@a.b888 vs @rashed.alderei

Side-by-side Snapchat Spotlight performance comparison.

Across the 50 and 20 Spotlight posts we have collected, @a.b888 averages 61.6K views per post and @rashed.alderei 2.0K; engagement is 0.44% against 0.57%.

@a.b888

ابوعابد الدرعي 📸🇴🇲

@a.b888

🔺اوثق الاحداث والفعاليات 📸🎥 🔺محب للشعر والشعراء 🥹 🔺شغوف بعالم التصوير 📸 📽️🛸 🔺مصمم فيديو 📼🎥 🔺 للتواصل خاص ❤️✅

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@rashed.alderei

راشد بطي الدرعي رحال وباحث في

@rashed.alderei

تربوي جامعي ومدرب معتمد مدير مدرسه خبره متنوعه في المجال التربوي والتطوعي.ورحال وباحث للتاريخ والتراث ومطارد للأمطار ومحب للطبيعة

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@a.b888 Metric @rashed.alderei
0 Subscribers 59.3K
50 Spotlight Posts 20
1.5M Total Views 12.0K
61.6K Avg Views / Post 2.0K
651.7K Best Post Views 3.7K
0.44% Engagement Rate (%) 0.57%
0 Subscribers per Post 3.0K

What the posts and readings show

Their typical posts are close: the middle post has 1,628 views for @a.b888 and 1,691 for @rashed.alderei.

@a.b888: Across the 24 of its 50 collected Spotlight posts that have a view count, the middle post has 1,628 views, while the average is 61,648: a few big posts lift it, and the most-viewed one holds 44% of these views. The most-viewed post (651,696 views) went up on September 13, 2025. The collected posts run from August 14, 2025 to October 26, 2026.

@rashed.alderei: Across the 6 of its 20 collected Spotlight posts that have a view count, the middle post has 1,691 views, close to the average of 1,999. The most-viewed post (3,749 views) went up on June 8, 2026. The collected posts run from June 8, 2026 to September 21, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @a.b888 and @rashed.alderei.

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.