Dow
Fiat enthusiast. 🇺🇸 🇮🇹 /s 🇪🇸 🇫🇷 🇵🇹 @BehavioralMacro
108,126
Followers
4,209
Following
117,542
Tweets
253.4
Avg Engagement
2,948
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mark_dow'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:2011-04-23
- Verification:No
- Location:California
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:20.2
- Avg Retweets per Tweet:233.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,245 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. He often shares controversial or breaking news, which drives engagement.
20.2
Avg Likes/Tweet
233.2
Avg Retweets/Tweet
65,623
Total Likes
756,697
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
34
75th Percentile
102,767
Top Tweet
2.34
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
29.8%
Original
38.6%
Replies
14.7%
Retweets
16.9%
Quotes
0.0%
Threads
0.1%
With Media
43.5%
With Links
4.4%
With #Tags
52.8%
With @Mentions
1.7%
With Emojis
105
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.29
Reply/Original Ratio
1.15
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
82.8%
Weekday Posts
17.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 478 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 3,245 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 10,000 followersHis audience includes investors, traders, and individuals interested in macroeconomic trends and financial news. The audience is likely active in financial markets and follows real-time updates.
Average
Audience Quality
27.3%
Suspicion Index
33.5%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.8%
Empty Bio
29.5%
<10 Tweets
14.5%
Mass Following (>2K)
0.0%
New (<90 days)
55.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
20.2%
<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.
8,424,943
Total Potential Reach
42
Median Follower Reach
160
75th Percentile Reach
5.6%
>1K followers
1.0%
>10K followers
0.3%
>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).
49.3%
Creators
4,931 accounts
21.2%
Consumers
2,122 accounts
29.5%
Dormant
2,947 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):
349
Verified Followers
3.49% of total
1,126
Protected Accounts
11.26% of total
6 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 |
|---|---|---|---|
| @DocumentingBTC | 890,151 | Bitcoin Enthusiast | Bitcoin, Documentation, Best |
| @BorowitzReport | 534,436 | Satirist | satire, humor, politics |
| @SofiaHCBBG | 238,524 | - | - |
| @InterestingPot | 236,723 | - | - |
| @BobLoukas | 230,278 | Trader | Bitcoin, Precious Metals, Cycles |
| @OxfordDiplomat | 178,032 | Diplomat | Cyber, Gender, Diplomacy |
| @OphirGottlieb | 154,688 | CEO | AI, finance, options trading |
| @DrCriniti | 147,801 | - | - |
| @travisa850 | 129,426 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @GameofTrades_ | 117,889 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,324
Followers With Bio
4,676
Followers Without Bio
53.24%
% With Bio
46.76%
% 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 3,245 analyzed326,840
Combined Engagement
0
Total Likes
326,840
Total Retweets
65,368
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @PicturesFoIder: https://t.co/3D0XlRvpyb
RT @KFC_ES: https://t.co/ORr3kqJRFS
RT @MikeDrucker: Twitter is fun because you get to be like, “Ducks are good” and someone in your mentions will go, “Um, I’m sorry but my brother is married to a duck scientist and this is a harmful view” and then someone else pops up going, “Your silence about horses is extremely
RT @Liz_Cheney: Donald Trump believes we should terminate “all rules, regulations and articles, even those found in the Constitution” to overturn the 2020 election. That was his view on 1/6 and remains his view today. No honest person can now deny that Trump is an enemy of the Co
RT @dog_rates: The Dogs of 2022 https://t.co/jiDzh4GhHg
Key Insights & Takeaways
He frequently tweets about financial market events and notable figures like Elon Musk and Bill Ackman. He has faced account suspensions for sharing sensitive financial information. His content often highlights the intersection of macroeconomic trends and market behavior.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 108,126
- + 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 @mark_dow reveals an well-established Twitter presence with 108,126 followers. The account demonstrates a conversation-first approach, averaging 253.4 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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