@salondivine24 vs @bunny_mrbunn12

Side-by-side Snapchat Spotlight performance comparison.

Across the 31 and 31 Spotlight posts we have collected, @salondivine24 averages 344.2K views per post and @bunny_mrbunn12 15.4K; engagement is 4.91% against 7.74%.

@salondivine24

Salon Divine🗡️

@salondivine24

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@bunny_mrbunn12

Bunny_mrbunn

@bunny_mrbunn12

Digital creater/ teddy bear shops

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@salondivine24 Metric @bunny_mrbunn12
0 Subscribers 41.3K
31 Spotlight Posts 31
10.7M Total Views 462.1K
344.2K Avg Views / Post 15.4K
2.2M Best Post Views 184.6K
4.91% Engagement Rate (%) 7.74%
0 Subscribers per Post 1.3K

What the posts and readings show

On the typical post, @salondivine24 gets 55.2x the views of @bunny_mrbunn12 (95,866 against 1,738 for the middle post).

@salondivine24: Across the 30 of its 31 collected Spotlight posts that have a view count, the middle post has 95,866 views, while the average is 355,661: a few big posts lift it, and the most-viewed one holds 21% of these views. The most-viewed post (2,241,263 views) went up on January 7, 2024. The collected posts run from January 3, 2024 to January 27, 2024.

@bunny_mrbunn12: Across the 30 of its 31 collected Spotlight posts that have a view count, the middle post has 1,738 views, while the average is 15,402: a few big posts lift it, and the most-viewed one holds 40% of these views. The most-viewed post (184,587 views) went up on May 20, 2025. The collected posts run from December 12, 2024 to June 17, 2025. Subscribers went from 41,400 on May 11, 2026 to 41,300 on July 1, 2026 (-0.2%).

Each account's full report has its growth chart, posting pattern and top posts: @salondivine24 and @bunny_mrbunn12.

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.