Omar Ahmad Zaheer, DVM
🏝 Survivor 42 Castaway 🇨🇦 🇮🇳 ☪️ Avian & Exotic Veterinarian at @vcacanada 404 Veterinary Referral and Emergency Hospital 🐇 🦜 🦢 🦅 🦔 🐓 🐍
15,196
Followers
597
Following
4,306
Tweets
46.8
Avg Engagement
102
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @omarzaheerdvm'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:2021-04-08
- Verification:No
- Location:Whitby, Ontario
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:45.3
- Avg Retweets per Tweet:1.5
- Followers Analyzed:13,829
Engagement Analysis
Based on 598 tweetsHis tweets typically receive a moderate number of likes and retweets, indicating a consistent but not highly interactive audience. The engagement is likely driven by his niche expertise and personal storytelling.
45.3
Avg Likes/Tweet
1.5
Avg Retweets/Tweet
27,101
Total Likes
901
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
0
Median Retweets
37
75th Percentile
2,884
Top Tweet
3.08
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
22.4%
Original
67.6%
Replies
2.8%
Retweets
7.2%
Quotes
0.0%
Threads
0.0%
With Media
25.1%
With Links
21.6%
With #Tags
69.6%
With @Mentions
23.4%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.01
Reply/Original Ratio
2.53
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.4%
Weekday Posts
26.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 17 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 598 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 13,829 followersHis audience includes veterinary professionals and enthusiasts, as well as fans of reality TV shows like Survivor. The mix of professional and personal content appeals to a diverse group of followers.
Good
Audience Quality
16.4%
Suspicion Index
18.8%
Low-Quality %
88
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.8%
Empty Bio
10.5%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
38.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.8%
No URL
6.7%
<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.
13,574,085
Total Potential Reach
88
Median Follower Reach
276
75th Percentile Reach
7.8%
>1K followers
1.3%
>10K followers
0.3%
>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).
75.7%
Creators
10,464 accounts
13.8%
Consumers
1,909 accounts
10.5%
Dormant
1,456 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):
193
Verified Followers
1.4% of total
2,028
Protected Accounts
14.66% 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 |
|---|---|---|---|
| @ZachBoychuk | 830,538 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @iownjd | 779,541 | Lawyer | learn, inspire, engage |
| @survivorcbs | 615,078 | TV Show | Reality TV, Competition, Adventure |
| @IamMzilikazi | 540,029 | Musician | Pan-African music, Album, Rise |
| @tyleriacona | 349,584 | - | - |
| @JanellePierzina | 265,426 | Realtor | Reality TV, Realtor, Mommy |
| @GeeNelly | 255,956 | Content Creator | Gaming, Content Creation, Esports |
| @sylveemhm | 229,988 | Influencer | professional, girl, 🐙 |
| @GlobalTV | 229,090 | Media | TV, Stream, Tweet |
| @TomScibelli | 195,215 | Sports Media | Barstool Sports, Survivor, Vape God |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,561
Followers With Bio
4,268
Followers Without Bio
69.14%
% With Bio
30.86%
% 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 598 analyzed6,105
Combined Engagement
6,018
Total Likes
87
Total Retweets
1,221
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
@Brian_Scally You sir are wrong and have earned one goose burder for this
This isn’t the first time Nick has been on the winning side of a wrong vote 👀
I love Carolyn’s self awareness and analytical capability it’s incredible. She has maybe the best reads on average this season #survivor44
I missed a call from Rocksroy it’s like missing a lunar eclipse 😭
I need to know Sarah’s reaction when she found out it was fake 😭 #survivor44
Key Insights & Takeaways
He blends professional expertise with personal interests, creating a unique content mix. His Twitter activity reflects a balance between career and entertainment, appealing to multiple audiences. He uses humor and emotional expressions to connect with followers, enhancing relatability.
Strengths
- + Established follower base of 15,196
- + 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 @omarzaheerdvm reveals an growing Twitter presence with 15,196 followers. The account demonstrates a conversation-first approach, averaging 46.8 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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