Zachary Merrick
Once In A Lifetime - out 3/24
538,606
Followers
334
Following
305
Tweets
492.5
Avg Engagement
3,541
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @zackalltimelow'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:2009-04-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:286
- Avg Likes per Tweet:423.0
- Avg Retweets per Tweet:69.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 286 tweetsHis tweets receive high engagement, with an average of 2,664 likes and 402 retweets, indicating a loyal and active fan base.
423.0
Avg Likes/Tweet
69.5
Avg Retweets/Tweet
120,976
Total Likes
19,883
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
287
Median Likes
30
Median Retweets
476
75th Percentile
7,803
Top Tweet
0.91
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
94.4%
Original
1.0%
Replies
3.5%
Retweets
1.0%
Quotes
0.0%
Threads
4.2%
With Media
97.9%
With Links
80.1%
With #Tags
21.7%
With @Mentions
57.7%
With Emojis
164
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.1%
Weekday Posts
18.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 286 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 10 retweets (3% 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 286 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 gaming, music, and celebrity culture. They engage with his content due to its entertainment value and personal touch.
Good
Audience Quality
18.9%
Suspicion Index
18.6%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.4%
Empty Bio
21.7%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
47.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.8%
No URL
12.9%
<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.
30,523,415
Total Potential Reach
25
Median Follower Reach
115
75th Percentile Reach
3.5%
>1K followers
0.3%
>10K followers
0.1%
>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).
55.7%
Creators
27,829 accounts
22.6%
Consumers
11,320 accounts
21.7%
Dormant
10,851 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):
190
Verified Followers
0.19% of total
13,147
Protected Accounts
13.02% of total
7 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 |
|---|---|---|---|
| @Ninja | 6,679,080 | Gamer | video games, business |
| @zlj517 | 1,994,457 | Spokesman | Geopolitics, Diplomacy, Communication |
| @KameronBennett | 1,812,317 | DJ | Music, DJing, Booking |
| @MTVMusicUK | 1,273,819 | Entertainment | Music, Entertainment, UK |
| @vmas | 938,921 | Entertainment | Music, Awards, New York City |
| @MilesSTEREOS | 861,609 | Musician | Guitarist, Writer, Producer |
| @Fender | 724,663 | Musician | guitars, bass, amplifiers |
| @solalexasch | 678,736 | Musician | Music, Travel, Tattoos |
| @Ticketmaster | 606,343 | Ticketing | events, tickets, support |
| @TorreySmithWR | 571,044 | Retired footballer | Football, Philanthropy, Podcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
73,253
Followers With Bio
27,744
Followers Without Bio
72.53%
% With Bio
27.47%
% 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 286 analyzed21,447
Combined Engagement
18,455
Total Likes
2,992
Total Retweets
4,289
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
EVERYTHING IS FINE
Had the pleasure to meet and have @ninja carry me to a win #awinsawin #Lollapalooza #legend #alltimelow https://t.co/jvbB18dXCx
https://t.co/r03kuLL5Bl
NEW SINGLE, EVERYTHING IS FINE https://t.co/YwLbq4mGoy
It’s almost midnight... https://t.co/aXMRj7nxIP
Key Insights & Takeaways
His content often includes personal achievements and collaborations, which drive engagement. He leverages trending topics and events to increase visibility. His verified status is low, suggesting a focus on organic growth and authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 538,606
- + 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 @zackalltimelow reveals an well-established Twitter presence with 538,606 followers. The account demonstrates a content-creator strategy, averaging 492.5 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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