@ahmadal1987 vs @hanialsahli2020

Side-by-side Snapchat Spotlight performance comparison.

Across the 71 and 91 Spotlight posts we have collected, @ahmadal1987 averages 51.2K views per post and @hanialsahli2020 7.7K; engagement is 0.70% against 0.70%.

@ahmadal1987

ابو علي عالم المواشي

@ahmadal1987

سناب عالم المواشي مهتم في جميع مايخدم أهل الحلال من تغطية مزادات وزيارات لمربين وعروض للحلال ترخيص اعلامي (652378)

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@hanialsahli2020

أبوريم ملك العدسة

@hanialsahli2020

مرخص من هيئة تنظيم الإعلام رقم 939443 محب لمهنة الأنبياء… لتواصل

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@ahmadal1987 Metric @hanialsahli2020
0 Subscribers 0
71 Spotlight Posts 91
3.0M Total Views 635.3K
51.2K Avg Views / Post 7.7K
1.7M Best Post Views 170.9K
0.70% Engagement Rate (%) 0.70%
0 Subscribers per Post 0

What the posts and readings show

On the typical post, @ahmadal1987 gets 1.7x the views of @hanialsahli2020 (3,923 against 2,250 for the middle post).

@ahmadal1987: Across the 59 of its 71 collected Spotlight posts that have a view count, the middle post has 3,923 views, while the average is 51,159: a few big posts lift it, and the most-viewed one holds 55% of these views. The most-viewed post (1,674,564 views) went up on May 28, 2026. The collected posts run from October 14, 2024 to November 1, 2026.

@hanialsahli2020: Across the 81 of its 91 collected Spotlight posts that have a view count, the middle post has 2,250 views, while the average is 7,843: a few big posts lift it, and the most-viewed one holds 27% of these views. The most-viewed post (170,923 views) went up on November 5, 2025. The collected posts run from September 21, 2025 to October 30, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @ahmadal1987 and @hanialsahli2020.

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.