@sriiishshukla vs @srishukla

Side-by-side Snapchat Spotlight performance comparison.

Across the 11 and 9 Spotlight posts we have collected, @sriiishshukla averages 100.1K views per post and @srishukla 954; engagement is 2.57% against 8.67%.

@sriiishshukla

Sriiish Shukla

@sriiishshukla

Data wizard / YouTube insta:sriiishh bhopal / banglore / hyderabad my YouTube channel____๐Ÿ‘‰appopener. Com/yt/kozyoz5z

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@srishukla

Srish Shukla

@srishukla โ—

I'm Srish and I share so much more of my life here than any other platforms ๐Ÿ˜‰

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@sriiishshukla Metric @srishukla
23.4K Subscribers 0
11 Spotlight Posts 9
1.1M Total Views 3.8K
100.1K Avg Views / Post 954
724.8K Best Post Views 1.5K
2.57% Engagement Rate (%) 8.67%
2.1K Subscribers per Post 0

What the posts and readings show

On the typical post, @sriiishshukla gets 16.4x the views of @srishukla (19,986 against 1,217 for the middle post).

@sriiishshukla: Across the 10 of its 11 collected Spotlight posts that have a view count, the middle post has 19,986 views, while the average is 110,097: a few big posts lift it, and the most-viewed one holds 66% of these views. The most-viewed post (724,805 views) went up on August 8, 2022. The collected posts run from August 7, 2022 to August 26, 2022. Subscribers went from 23,300 on October 10, 2026 to 23,400 on October 21, 2026 (+0.4%).

@srishukla: Across the 3 of its 9 collected Spotlight posts that have a view count, the middle post has 1,217 views, close to the average of 1,273. The most-viewed post (1,504 views) went up on June 25, 2026. The collected posts run from June 19, 2026 to September 11, 2026.

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

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.