Jeremy Kaplan
Content Director at @Futureplc & @techradar fan. Writer / editor / thinker about media stuff. Not interested in your NFT
418,295
Followers
11,209
Following
18,805
Tweets
831.5
Avg Engagement
1,511
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SmashDawg'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:2014-01-23
- Verification:No
- Location:Brooklyn, NY
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:3.8
- Avg Retweets per Tweet:827.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsSmashDawg's tweets receive moderate engagement, with an average of 91 likes and 15 retweets per tweet. The engagement suggests a mix of informative and timely content.
3.8
Avg Likes/Tweet
827.7
Avg Retweets/Tweet
12,369
Total Likes
2,684,104
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
7
75th Percentile
535,512
Top Tweet
1.99
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
44.6%
Original
38.5%
Replies
11.1%
Retweets
5.8%
Quotes
0.0%
Threads
0.7%
With Media
45.3%
With Links
13.4%
With #Tags
61.1%
With @Mentions
4.1%
With Emojis
101
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.6%
Weekday Posts
12.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 359 retweets (11% 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 3,243 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 likely interested in tech, media, and politics, with a focus on breaking news and analysis. The audience appears to be engaged with current events and industry updates.
Below Average
Audience Quality
40.3%
Suspicion Index
56.8%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.7%
Empty Bio
64.8%
<10 Tweets
10.8%
Mass Following (>2K)
0.0%
New (<90 days)
75.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.8%
No URL
54.9%
<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.
95,465,551
Total Potential Reach
2
Median Follower Reach
39
75th Percentile Reach
5.8%
>1K followers
1.2%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
22.8%
Creators
11,419 accounts
12.3%
Consumers
6,163 accounts
64.8%
Dormant
32,418 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):
781
Verified Followers
0.78% of total
3,488
Protected Accounts
3.49% 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 |
|---|---|---|---|
| @JohnCena | 14,104,276 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Android | 11,423,729 | Tech | tech, updates, stories |
| @altonbrown | 4,396,031 | Chef | Cooking, Science, Humor |
| @zlj517 | 1,993,643 | Spokesman | Geopolitics, Diplomacy, Communication |
| @KameronBennett | 1,812,950 | DJ | Music, DJing, Booking |
| @AndrewYang | 1,700,164 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @NYSE | 1,691,657 | Finance | Finance, Investing, Opportunities |
| @HuobiGlobal | 1,434,472 | - | - |
| @AlaattinCAGIL | 1,399,258 | Social Media Specialist | Social Media, Media Consulting, Author |
| @androidcentral | 1,241,434 | Tech Blogger | Tech, Android, Tips |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,456
Followers With Bio
71,544
Followers Without Bio
28.46%
% With Bio
71.54%
% 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 3,243 analyzed1,449,196
Combined Engagement
0
Total Likes
1,449,196
Total Retweets
289,839
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @JoeBiden: America, I’m honored that you have chosen me to lead our great country. The work ahead of us will be hard, but I promise you…
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
RT @TwitterSafety: After close review of recent Tweets from the @realDonaldTrump account and the context around them we have permanently su…
RT @RockstarGames: A Message from Rockstar Games https://t.co/T4Wztu8RW8
RT @NASAPersevere: I’m safe on Mars. Perseverance will get you anywhere. #CountdownToMars
Key Insights & Takeaways
He often shares breaking news and analysis on major tech and political developments. He uses comparisons to provide context, such as relating Apple Arcade's potential subscriber base to Spotify's. He engages with current events, including election results and public opinion trends.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 418,295
- + 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 @SmashDawg reveals an well-established Twitter presence with 418,295 followers. The account demonstrates a content-creator strategy, averaging 831.5 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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