Dave Rapoza
I love art. https://daverapoza.com/ Steve Lichman books available here - https://www.stevelichman.com/ Prints - https://inprnt.com/profile/dave_r…
245,704
Followers
4,937
Following
23,852
Tweets
1,130.1
Avg Engagement
1,985
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DaveRapoza'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:2009-05-31
- Verification:No
- Location:Denver, CO
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:721.9
- Avg Retweets per Tweet:408.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets typically receive an average of 39,000 likes and 6,057 retweets, indicating strong audience interaction. The high engagement suggests a loyal and active fan base.
721.9
Avg Likes/Tweet
408.2
Avg Retweets/Tweet
2,344,820
Total Likes
1,325,862
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
27
Median Likes
3
Median Retweets
512
75th Percentile
108,983
Top Tweet
4.6
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
24.3%
Original
56.1%
Replies
16.9%
Retweets
2.7%
Quotes
0.0%
Threads
2.1%
With Media
48.3%
With Links
1.6%
With #Tags
48.6%
With @Mentions
3.7%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.31
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.4%
Weekday Posts
21.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 550 retweets (17% 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 3,248 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 art, comics, and gaming, as evidenced by his tweets and links. They are active participants, showing high engagement through likes and retweets.
Average
Audience Quality
26.1%
Suspicion Index
23.6%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.1%
Empty Bio
22.3%
<10 Tweets
15.0%
Mass Following (>2K)
0.0%
New (<90 days)
68.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.5%
No URL
15.2%
<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.
29,990,440
Total Potential Reach
25
Median Follower Reach
88
75th Percentile Reach
4.4%
>1K followers
0.9%
>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).
58.3%
Creators
29,161 accounts
19.4%
Consumers
9,694 accounts
22.3%
Dormant
11,145 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):
394
Verified Followers
0.39% of total
14,326
Protected Accounts
14.19% 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 |
|---|---|---|---|
| @TheWalkingDead | 1,612,156 | TV Show | Zombies, Social Justice, TV Shows |
| @Grimezsz | 1,343,374 | Musician | music, art, technology |
| @kaansezyum | 989,158 | Unknown | - |
| @adamtotscomix | 935,061 | Cartoonist | comics, chaos, goblin |
| @ZachBoychuk | 829,151 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @sheidlina | 745,823 | Artist | Art, Fashion, Creativity |
| @BigJigglyPanda | 712,593 | YouTuber | YouTube, Father, Nonsense |
| @hikinito0902 | 614,699 | Gamer | Anime, Gaming, Email Marketing |
| @slimyswampghost | 445,077 | Horror artist | Horror, Art, Secrets |
| @mistermv | 404,230 | Streamer | streaming, music, gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
72,240
Followers With Bio
28,738
Followers Without Bio
71.54%
% With Bio
28.46%
% 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 3,248 analyzed358,809
Combined Engagement
160,998
Total Likes
197,811
Total Retweets
71,762
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @oshiruko_s2: 何してるの？ https://t.co/SmT4YFR67C
Melinoë https://t.co/YlpuB3BftN
RT @oshiruko_s2: 何かいるの？ https://t.co/zT71rzN3f5
Zagreus & Melinoë #HadesGame #hades2 https://t.co/f3zOtbULa2
Samus https://t.co/cFHHAq6AsJ
Key Insights & Takeaways
He frequently shares his artwork and creative projects, which drives engagement. His tweets often include links to his books and prints, indicating a focus on monetization and promotion. He engages with popular gaming and comic themes, which aligns with his audience's interests.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 245,704
- + 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 @DaveRapoza reveals an exceptionally influential Twitter presence with 245,704 followers. The account demonstrates a conversation-first approach, averaging 1,130.1 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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