@x_a7mad16 vs @i9.um

Side-by-side Snapchat Spotlight performance comparison.

Across the 36 and 59 Spotlight posts we have collected, @x_a7mad16 averages 104.7K views per post and @i9.um 94.3K; engagement is 2.70% against 1.91%.

@x_a7mad16

احمد بن هشام 🇸🇦

@x_a7mad16

‏"كُلُّ شَيء يَصدُرُ مِنك عائِدٌ إلَيك." رخصة موثوق وفال✔️ للإعلانات التواصل مع المنسق واتس :↘️ 📲

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@i9.um

ابو داحم

@i9.um ●

تواجدت لأكون أنا ✨ ليس بآخر رقم إدارة الأعمال :

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@x_a7mad16 Metric @i9.um
186.8K Subscribers 0
36 Spotlight Posts 59
3.6M Total Views 5.6M
104.7K Avg Views / Post 94.3K
2.0M Best Post Views 1.3M
2.70% Engagement Rate (%) 1.91%
5.2K Subscribers per Post 0

What the posts and readings show

On the typical post, @i9.um gets 5.5x the views of @x_a7mad16 (22,503 against 4,090 for the middle post).

@x_a7mad16: Across the 34 of its 36 collected Spotlight posts that have a view count, the middle post has 4,090 views, while the average is 104,681: a few big posts lift it, and the most-viewed one holds 55% of these views. The most-viewed post (1,969,600 views) went up on March 26, 2024. The collected posts run from March 26, 2024 to October 23, 2026. Subscribers went from 188,400 on September 10, 2026 to 186,800 on October 24, 2026 (-0.8%).

@i9.um: Across all 59 of the Spotlight posts we have collected, the middle post has 22,503 views, while the average is 94,348: a few big posts lift it, and the most-viewed one holds 24% of these views. The most-viewed post (1,344,452 views) went up on October 10, 2026. The collected posts run from March 13, 2026 to October 17, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @x_a7mad16 and @i9.um.

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.