@h.1ii25 vs @qw7r3

Side-by-side Snapchat Spotlight performance comparison.

Across the 126 and 43 Spotlight posts we have collected, @h.1ii25 averages 101.2K views per post and @qw7r3 89.7K; engagement is 1.36% against 0.83%.

@h.1ii25

الفنان حمد || Hamad Aljabrii

@h.1ii25

Hamad Aljabri ||‎ الفنــان حمـد - ‎ فنـان و ملحـن - اشهر اعمالي - اغنية - شفاته و اناني - ➰➰ - 𝗙𝗼𝗿 𝗶𝗻𝗾𝘂𝗶𝗿𝗶𝗲𝘀 ☎️ -

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@qw7r3

ابوسامي

@qw7r3

للاعلانات والاستفسار والتواصل

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@h.1ii25 Metric @qw7r3
83.8K Subscribers 0
126 Spotlight Posts 43
2.0M Total Views 2.1M
101.2K Avg Views / Post 89.7K
704.6K Best Post Views 823.4K
1.36% Engagement Rate (%) 0.83%
665 Subscribers per Post 0

What the posts and readings show

Their typical posts are close: the middle post has 6,142 views for @h.1ii25 and 6,557 for @qw7r3.

@h.1ii25: Across the 16 of its 126 collected Spotlight posts that have a view count, the middle post has 6,142 views, while the average is 126,469: a few big posts lift it, and the most-viewed one holds 35% of these views. The most-viewed post (704,619 views) went up on July 17, 2026. The collected posts run from April 29, 2025 to October 25, 2026. Subscribers went from 75,100 on September 12, 2026 to 83,800 on October 26, 2026 (+11.6%).

@qw7r3: Across the 23 of its 43 collected Spotlight posts that have a view count, the middle post has 6,557 views, while the average is 89,726: a few big posts lift it, and the most-viewed one holds 40% of these views. The most-viewed post (823,424 views) went up on March 29, 2026. The collected posts run from April 4, 2025 to October 24, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @h.1ii25 and @qw7r3.

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.