ZACH CAMPBELL
“Maybe It’s Love” Out Now!
36,902
Followers
166
Following
971
Tweets
827.4
Avg Engagement
22
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @zachcampbel'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: Mid-Tier (10K+)
- Account Age:2019-07-25
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:822
- Avg Likes per Tweet:702.9
- Avg Retweets per Tweet:124.6
- Followers Analyzed:37,135
Engagement Analysis
Based on 822 tweetsZach Campbel's tweets consistently receive high engagement, with an average of 24,935 likes and 3,720 retweets per post. This indicates a highly interactive and interested audience.
702.9
Avg Likes/Tweet
124.6
Avg Retweets/Tweet
577,749
Total Likes
102,382
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
77
Median Likes
7
Median Retweets
452
75th Percentile
71,751
Top Tweet
22.42
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
60.8%
Original
13.7%
Replies
8.9%
Retweets
16.5%
Quotes
0.0%
Threads
0.4%
With Media
74.2%
With Links
10.0%
With #Tags
48.5%
With @Mentions
30.8%
With Emojis
94
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
1.86
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 822 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 73 retweets (9% 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 822 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 37,135 followersHis audience appears to be fans of pop culture, music, and social justice topics. The mix of celebrity mentions and activism suggests a diverse and engaged following.
Good
Audience Quality
17.4%
Suspicion Index
16.8%
Low-Quality %
106
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.4%
Empty Bio
12.9%
<10 Tweets
16.3%
Mass Following (>2K)
0.0%
New (<90 days)
37.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.3%
No URL
8.1%
<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.
69,968,679
Total Potential Reach
106
Median Follower Reach
376
75th Percentile Reach
10.5%
>1K followers
1.2%
>10K followers
0.3%
>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).
74.0%
Creators
27,477 accounts
13.1%
Consumers
4,877 accounts
12.9%
Dormant
4,781 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):
103
Verified Followers
0.28% of total
6,186
Protected Accounts
16.66% 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 | 14,106,814 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LilNasX | 8,043,676 | Musician | Music, Fashion, Art |
| @verified | 4,201,657 | - | - |
| @chartdata | 1,992,995 | Music Analyst | music charts, awards, industry news |
| @PopCrave | 1,356,215 | Entertainment | Music, Entertainment, Celebrities |
| @rickeythompson | 959,206 | Comedian | Comedy, Fashion, Business |
| @NOH8Campaign | 802,126 | Activism | equality, bullying, discrimination |
| @dreamdoll | 795,827 | Rapper | Music, Fashion, Beauty |
| @SleepSkee | 711,442 | Musician | Music, Independent, Artist |
| @paul_steele | 648,147 | Travel Blogger | Travel, hiking, photography |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
27,688
Followers With Bio
9,447
Followers Without Bio
74.56%
% With Bio
25.44%
% 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 822 analyzed219,124
Combined Engagement
191,248
Total Likes
27,876
Total Retweets
43,825
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
🐝. 📸 Blue Ivy Carter https://t.co/3gX46SrRpN
Beyoncé / Megan Thee Stallion. That’s it that’s the tweet.
I rise like the Gay Phoenix I was born to be 🌈✊🏾 Happy Pride month! ALL BLACK LIVES MATTER!! https://t.co/GOYdFwZydb
I JUST MET BEYONCÉ 🥹🥹🥹 SHE GAVE ME THE BIGGEST HUG https://t.co/5pXR8Knt1A
The girls just don’t bring it like THIS ANYMORE! 😩 bitches don’t wanna make moments anymore! Just a Instagram post 😒 https://t.co/eu3CMMpSrn
Key Insights & Takeaways
His content often blends pop culture with social messages, showing a balance between entertainment and activism. He frequently references celebrities and music, suggesting a strong connection to the entertainment industry. His use of hashtags and calls to action indicates an intent to engage and mobilize his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 36,902
- + 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 @zachcampbel reveals an well-established Twitter presence with 36,902 followers. The account demonstrates a content-creator strategy, averaging 827.4 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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