@monash93 vs @aishaxinfo

Side-by-side Snapchat Spotlight performance comparison.

Across the 59 and 120 Spotlight posts we have collected, @monash93 averages 82.3K views per post and @aishaxinfo 11.6K; engagement is 2.72% against 1.19%.

@monash93

منى الشهري🇸🇦⚔️

@monash93 ●

مُنى | Lifestyle Influencer ✨ من قلب الرياض 🇸🇦 للاستفسارات التجارية والتعاون: [الرقم] 📱 رخصة موثوق: 428662🪄

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@aishaxinfo

مكتبة عائشة📚

@aishaxinfo

فتاة سعوديةI 🇸🇦 أوثق يومياتي I محبة للقصائد والقصص I تغطيات الأعمال التواصل على الإيميل 📬📧

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@monash93 Metric @aishaxinfo
0 Subscribers 0
59 Spotlight Posts 120
4.5M Total Views 650.5K
82.3K Avg Views / Post 11.6K
1.9M Best Post Views 180.4K
2.72% Engagement Rate (%) 1.19%
0 Subscribers per Post 0

What the posts and readings show

On the typical post, @monash93 gets 1.4x the views of @aishaxinfo (3,137 against 2,191 for the middle post).

@monash93: Across the 54 of its 59 collected Spotlight posts that have a view count, the middle post has 3,137 views, while the average is 83,875: a few big posts lift it, and the most-viewed one holds 41% of these views. The most-viewed post (1,856,957 views) went up on April 15, 2026. The collected posts run from December 30, 2025 to October 26, 2026.

@aishaxinfo: Across the 55 of its 120 collected Spotlight posts that have a view count, the middle post has 2,191 views, while the average is 11,828: a few big posts lift it, and the most-viewed one holds 28% of these views. The most-viewed post (180,412 views) went up on March 16, 2026. The collected posts run from March 16, 2026 to October 24, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @monash93 and @aishaxinfo.

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.