@shinysunshine01 vs @anu_parmar8613

Side-by-side Snapchat Spotlight performance comparison.

Across the 14 and 16 Spotlight posts we have collected, @shinysunshine01 averages 112.5K views per post and @anu_parmar8613 72.8K; engagement is 10.34% against 11.92%.

@shinysunshine01

sunshine๐ŸŒž๐Ÿ’›

@shinysunshine01

๐Ÿ™๐Ÿป๐Ÿ™๐ŸปHar har Mahadev ๐Ÿšฉ๐Ÿšฉ Behind every smile is a story you'll never understand๐Ÿ˜Š...

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@anu_parmar8613

โˆ† A N U S H K A โˆ†

@anu_parmar8613

Selectives only

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@shinysunshine01 Metric @anu_parmar8613
0 Subscribers 5.1K
14 Spotlight Posts 16
1.3M Total Views 436.9K
112.5K Avg Views / Post 72.8K
758.0K Best Post Views 210.9K
10.34% Engagement Rate (%) 11.92%
0 Subscribers per Post 319

What the posts and readings show

On the typical post, @anu_parmar8613 gets 24.9x the views of @shinysunshine01 (45,550 against 1,828 for the middle post).

@shinysunshine01: Across the 11 of its 14 collected Spotlight posts that have a view count, the middle post has 1,828 views, while the average is 122,714: a few big posts lift it, and the most-viewed one holds 56% of these views. The most-viewed post (758,032 views) went up on February 2, 2024. The collected posts run from February 2, 2024 to February 11, 2025.

@anu_parmar8613: Across the 6 of its 16 collected Spotlight posts that have a view count, the middle post has 45,550 views, below the average of 72,818, which the bigger posts pull up. The most-viewed post (210,892 views) went up on January 30, 2024. The collected posts run from January 30, 2024 to September 6, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @shinysunshine01 and @anu_parmar8613.

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 ร— 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.