TierZoo
Wildlife ecology and evolutionary biology videos through the lens of gaming
123,527
Followers
1,098
Following
8,448
Tweets
797.7
Avg Engagement
125
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TierZoo'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:2016-10-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,180
- Avg Likes per Tweet:349.8
- Avg Retweets per Tweet:447.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,180 tweetsTierZoo's tweets consistently receive high engagement, with an average of 22k likes and 1.5k retweets per post. The account's ability to spark debate and discussion contributes to its strong interaction rates.
349.8
Avg Likes/Tweet
447.9
Avg Retweets/Tweet
1,112,374
Total Likes
1,424,413
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
0
Median Retweets
295
75th Percentile
470,453
Top Tweet
6.46
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
12.1%
Original
75.6%
Replies
9.9%
Retweets
2.5%
Quotes
0.0%
Threads
0.3%
With Media
23.9%
With Links
1.4%
With #Tags
80.3%
With @Mentions
4.2%
With Emojis
112
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.26
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,180 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 314 retweets (10% 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 3,180 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 followersThe primary audience includes gamers and science enthusiasts interested in wildlife and evolution. The blend of gaming and biology appeals to both casual and hardcore gamers, as well as biology students and educators.
Average
Audience Quality
20.9%
Suspicion Index
21.0%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.7%
Empty Bio
18.6%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
59.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.2%
No URL
12.4%
<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.
5,025,273
Total Potential Reach
23
Median Follower Reach
79
75th Percentile Reach
2.7%
>1K followers
0.5%
>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).
62.4%
Creators
6,241 accounts
19.0%
Consumers
1,902 accounts
18.6%
Dormant
1,857 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):
34
Verified Followers
0.34% of total
973
Protected Accounts
9.73% of total
4 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 |
|---|---|---|---|
| @vgdunkey | 1,312,043 | YouTuber | Video Games, Comedy, Reviews |
| @Slasher | 383,423 | Esports Consultant | esports, gaming, internet culture |
| @Elijahyats | 307,052 | Music Producer | Beats, Composer, Artist |
| @brodinplett | 216,803 | - | - |
| @welyn | 132,917 | Gamer | gaming, editing videos, rapping |
| @TangoBatDraws | 115,840 | - | - |
| @JoSniffy | 102,344 | Gamer | Melee, Plant, AlpharadGold |
| @daveexplosm | 81,026 | Cartoonist | Comics, Animation, Humor |
| @crzyfkinworld | 76,243 | Activist | Politics, Sarcasm, Activism |
| @invisiblepeople | 66,563 | Advocacy | homelessness, storytelling, advocacy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,031
Followers With Bio
2,969
Followers Without Bio
70.31%
% With Bio
29.69%
% 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 3,180 analyzed857,096
Combined Engagement
62,272
Total Likes
794,824
Total Retweets
171,419
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @souljaboy: In this world you either crank that soulja boy or it cranks you
RT @irlsanri0: they are so MADDDD https://t.co/QCzM87eVgQ
RT @380kmh: 🐐 https://t.co/VRpar54Qjb
@elonmusk Just delete the whole website man, you clearly had zero understanding of why it was valuable in the first place
RT @bigmonkeong: IM CRYING https://t.co/PNaumwWcve
Key Insights & Takeaways
The account frequently engages in public debates, such as criticizing Elon Musk's website decisions Content often blends gaming culture with scientific topics, creating a unique niche TierZoo's informal and humorous tone helps make complex subjects more relatable
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 123,527
- + 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 @TierZoo reveals an well-established Twitter presence with 123,527 followers. The account demonstrates a conversation-first approach, averaging 797.7 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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