164,328
Followers
5,692
Following
26,303
Tweets
164.0
Avg Engagement
2,200
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @davedays'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:2008-06-10
- Verification:No
- Location:Outer Space
Data Summary
- Tweets Analyzed:3,144
- Avg Likes per Tweet:24.3
- Avg Retweets per Tweet:139.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,144 tweetsHis tweets typically receive high engagement, with an average of 2k likes and 377 retweets, indicating a highly interactive audience.
24.3
Avg Likes/Tweet
139.6
Avg Retweets/Tweet
76,530
Total Likes
438,937
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
24
75th Percentile
374,053
Top Tweet
1.0
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
28.4%
Original
57.6%
Replies
8.0%
Retweets
6.0%
Quotes
0.0%
Threads
0.3%
With Media
28.3%
With Links
5.9%
With #Tags
72.9%
With @Mentions
27.7%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.03
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,144 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 250 retweets (8% 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 3,144 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 interested in music, pop culture, and viral trends, with a mix of fans and industry peers.
Good
Audience Quality
17.6%
Suspicion Index
21.5%
Low-Quality %
53
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.1%
Empty Bio
20.1%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
36.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.9%
No URL
10.9%
<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.
204,946,706
Total Potential Reach
53
Median Follower Reach
195
75th Percentile Reach
4.5%
>1K followers
1.0%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.7%
Creators
26,848 accounts
26.2%
Consumers
13,084 accounts
20.1%
Dormant
10,068 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):
213
Verified Followers
0.21% of total
11,853
Protected Accounts
11.74% of total
11 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 |
|---|---|---|---|
| @HillaryClinton | 31,471,463 | Politician | - |
| @JohnCena | 14,100,767 | Wrestler | Wrestling, Motivation, Self-promotion |
| @enews | 11,890,687 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @Michael5SOS | 9,970,561 | Musician | music, penguins, person |
| @Spotify | 9,579,332 | Music streaming | Music, Podcasts, Live audio |
| @jccaylen | 6,286,192 | - | - |
| @Caspar_Lee | 4,926,223 | YouTuber | comedy, vlogging, travel |
| @20thcentury | 4,707,431 | Film Studio | Movies, Entertainment, Ron's Gone Wrong |
| @lifeaseva | 4,559,615 | Influencer | sustainability, energy, lifestyle |
| @FifthHarmony | 4,483,273 | Singers | Music, Girl group, Harmony |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,531
Followers With Bio
32,465
Followers Without Bio
67.86%
% With Bio
32.14%
% 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 3,144 analyzed413,195
Combined Engagement
7,975
Total Likes
405,220
Total Retweets
82,639
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @rauhling_bizzle: IT TOOK ALL 50 STATES, THE AMISH, KPOP STANS, 13 OTHER COUNTRIES, WITCHES, ANONYMOUS, THE LGBT COMMUNITY, CELEBRITIES,…
RT @boburnham: Please, please, please can the internet get better at helping us communicate and understand each other rather than doing the…
My remix of Left and Right with @charlieputh & Jungkook @BTS_twt They even let me be in the video! 😉🎸 https://t.co/01Wji0q8eR
RT @jamesmaslow: If Trump wins I'm leaving the country. If Hillary wins I'm leaving the country. This is not a political post, I just wan…
RT @iamblackbear: i did what i had to
Key Insights & Takeaways
He frequently collaborates with popular artists and influencers, which boosts his visibility and engagement. His content often includes personal achievements and behind-the-scenes moments, creating a relatable and authentic image. He uses humor and trending topics to keep his audience engaged and entertained.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 164,328
- + 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 @davedays reveals an well-established Twitter presence with 164,328 followers. The account demonstrates a conversation-first approach, averaging 164.0 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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