@ghaya_ml vs @salem123_1

Side-by-side Snapchat Spotlight performance comparison.

@ghaya_ml has 899.4K subscribers and @salem123_1 has 25.8K, so @ghaya_ml has 34.9x as many. Across the 103 and 17 Spotlight posts we have collected, @ghaya_ml averages 252.1K views per post and @salem123_1 1.8K; engagement is 3.00% against 5.55%.

@ghaya_ml

عائلة غايه

@ghaya_ml

‎🇸🇦🤍 عائلتي عالمي 🌟‎ موثوق | 478562 Business inquiries 📞 📩 📍 Jeddah - KSA

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@salem123_1

Salem 🎼

@salem123_1

Traveler and photographer

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@ghaya_ml Metric @salem123_1
899.4K Subscribers 25.8K
103 Spotlight Posts 17
26.0M Total Views 7.0K
252.1K Avg Views / Post 1.8K
2.3M Best Post Views 2.2K
3.00% Engagement Rate (%) 5.55%
8.7K Subscribers per Post 1.5K

What the posts and readings show

On the typical post, @ghaya_ml gets 59.3x the views of @salem123_1 (104,916 against 1,768 for the middle post).

@ghaya_ml: Across all 103 of the Spotlight posts we have collected, the middle post has 104,916 views, while the average is 252,059: a few big posts lift it, and the most-viewed one holds 9% of these views. The most-viewed post (2,346,056 views) went up on March 22, 2026. The collected posts run from December 22, 2025 to October 19, 2026. Subscribers went from 771,900 on May 16, 2026 to 899,400 on October 26, 2026 (+16.5%).

@salem123_1: Across the 4 of its 17 collected Spotlight posts that have a view count, the middle post has 1,768 views, close to the average of 1,754. The most-viewed post (2,243 views) went up on April 15, 2026. The collected posts run from September 16, 2025 to June 18, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @ghaya_ml and @salem123_1.

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.