MoodysAnalytics ECON
https://www.economy.com:443/economicview covers the global economy in real time, featuring data and analysis by Mark Zandi and the Moody's Analytics economics team.
20,610
Followers
1,109
Following
27,523
Tweets
11.6
Avg Engagement
820
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @economics_ma'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:2010-04-22
- Verification:No
- Location:West Chester, PA
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:1.7
- Avg Retweets per Tweet:10.0
- Followers Analyzed:20,414
Engagement Analysis
Based on 500 tweetsThe account has a moderate engagement rate, with an average of 12 likes and 6 retweets per tweet. The engagement appears to be consistent, suggesting a loyal and active follower base.
1.7
Avg Likes/Tweet
10.0
Avg Retweets/Tweet
834
Total Likes
4,977
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
6
75th Percentile
1,052
Top Tweet
0.56
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
56.4%
Original
17.0%
Replies
25.6%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
74.0%
With Links
61.8%
With #Tags
44.2%
With @Mentions
1.2%
With Emojis
188
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
100.0%
Weekday Posts
0.0%
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 500 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 128 retweets (26% 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 20,414 followersThe audience is likely interested in macroeconomic trends, financial markets, and policy analysis. They are likely professionals, investors, or students seeking expert insights into economic conditions.
Average
Audience Quality
25.9%
Suspicion Index
27.4%
Low-Quality %
72
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
22.8%
<10 Tweets
23.5%
Mass Following (>2K)
0.0%
New (<90 days)
50.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.0%
No URL
15.6%
<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.
75,953,903
Total Potential Reach
72
Median Follower Reach
304
75th Percentile Reach
11.8%
>1K followers
2.5%
>10K followers
0.8%
>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).
59.3%
Creators
12,096 accounts
18.0%
Consumers
3,666 accounts
22.8%
Dormant
4,652 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):
664
Verified Followers
3.25% of total
3,156
Protected Accounts
15.46% of total
9 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 | 14,105,762 | Wrestler | Wrestling, Motivation, Self-promotion |
| @PDChina | 6,705,579 | News Outlet | News, China, Politics |
| @Variety | 2,909,799 | Entertainment industry | Entertainment, Business, Variety |
| @marvi_memon | 2,078,736 | Politician | Politics, Poverty Alleviation, Advisory Council |
| @6BillionPeople | 2,038,023 | - | - |
| @YahooFinance | 1,581,178 | Finance | business news, finance, app |
| @Ricamconsult | 1,508,193 | Economista | Economia, Humor, Influência |
| @LILBTHEBASEDGOD | 1,250,148 | Rapper | Music, Writing, Film |
| @pmarca | 1,234,117 | Investor | Tucked shirt |
| @Diego_Arria | 1,162,365 | Politician | politics, security, farming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,409
Followers With Bio
8,005
Followers Without Bio
60.79%
% With Bio
39.21%
% 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 500 analyzed2,250
Combined Engagement
0
Total Likes
2,250
Total Retweets
450
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @Markzandi: Understanding what is behind the painfully high CPI inflation is key to understanding where it is headed and when. This tabl…
RT @Markzandi: Inflation has peaked. This, despite tomorrow’s blaring headlines on January consumer price inflation. Inflation peaked in Oc…
RT @Markzandi: The Inflation Reduction Act seems likely to cross the legislative finish line. My analysis of its economic impact will be ou…
RT @nytimes: A top economist will warn a Senate panel on Tuesday that Republicans’ refusal to raise the nation’s borrowing cap could put mi…
RT @Markzandi: November’s weaker than expected job gain looks like a head fake. The job market is MUCH stronger than this headline would su…
Key Insights & Takeaways
The account highlights the disconnect between strong economic indicators and public sentiment. It focuses on key topics like housing and inflation, often featuring expert guests and analysis. It provides a platform for in-depth discussions and data-driven commentary on global economic trends.
Strengths
- + Established follower base of 20,610
- + 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 @economics_ma reveals an growing Twitter presence with 20,610 followers. The account demonstrates a content-creator strategy, averaging 11.6 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