Zack Britton
Husband, Father, Left-Handed
59,779
Followers
167
Following
1,465
Tweets
254.9
Avg Engagement
687
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @zbritton'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:2009-08-08
- Verification:No
- Location:Texas
Data Summary
- Tweets Analyzed:1,430
- Avg Likes per Tweet:151.2
- Avg Retweets per Tweet:103.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,430 tweetsHis tweets receive an average of 9,836 likes and 1,286 retweets, indicating a highly engaged audience. The high engagement suggests that his content resonates well with his followers.
151.2
Avg Likes/Tweet
103.7
Avg Retweets/Tweet
216,172
Total Likes
148,321
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
38
75th Percentile
17,955
Top Tweet
4.26
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
29.0%
Original
28.4%
Replies
39.7%
Retweets
2.9%
Quotes
0.0%
Threads
1.0%
With Media
37.1%
With Links
34.3%
With #Tags
79.7%
With @Mentions
6.6%
With Emojis
100
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.98
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.5%
Weekday Posts
31.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,430 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 568 retweets (40% 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 1,430 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 10,000 followersHis audience includes sports fans, particularly those interested in baseball, and individuals who appreciate personal stories and updates. The audience also seems to value authenticity and relatability.
Average
Audience Quality
22.6%
Suspicion Index
24.4%
Low-Quality %
62
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
16.6%
<10 Tweets
16.3%
Mass Following (>2K)
0.0%
New (<90 days)
51.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
10.8%
<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.
25,083,096
Total Potential Reach
62
Median Follower Reach
211
75th Percentile Reach
6.2%
>1K followers
0.9%
>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).
66.3%
Creators
6,631 accounts
17.1%
Consumers
1,707 accounts
16.6%
Dormant
1,662 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):
84
Verified Followers
0.84% of total
1,097
Protected Accounts
10.97% 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 |
|---|---|---|---|
| @JohnCena | 14,075,189 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DickieV | 949,199 | Sportscaster | Basketball, Broadcasting, Philanthropy |
| @JonHeyman | 837,064 | Sports journalist | MLB, Northwestern, Tennis |
| @mchooyah | 598,659 | Navy SEAL | Military, Sniper, Beer |
| @TheJudge44 | 537,939 | Baseball | Faith, Family, Baseball |
| @JoseCanseco | 505,896 | Athlete | Baseball, Author, Speaker |
| @TheAthletic | 415,948 | Sports journalism | Sports, Stories, News |
| @RobertIrvine | 403,761 | Chef | Cooking, Challenges, Philanthropy |
| @RealMichaelKay | 311,441 | Sports Broadcaster | Sports, Radio, Yankees |
| @ESPNRadio | 293,826 | Sports Broadcaster | Sports, News, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,204
Followers With Bio
3,796
Followers Without Bio
62.04%
% With Bio
37.96%
% 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 1,430 analyzed72,653
Combined Engagement
52,732
Total Likes
19,921
Total Retweets
14,531
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
Very excited to continue the pursuit of a championship with the @Yankees
Excited and Honored to put on the pinstripes. @Yankees https://t.co/rfyvsfIir6
RT @MikeTrout: Regarding The MLB Lockout: https://t.co/QQUC1pWr5F
My Goodbye to Birdland... @Orioles https://t.co/TvrTMxFJax
When will we care about the protection of our children above everything else? Children shouldn’t be gunned down in school. It’s absolutely unacceptable that this is continuing to happen. These children represent our country’s future, our hopes, our dreams.
Key Insights & Takeaways
He frequently shares personal and professional milestones, which likely contribute to his high engagement. His verified status is low, suggesting he may not be a public figure or brand. He uses Twitter to connect with fans and share significant life events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,779
- + 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 @zbritton reveals an well-established Twitter presence with 59,779 followers. The account demonstrates a content-creator strategy, averaging 254.9 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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