@aqvip1 vs @qzpmtv

Side-by-side Snapchat Spotlight performance comparison.

Across the 36 and 51 Spotlight posts we have collected, @aqvip1 averages 60.6K views per post and @qzpmtv 8.2K; engagement is 0.95% against 0.72%.

@aqvip1

أحمد بن شلغم/للمعدات والشاحنات

@aqvip1

‏ بيع وشراء الشاحنات والمعدات الثقيلة جمله وتفريد ⭐️خدمات نقل الملكيله للشاحنات والمعدات وجميع مايخصها⭐️ الرياض السلي واتساب

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@qzpmtv

الشاعرعلي شويل 🎗

@qzpmtv

علي شويل🎗

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@aqvip1 Metric @qzpmtv
110.3K Subscribers 0
36 Spotlight Posts 51
1.6M Total Views 311.9K
60.6K Avg Views / Post 8.2K
1.4M Best Post Views 188.4K
0.95% Engagement Rate (%) 0.72%
3.1K Subscribers per Post 0

What the posts and readings show

On the typical post, @aqvip1 gets 1.4x the views of @qzpmtv (2,312 against 1,711 for the middle post).

@aqvip1: Across the 26 of its 36 collected Spotlight posts that have a view count, the middle post has 2,312 views, while the average is 60,571: a few big posts lift it, and the most-viewed one holds 86% of these views. The most-viewed post (1,354,330 views) went up on April 15, 2026. The collected posts run from January 11, 2026 to October 20, 2026. Subscribers went from 110,600 on October 13, 2026 to 110,300 on October 20, 2026 (-0.3%).

@qzpmtv: Across the 37 of its 51 collected Spotlight posts that have a view count, the middle post has 1,711 views, while the average is 8,429: a few big posts lift it, and the most-viewed one holds 60% of these views. The most-viewed post (188,418 views) went up on July 2, 2026. The collected posts run from July 2, 2026 to October 22, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @aqvip1 and @qzpmtv.

Methodology: the figures cover the Spotlight posts SnapDataHub has collected for each account, not every post it has made. Averages and the middle (median) post use only posts that came with a view count. Engagement rate = (likes + comments) / views × 100 over the collected posts. Subscriber counts are Snapchat's own; it rounds counts of 1 million or more to the nearest 100,000. How we calculate these numbers.