Dave Itzkoff
234,383
Followers
904
Following
40,787
Tweets
785.9
Avg Engagement
2,716
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ditzkoff'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:2009-10-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:399.5
- Avg Retweets per Tweet:386.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,231 tweetsThe account maintains high engagement with a significant number of likes and retweets per tweet. The content appears to resonate well with its audience, indicating a strong connection to trending topics.
399.5
Avg Likes/Tweet
386.4
Avg Retweets/Tweet
1,290,763
Total Likes
1,248,456
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
3
Median Retweets
307
75th Percentile
68,836
Top Tweet
3.35
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
16.2%
Original
49.5%
Replies
26.9%
Retweets
7.3%
Quotes
0.0%
Threads
0.4%
With Media
53.9%
With Links
0.7%
With #Tags
71.7%
With @Mentions
2.1%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.05
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.5%
Weekday Posts
19.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 870 retweets (27% 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 3,231 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 followersThe audience likely includes fans of pop culture, celebrities, and internet trends. The account's engagement suggests a broad and active following interested in viral content and celebrity news.
Average
Audience Quality
21.2%
Suspicion Index
19.0%
Low-Quality %
120
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.6%
Empty Bio
12.7%
<10 Tweets
24.8%
Mass Following (>2K)
0.0%
New (<90 days)
43.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.2%
No URL
8.4%
<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.
153,979,778
Total Potential Reach
120
Median Follower Reach
431
75th Percentile Reach
13.8%
>1K followers
2.4%
>10K followers
0.8%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
75.3%
Creators
37,671 accounts
12.0%
Consumers
5,991 accounts
12.7%
Dormant
6,338 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):
541
Verified Followers
0.54% of total
11,943
Protected Accounts
11.83% of total
8 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 | 14,100,457 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TwitterTV | 9,042,273 | - | - |
| @SteveMartinToGo | 8,672,348 | - | - |
| @FallonTonight | 4,505,737 | - | - |
| @DJPaulyD | 3,598,961 | DJ | Music, DJing, Booking |
| @HBO | 3,310,905 | Entertainment | TV shows, movies, streaming |
| @Lawrence | 2,838,115 | Journalist | politics, news, commentary |
| @NetflixIT | 2,778,079 | Entertainment | TV shows, Movies, Entertainment |
| @HEELZiggler | 2,706,195 | - | - |
| @nytchinese | 2,663,929 | News Outlet | News, Chinese culture, Technology |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,553
Followers With Bio
41,443
Followers Without Bio
58.97%
% With Bio
41.03%
% 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 3,231 analyzed307,708
Combined Engagement
221,687
Total Likes
86,021
Total Retweets
61,542
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @pattymo: RIHANNA LOOK OUT https://t.co/WU6gwLCa6y
everyone waiting for Jonah hill to wake up this morning https://t.co/W5kNPpEwN9
@TwitterSupport https://t.co/vlFEYHeiyG
Now the miscreant in question, he had the temerity, the hubris, to broadcast his whereabouts with the online exhibition of his pizza box https://t.co/I5lU82a9rU
https://t.co/6bkxyDf4Li https://t.co/7qTpFzZJfr
Key Insights & Takeaways
The account frequently references public figures and celebrity events, suggesting a focus on entertainment and pop culture. The content often includes links to specific tweets or posts, indicating a preference for sharing and discussing viral or notable content. The account's engagement metrics suggest a dedicated and active audience interested in trending and controversial topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 234,383
- + 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 @ditzkoff reveals an well-established Twitter presence with 234,383 followers. The account demonstrates a conversation-first approach, averaging 785.9 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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