Mayer Mizrachi
nerd.
158,572
Followers
468
Following
14,762
Tweets
211.1
Avg Engagement
61
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mayer'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:2011-03-26
- Verification:Yes
- Location:Panama
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:146.1
- Avg Retweets per Tweet:65.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsHis tweets receive moderate to high engagement, indicating a dedicated and active audience interested in his content.
146.1
Avg Likes/Tweet
65.0
Avg Retweets/Tweet
73,071
Total Likes
32,499
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
3
Median Retweets
169
75th Percentile
10,484
Top Tweet
1.33
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
39.6%
Original
50.4%
Replies
6.4%
Retweets
3.6%
Quotes
0.0%
Threads
0.0%
With Media
32.8%
With Links
1.2%
With #Tags
61.2%
With @Mentions
18.2%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.27
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.2%
Weekday Posts
22.8%
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 32 retweets (6% 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 50,000 followersMayer's audience appears to be politically engaged individuals, likely from Mexico, given the context of his tweets.
Below Average
Audience Quality
37.4%
Suspicion Index
53.1%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.0%
Empty Bio
61.1%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
71.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
49.1%
<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.
13,692,136
Total Potential Reach
3
Median Follower Reach
28
75th Percentile Reach
1.9%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
21.7%
Creators
10,855 accounts
17.2%
Consumers
8,593 accounts
61.1%
Dormant
30,552 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):
150
Verified Followers
0.15% of total
8,534
Protected Accounts
8.53% 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 |
|---|---|---|---|
| @MattWallace888 | 952,594 | YouTuber | Crypto, Dogecoin, YouTube |
| @JC_Varela | 542,663 | Politician | politics, leadership, Panama |
| @Bosslogic | 516,537 | Artist | Gaming, Art, NFTs |
| @Uldouz | 461,400 | Influencer | Women's rights, Charity, Social media |
| @limyueng | 442,080 | News Anchor | News, Coffee, Live and let live |
| @zammit_marc | 388,078 | Filmmaker | Film, Acting, Producing |
| @ZulayRL | 352,818 | Politician | Panama, Politics, Patriotism |
| @tveitdal | 343,769 | Environmental Activist | Climate Change, Renewable Energy, Nature |
| @melnicksergio | 319,163 | Academic | Magus, buena mesa, sabiduria |
| @SamsungLatin | 308,919 | Tech Company | Technology, Samsung products, Community engagement |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,057
Followers With Bio
47,943
Followers Without Bio
52.06%
% With Bio
47.94%
% 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 500 analyzed30,609
Combined Engagement
6,087
Total Likes
24,522
Total Retweets
6,122
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @nayibbukele: Next week, I’ll be sending a bill to congress to eliminate all taxes (income, property, capital gains and import tariffs)…
RT @benshapiro: Remember, folks, it's a dangerous insurrection when Trump supporters do it, it's an act of bravery and virtue when it's tra…
RT @JustinRoiland: justice https://t.co/1q9M4GA6MV
Jamás un presidente de mi país ha valorado mis ideas, pero nadie es profeta en su propia tierra https://t.co/9Sy6u9KxJx
@nayibbukele Considering El Salvador is dollarized, this incentive will likely put it at the forefront in tech Latam.
Key Insights & Takeaways
Mayer's content often focuses on political criticism and local issues. He uses Twitter to express dissatisfaction with political leadership. His tweets include links, suggesting he shares additional context or sources.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 158,572
- + 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 @Mayer reveals an well-established Twitter presence with 158,572 followers. The account demonstrates a conversation-first approach, averaging 211.1 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.
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