Ralph Macchio
actor, creator, husband, father, author, in any order...
350.045
Followers
281
Following
4.774
Tweets
441,0
Avg Engagement
2.106
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ralphmacchio'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:2009-06-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.196
- Avg Likes per Tweet:294,6
- Avg Retweets per Tweet:146,3
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.196 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent, with an average of nearly 10,000 likes per tweet.
294,6
Avg Likes/Tweet
146,3
Avg Retweets/Tweet
941.697
Total Likes
467.622
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
11
Median Retweets
194
75th Percentile
224.043
Top Tweet
1,26
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
53,0%
Original
20,5%
Replies
14,5%
Retweets
12,0%
Quotes
0,0%
Threads
1,0%
With Media
49,3%
With Links
34,2%
With #Tags
60,7%
With @Mentions
4,8%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,39
Reply/Original Ratio
0,82
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72,2%
Weekday Posts
27,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.196 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 465 retweets (15% 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 3.196 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 followersHis audience primarily consists of fans of his acting career and followers of his personal brand. The audience is engaged and responsive, showing interest in his creative endeavors and personal life.
Average
Audience Quality
26,3%
Suspicion Index
30,5%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41,0%
Empty Bio
29,0%
<10 Tweets
10,3%
Mass Following (>2K)
0,0%
New (<90 days)
60,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
89,1%
No URL
19,9%
<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.
57.964.086
Total Potential Reach
22
Median Follower Reach
112
75th Percentile Reach
4,3%
>1K followers
0,5%
>10K followers
0,2%
>50K followers
0,1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51,5%
Creators
25.731 accounts
19,5%
Consumers
9.755 accounts
29,0%
Dormant
14.514 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):
834
Verified Followers
0.83% of total
11.666
Protected Accounts
11.67% of total
5 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 | 14.103.748 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheDailyShow | 9.440.760 | Comedy Show | Comedy, News, Activism |
| @carrieunderwood | 8.173.124 | Singer | Music, Family, Pets |
| @kumailn | 3.014.155 | Comedian | comedy, acting, writing |
| @JimmyKimmelLive | 2.103.931 | TV Host | Comedy, Entertainment, Fun |
| @JordanSpieth | 2.065.322 | Golfer | Golf, Under Armour, Titleist |
| @SinghLions | 1.334.726 | Restaurateur | Food, Travel, Influencer |
| @mehdirhasan | 1.287.830 | Host | Politics, News, Journalism |
| @RexChapman | 1.254.975 | Commentator | Basketball, Horse racing, Commentary |
| @Kojima_Hideo | 1.197.551 | Game Designer | Video Games, Movies, Design |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60.905
Followers With Bio
39.095
Followers Without Bio
60.91%
% With Bio
39.09%
% 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 3.196 analyzed307.390
Combined Engagement
36.016
Total Likes
271.374
Total Retweets
61.478
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @TheRealNimoy: A life is like a garden. Perfect moments can be had, but not preserved, except in memory. LLAP
RT @tomhanks: https://t.co/3E7566qiAh
Sometimes you just have to call in reinforcements! 💪🥋#bts #MiyagiDo #Danielsan #Chozen @YujiOkumoto @CobraKaiSeries https://t.co/w9XQWo8jj7
Enjoy this special video! “My Trip to Okinawa” https://t.co/torNGViofx
Whoa! What?! 😉🥋 #CobraKai #Season4 #Netflix https://t.co/L8cWJYI8Lb
Key Insights & Takeaways
Ralph frequently promotes his acting roles and related content, which drives engagement. He shares personal experiences and travel stories, which resonate well with his audience. His use of hashtags and mentions helps increase visibility and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 350.045
- + 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 @ralphmacchio reveals an well-established Twitter presence with 350.045 followers. The account demonstrates a content-creator strategy, averaging 441,0 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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