@ramgarhia_9966 vs @omgchacha

Side-by-side Snapchat Spotlight performance comparison.

@ramgarhia_9966 has 6.9K subscribers and @omgchacha has 9.6K. Across the 38 and 5 Spotlight posts we have collected, @ramgarhia_9966 averages 120.6K views per post and @omgchacha 35.3K; engagement is 9.04% against 9.38%.

@ramgarhia_9966

Singh_DEEP✨

@ramgarhia_9966

🚩All that glitters is not GOLD🪙

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@omgchacha

OMG Chacha

@omgchacha

Follow krlo 💯🔥✈️

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@ramgarhia_9966 Metric @omgchacha
6.9K Subscribers 9.6K
38 Spotlight Posts 5
4.5M Total Views 176.5K
120.6K Avg Views / Post 35.3K
1.2M Best Post Views 64.2K
9.04% Engagement Rate (%) 9.38%
182 Subscribers per Post 1.9K

What the posts and readings show

On the typical post, @omgchacha gets 3.0x the views of @ramgarhia_9966 (42,660 against 14,266 for the middle post).

@ramgarhia_9966: Across the 37 of its 38 collected Spotlight posts that have a view count, the middle post has 14,266 views, while the average is 120,558: a few big posts lift it, and the most-viewed one holds 27% of these views. The most-viewed post (1,198,745 views) went up on June 23, 2026. The collected posts run from May 29, 2026 to October 23, 2026. Subscribers went from 5,500 on September 28, 2026 to 6,900 on October 24, 2026 (+25.5%).

@omgchacha: Across the 4 of its 5 collected Spotlight posts that have a view count, the middle post has 42,660 views, close to the average of 44,134. The most-viewed post (64,197 views) went up on July 27, 2026. The collected posts run from July 17, 2026 to August 2, 2026. Subscribers went from 7,800 on September 28, 2026 to 9,600 on October 24, 2026 (+23.1%).

Each account's full report has its growth chart, posting pattern and top posts: @ramgarhia_9966 and @omgchacha.

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.