@ezzyhacks vs @yogawith_rajput

Side-by-side Snapchat Spotlight performance comparison.

Across the 192 and 30 Spotlight posts we have collected, @ezzyhacks averages 123.2K views per post and @yogawith_rajput 54.9K; engagement is 1.49% against 2.05%.

@ezzyhacks

Ezzy Hacks

@ezzyhacks

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@yogawith_rajput

Yogawith Rajput2312

@yogawith_rajput

Health/beauty ॐ सनातन धर्म🚩 DM for collaboration Government yoga trainer Diet plans & health needs Yoga girl🧘‍♀️ Yoga||fitness|| lifestyle

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@ezzyhacks Metric @yogawith_rajput
0 Subscribers 17.6K
192 Spotlight Posts 30
22.2M Total Views 1.3M
123.2K Avg Views / Post 54.9K
7.6M Best Post Views 409.1K
1.49% Engagement Rate (%) 2.05%
0 Subscribers per Post 587

What the posts and readings show

On the typical post, @yogawith_rajput gets 2.5x the views of @ezzyhacks (14,588 against 5,949 for the middle post).

@ezzyhacks: Across the 179 of its 192 collected Spotlight posts that have a view count, the middle post has 5,949 views, while the average is 123,915: a few big posts lift it, and the most-viewed one holds 34% of these views. The most-viewed post (7,635,359 views) went up on March 28, 2026. The collected posts run from January 3, 2026 to October 23, 2026.

@yogawith_rajput: Across the 24 of its 30 collected Spotlight posts that have a view count, the middle post has 14,588 views, while the average is 54,892: a few big posts lift it, and the most-viewed one holds 31% of these views. The most-viewed post (409,131 views) went up on July 13, 2026. The collected posts run from July 10, 2026 to July 24, 2026.

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

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.