilty of this, but it is weird how much more attention American elites pay to UK politics than to Mexican politics given that Mexico has twice the population, shares a long border, and is a much bigger trading partner.
Whoa, 6.9% annualized GDP growth in 4q.
Key Insights & Takeaways
Irwin often highlights the disproportionate attention given to UK politics over Mexican politics by American elites. He frequently comments on the impact of global events like lockdowns in Shenzhen on economic trends. He shares data-driven insights, such as GDP growth figures, to inform his audience on macroeconomic performance.
Strengths
- + Established follower base of 97,199
- + 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 @Neil_Irwin reveals an growing Twitter presence with 97,199 followers. The account demonstrates a content-creator strategy, averaging 92.2 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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