Philip Michael
Founder @nyceapp: “Robinhood of real estate.” Invest in real estate with $100 (or less) 👇
310,948
Followers
794
Following
3,890
Tweets
216.9
Avg Engagement
99
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Philip_Michael'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:2009-07-19
- Verification:No
- Location:$0 to $100K guide 👉
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:29.1
- Avg Retweets per Tweet:187.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsPhilip_Michael's tweets typically receive high engagement, averaging 4,741 likes and 461 retweets, indicating strong audience interaction. His content is well-received and often shared within his community.
29.1
Avg Likes/Tweet
187.8
Avg Retweets/Tweet
94,521
Total Likes
609,647
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
101,924
Top Tweet
0.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
27.0%
Original
42.6%
Replies
9.2%
Retweets
21.2%
Quotes
0.0%
Threads
0.1%
With Media
33.5%
With Links
8.4%
With #Tags
52.2%
With @Mentions
31.4%
With Emojis
97
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.58
Reply/Original Ratio
2.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.5%
Weekday Posts
33.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 299 retweets (9% 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 3,247 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 is primarily interested in real estate investment and financial freedom, with a focus on low-cost entry points. The audience is likely tech-savvy and looking for alternative investment options.
Average
Audience Quality
27.4%
Suspicion Index
35.3%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.1%
Empty Bio
40.0%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
53.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
22.4%
<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.
10,988,348
Total Potential Reach
16
Median Follower Reach
70
75th Percentile Reach
2.7%
>1K followers
0.2%
>10K followers
0.0%
>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).
27.3%
Creators
13,648 accounts
32.7%
Consumers
16,358 accounts
40.0%
Dormant
19,994 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):
199
Verified Followers
0.2% of total
5,515
Protected Accounts
5.46% of total
3 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 |
|---|---|---|---|
| @LayarPixel | 699,005 | Actor | Artis, Perfectionist, Superstitious |
| @GeorgiKose | 483,802 | Influencer | NFTs, Bitcoin, ETH |
| @MahatOfficial | 483,372 | Actor | Movies, Acting, Entertainment |
| @WealthInc247 | 470,576 | Wealth Coach | Inspiration, Habits, Wealth |
| @Juzshua | 252,125 | Influencer | Sponsorship, Endorsement, Collaboration |
| @ShitCoinBscGem | 236,005 | - | - |
| @officerwoos | 217,203 | Content Creator | Comedy, Entertainment, Nigeria |
| @shaddyboo__92 | 203,954 | Entrepreneur | Success, Work, Money |
| @_Lolobe4 | 195,211 | Influencer | Fashion, Fitness, Travel |
| @KasiEconomy | 160,003 | Community Organizer | Kasi, Economy, Love |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,767
Followers With Bio
46,232
Followers Without Bio
54.23%
% With Bio
45.77%
% 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 3,247 analyzed310,569
Combined Engagement
0
Total Likes
310,569
Total Retweets
62,114
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @elonmusk: The duty of a leader is to serve their people, not for the people to serve them
RT @UEFA: Following the medical emergency involving Denmark’s player Christian Eriksen, a crisis meeting has taken place with both teams an…
RT @cognitivepolicy: Your friendly reminder that large-scale ecological restoration has been demonstrated. It really can be done.
RT @elonmusk: A social media platform’s policies are good if the most extreme 10% on left and right are equally unhappy
RT @ErichinATL: If Eminem triggered you while he took a knee…and the national anthem wasn’t playing…then it wasn’t about the fricken’ anthe…
Key Insights & Takeaways
He leverages the 'Robinhood of real estate' analogy to attract a broader audience. His top tweets often include links to real estate investment opportunities. He emphasizes low entry costs to make real estate investing accessible to more people.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 310,948
- + 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 @Philip_Michael reveals an well-established Twitter presence with 310,948 followers. The account demonstrates a conversation-first approach, averaging 216.9 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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