@p90bbb vs @q-aliw

Side-by-side Snapchat Spotlight performance comparison.

Across the 91 and 148 Spotlight posts we have collected, @p90bbb averages 153.0K views per post and @q-aliw 7.5K; engagement is 1.36% against 0.90%.

@p90bbb

عبدالرحمن الغفيلي🇴🇲

@p90bbb

🟡 اللهم زدنا ولا تنقصنا✨ 🟡أشارككم بعض من تصويري ويومياتي وتغطيات💫 🟡 دعم للأسر المنتجه ( الحساب تحت إدارة قانونية )⚖️

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@q-aliw

﮼علي ﮼القرني 🎖️

@q-aliw

لان النعم لاتدوم رحلت أمي🪡

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@p90bbb Metric @q-aliw
22.4K Subscribers 0
91 Spotlight Posts 148
1.7M Total Views 82.7K
153.0K Avg Views / Post 7.5K
739.2K Best Post Views 73.0K
1.36% Engagement Rate (%) 0.90%
246 Subscribers per Post 0

What the posts and readings show

On the typical post, @q-aliw gets 1.4x the views of @p90bbb (1,939 against 1,416 for the middle post).

@p90bbb: Across the 9 of its 91 collected Spotlight posts that have a view count, the middle post has 1,416 views, while the average is 187,012: a few big posts lift it, and the most-viewed one holds 44% of these views. The most-viewed post (739,226 views) went up on September 30, 2024. The collected posts run from September 30, 2024 to October 12, 2026. Subscribers went from 23,000 on May 15, 2026 to 22,400 on October 22, 2026 (-2.6%).

@q-aliw: Across the 5 of its 148 collected Spotlight posts that have a view count, the middle post has 1,939 views, while the average is 16,530: a few big posts lift it, and the most-viewed one holds 88% of these views. The most-viewed post (72,964 views) went up on July 9, 2026. The collected posts run from April 24, 2026 to October 19, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @p90bbb and @q-aliw.

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.