Michael Davis
Brand, Creative, Data 🚀 HBO, NBC, Redbox, FCB, imc², Epsilon. Grateful…Cannes, Webbys & a few Emmys along the way.
61,724
Followers
8,099
Following
5,619
Tweets
930.0
Avg Engagement
1,341
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @michaeldavis777'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:2009-01-31
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:9.3
- Avg Retweets per Tweet:920.6
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,173 tweetsHis tweets generally receive moderate to high engagement, indicating a loyal and interested audience. The average likes and retweets suggest a balance between professional and personal content resonates with his followers.
9.3
Avg Likes/Tweet
920.6
Avg Retweets/Tweet
29,637
Total Likes
2,921,122
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
7
Median Retweets
28
75th Percentile
2,826,159
Top Tweet
15.07
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
62.3%
Original
16.6%
Replies
19.7%
Retweets
1.4%
Quotes
0.0%
Threads
1.3%
With Media
92.4%
With Links
75.1%
With #Tags
95.3%
With @Mentions
14.4%
With Emojis
142
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.6%
Weekday Posts
19.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 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 626 retweets (20% 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 3,173 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 9,998 followersHis audience likely includes professionals in marketing, media, and entertainment, as well as fans of his work and industry events. The mix of personal and professional content appeals to both peers and followers interested in his career.
Average
Audience Quality
34.6%
Suspicion Index
36.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.8%
Empty Bio
44.5%
<10 Tweets
22.7%
Mass Following (>2K)
0.0%
New (<90 days)
70.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.6%
No URL
37.1%
<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.
147,978,633
Total Potential Reach
8
Median Follower Reach
242
75th Percentile Reach
20.3%
>1K followers
10.8%
>10K followers
4.5%
>50K followers
2.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
39.3%
Creators
3,931 accounts
16.2%
Consumers
1,617 accounts
44.5%
Dormant
4,450 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):
324
Verified Followers
3.24% of total
359
Protected Accounts
3.59% 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 |
|---|---|---|---|
| @FabioPorchat | 9,259,760 | Entertainment | Que História é Essa, Porchat?, Papo de Segunda, Porta dos Fundos |
| @antoniotabet | 3,169,024 | Entertainer | Comedy, Sports, News |
| @janboehm | 2,723,442 | Satirist | satire, podcasting, comedy |
| @NatbyNature | 2,467,228 | Wrestler | WWE, wrestling, Nattie |
| @BeckyLynchWWE | 2,351,566 | Wrestler | Wrestling, Champion, Empowerment |
| @AlexaBliss_WWE | 1,987,012 | Wrestler | WWE, caffeine, Disney |
| @MarceloFreixo | 1,975,638 | Politician | Family, Education, Politics |
| @LindseyPelas | 1,954,970 | Model | Model, Influencer, Fitness |
| @gduvivier | 1,836,295 | - | - |
| @SiriouslySusan | 1,760,071 | Voice Actor | Voice acting, singing, speaking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,318
Followers With Bio
3,682
Followers Without Bio
63.18%
% With Bio
36.82%
% 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 3,173 analyzed2,864,419
Combined Engagement
0
Total Likes
2,864,419
Total Retweets
572,884
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @TheEllenShow: If only Bradley's arm was longer. Best photo ever. #oscars http://t.co/C9U5NOtGap
RT @Tribeca: “Travel isn’t always pretty. It isn’t always comfortable. Sometimes it hurts, it even breaks your heart. But that’s okay. The journey changes you; it should change you... You take something with you. Hopefully, you leave something good behind.” — Anthony Bourdain #RI
RT @BreakingBad_AMC: It’s all in the chemistry. Congratulations to our #BreakingBad cast and crew on their #Emmys win! http://t.co/lQUImzD82e
RT @Cubs: Believe it. #FlyTheW https://t.co/nKLq7QNNPy
RT @BarackObama: 225 years ago today: George Washington was elected to be the first president of the United States. http://t.co/qS6b6miIWK
Key Insights & Takeaways
Davis frequently shares insights from major industry events like Cannes and the Emmys, showcasing his influence and connections. He blends personal stories with professional achievements, adding a human touch to his brand. His tweets often include links to live events or content, indicating a focus on real-time engagement and promotion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 61,724
- + 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 @michaeldavis777 reveals an well-established Twitter presence with 61,724 followers. The account demonstrates a content-creator strategy, averaging 930.0 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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