@kuldeep_jat007 vs @ruthra247556

Side-by-side Snapchat Spotlight performance comparison.

Across the 24 and 9 Spotlight posts we have collected, @kuldeep_jat007 averages 745.4K views per post and @ruthra247556 202.3K; engagement is 4.16% against 6.79%.

@kuldeep_jat007

Kuldeep Khichar

@kuldeep_jat007

अंत hi आरंभ hai ♥️ Rj 23 jatt

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@ruthra247556

Ruthra

@ruthra247556

Single world 🌎

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@kuldeep_jat007 Metric @ruthra247556
11.7K Subscribers 0
24 Spotlight Posts 9
11.2M Total Views 1.8M
745.4K Avg Views / Post 202.3K
11.1M Best Post Views 888.4K
4.16% Engagement Rate (%) 6.79%
488 Subscribers per Post 0

What the posts and readings show

On the typical post, @ruthra247556 gets 7.4x the views of @kuldeep_jat007 (17,078 against 2,314 for the middle post).

@kuldeep_jat007: Across the 14 of its 24 collected Spotlight posts that have a view count, the middle post has 2,314 views, while the average is 798,612: a few big posts lift it, and the most-viewed one holds 100% of these views. The most-viewed post (11,141,383 views) went up on January 28, 2024. The collected posts run from January 25, 2024 to July 24, 2026. Subscribers went from 11,700 on September 26, 2026 to 11,700 on October 24, 2026.

@ruthra247556: Across the 8 of its 9 collected Spotlight posts that have a view count, the middle post has 17,078 views, while the average is 227,615: a few big posts lift it, and the most-viewed one holds 49% of these views. The most-viewed post (888,398 views) went up on January 21, 2024. The collected posts run from January 13, 2024 to February 9, 2024.

Each account's full report has its growth chart, posting pattern and top posts: @kuldeep_jat007 and @ruthra247556.

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.