Markki Stroem
Singer/Songwriter/Host/Pokemon Trainer/Thespian/The Morning Rush RX 93.1 :)
167,847
Followers
713
Following
22,721
Tweets
1,029.4
Avg Engagement
320
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Markkistroem'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:2009-05-11
- Verification:No
- Location:Antipolo, Philippines
Data Summary
- Tweets Analyzed:3,217
- Avg Likes per Tweet:51.5
- Avg Retweets per Tweet:978.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,217 tweetsHis tweets typically receive a high number of likes and retweets, indicating a loyal and active community that engages with his content regularly.
51.5
Avg Likes/Tweet
978.0
Avg Retweets/Tweet
165,570
Total Likes
3,146,092
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
11
75th Percentile
2,999,915
Top Tweet
6.13
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
39.0%
Original
28.6%
Replies
24.2%
Retweets
8.2%
Quotes
0.0%
Threads
3.5%
With Media
54.7%
With Links
22.8%
With #Tags
69.6%
With @Mentions
29.1%
With Emojis
114
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.73
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,217 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 779 retweets (24% 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 3,217 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 appears to be fans of music, podcasts, and pop culture, with a particular interest in his creative projects and personal updates.
Average
Audience Quality
30.1%
Suspicion Index
28.5%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.5%
Empty Bio
27.9%
<10 Tweets
17.9%
Mass Following (>2K)
0.0%
New (<90 days)
72.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.2%
No URL
16.5%
<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.
26,662,638
Total Potential Reach
29
Median Follower Reach
110
75th Percentile Reach
4.2%
>1K followers
0.8%
>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).
46.9%
Creators
23,474 accounts
25.2%
Consumers
12,594 accounts
27.9%
Dormant
13,932 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):
63
Verified Followers
0.06% of total
20,440
Protected Accounts
20.24% of total
7 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 |
|---|---|---|---|
| @samuelmilby | 4,816,921 | Actor | Actor, Singer, Instagram |
| @xtianbautista | 3,287,773 | Singer | Singer, Actor, Host |
| @coleengarcia | 2,313,707 | Actress | Growing, learning, positivity |
| @meralco | 2,207,585 | Electricity Provider | Electricity, Power, Service |
| @LoviPoe | 1,797,746 | Actress | Music, Acting, Fashion |
| @arnelpineda | 1,741,221 | Singer | Music, Charity, Social Media |
| @catrionaelisa | 1,472,774 | Advocate | Advocate, singer, creative |
| @LILBTHEBASEDGOD | 1,247,376 | Rapper | Music, Writing, Film |
| @talk2GLOBE | 1,224,692 | - | - |
| @kiraycelis | 1,092,651 | Actress | Maganda, Matangkad, Mahiyain |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,706
Followers With Bio
44,288
Followers Without Bio
56.15%
% With Bio
43.85%
% 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 3,217 analyzed3,135,675
Combined Engagement
20,615
Total Likes
3,115,060
Total Retweets
627,135
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @PokemonGoApp: Trainers, we’re celebrating the Season of Alola and Stufful Community Day by awarding one lucky winner with a trip for tw…
RT @Complex: If you’re wondering what Siri looks like https://t.co/NJpg73Mbo4
Preparing for my next role… Something a little more… Dubius? 🌳☠️ https://t.co/FYjpk5yN23
Missing Parts. https://t.co/A1EByQwpZn
Key Insights & Takeaways
He frequently shares personal and creative updates, indicating a focus on authenticity and storytelling. His content often includes links to external media, suggesting a strategy to drive traffic and maintain audience interest. He uses a mix of humor and thematic elements, which helps in building a unique brand identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 167,847
- + 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 @Markkistroem reveals an exceptionally influential Twitter presence with 167,847 followers. The account demonstrates a content-creator strategy, averaging 1,029.4 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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