@ssl0064 vs @rouh_estate

Side-by-side Snapchat Spotlight performance comparison.

Across the 22 and 38 Spotlight posts we have collected, @ssl0064 averages 92.0K views per post and @rouh_estate 80.1K; engagement is 1.05% against 1.46%.

@ssl0064

عبدالله ال فهيد/عقار ومجتمع

@ssl0064

عقار ومجتمع/ خبرات إدارية تعليم وادارة وتطوير قطاعات وشركات مسوق عقاري فال رخصة إعلامية 817274 تسويق تغطيات دعم التواصل /

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@rouh_estate

روح العقارية

@rouh_estate

منصة تسويقية متخصصة بالمحتوى العقاري : (نـاقـل أخـبـار _ تـثـقـيـف _ تـسويـق) رخـصـة فـال | 📄 للتواصل واتساب |

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@ssl0064 Metric @rouh_estate
0 Subscribers 0
22 Spotlight Posts 38
1.8M Total Views 3.0M
92.0K Avg Views / Post 80.1K
499.2K Best Post Views 1.4M
1.05% Engagement Rate (%) 1.46%
0 Subscribers per Post 0

What the posts and readings show

On the typical post, @ssl0064 gets 3.1x the views of @rouh_estate (12,219 against 3,908 for the middle post).

@ssl0064: Across the 20 of its 22 collected Spotlight posts that have a view count, the middle post has 12,219 views, while the average is 91,989: a few big posts lift it, and the most-viewed one holds 27% of these views. The most-viewed post (499,169 views) went up on July 9, 2025. The collected posts run from June 29, 2024 to October 17, 2026.

@rouh_estate: Across the 36 of its 38 collected Spotlight posts that have a view count, the middle post has 3,908 views, while the average is 82,283: a few big posts lift it, and the most-viewed one holds 49% of these views. The most-viewed post (1,449,261 views) went up on October 6, 2025. The collected posts run from October 6, 2025 to October 14, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @ssl0064 and @rouh_estate.

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.