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VM Tutorials • Audit Report
Engagement Rate
Calculated from 12 recent posts. This score indicates high audience interaction and content quality.
Average Interactions
"The profile demonstrates a video-heavy content strategy, optimize for reach."
Based on current performance metrics, this profile is expected to grow by 2.1% in the next 30 days.
Global Comparison
Analytics report generated for this Instagram profile. Data fetched from public sources.
"High engagement rate detected in early hours."
"Strong audience resonance with visual style."
"Effective use of trending keywords and hashtags."
Audience Pulse
Content performance shows strong upward momentum. Recent posts are outperforming historical averages.
Interaction Gap
The spread between likes and comments is within healthy platform benchmarks (1:40 ratio).
0.0
Posts / Day
0
Posts / Week
Monday
Peak Posting Day
Your posting consistency is calculated as low. On average, you publish 0.0 posts per day. Historically, your posts published on Monday receive the highest engagement.
The hashtags most frequently associated with this profile's content strategy.
Tags that drive the highest average likes and comments per post.
The average caption length is 729 characters. Posts with MEDIUM captions (101-500) receive the most engagement, averaging about 39 likes/comments per post.
Average engagement per post type.
Automated Analysis
Single images remain your most effective format. High-quality static visuals resonate best with your followers.
Viral Potential
Approximately 2 out of every 10 posts significantly outperform the average engagement baseline.
Consistency Score
Most content falls within the expected engagement range, indicating a reliable audience response.
Best Time to Post
Your audience is most active during the morning (6AM - 12PM). Posts published in this window receive 92 average interactions.
Expert Review • June 5, 2026 • Based on 12 Recent Posts
@vmtutorial (VM Tutorials) operates as a emerging creator within the Education category, commanding an audience of 2,465 followers while following 1,032 accounts — yielding a follower-to-following ratio of 2.4:1. This solid ratio reflects a healthy balance between community engagement and audience magnetism. With a total of 2,834 published posts and a performance score of 82.8/100, this account ranks in the top 2% of all Instagram profiles analyzed on our platform.
Across the 12 most recent posts, @vmtutorial has accumulated a combined total of 369 likes and 7 comments, translating to an average of 31 likes and 1 comments per post. The resulting engagement rate of 1.27% is considered healthy for a profile of this size. The likes-to-comments ratio stands at 31:1, suggesting that while the audience is highly responsive with likes, there is room to increase conversation-driven engagement through more interactive captions, question stickers, and call-to-action prompts.
The highest-performing post in this dataset received 135 likes and 2 comments, totaling 137 interactions — which is 428% of the average post performance. This outlier significantly outperformed the profile\'s baseline metrics.
The content portfolio shows a deliberate distribution: 5 image posts (42%) and 7 video/Reels posts (58%). This balanced approach between static imagery and video content provides a versatile content mix. The combination allows @vmtutorial to leverage the visual storytelling power of images while also capitalizing on the algorithmic boost that Reels receive in the Explore tab.
Analysis of post timestamps reveals that @vmtutorial publishes at an average frequency of 0.2 posts per week. The most active publishing window falls around 2:00 PM UTC, with Monday being the preferred day for sharing new content. This selective posting frequency suggests a quality-over-quantity approach, where each post is carefully curated before publication. While less frequent posting can reduce algorithmic exposure, it often results in higher per-post engagement when the content resonates strongly.
Several indicators point to the overall health and authenticity of @vmtutorial's audience. The follower-to-following ratio of 2.4:1 reflects a community-oriented approach where the account actively engages with peers in the space. The engagement rate of 1.27% across 2,465 followers aligns with industry standards for this follower tier. The consistency of this rate across multiple posts indicates stable audience behavior without significant bot interference or engagement manipulation. The average comment volume of 1 per post further validates that the audience is not merely passive — they are actively contributing to discussions, which Instagram's algorithm weights heavily as a quality signal.
@vmtutorial demonstrates the hallmarks of a well-managed Instagram presence. With healthy engagement (1.27%), a video-forward content strategy, and a publishing cadence of 0.2 posts per week, the profile is on a solid trajectory with clear potential for optimization in posting frequency and content diversification. The performance score of 82.8/100 places this account in an elite tier among the millions of profiles tracked in our analytics index.
Your view of @vmtutorial is completely private. No interaction traces are left on the Instagram servers.
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Common questions about our Instagram analytics methodology and profile reporting.
Our analytics engine processes public Instagram data with high precision. Engagement metrics are calculated based on the 12 most recent posts to ensure relevance.
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The 82.8 Performance Score for @vmtutorial is a metric that combines engagement rate (1.27%), posting frequency, and audience growth trends.
We analyze growth trends and engagement patterns to determine if a profile's growth is organic. This profile shows indications of high-quality organic growth.
Yes, every request is processed anonymously. We do not require you to log in with your Instagram account to view public profiles.
Our data is fetched accurately at the time of your request, ensuring you see the most up-to-date follower counts and latest posts.
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