@uff_gaurav001 vs @shubham76143

Side-by-side Snapchat Spotlight performance comparison.

Across the 31 and 7 Spotlight posts we have collected, @uff_gaurav001 averages 183.2K views per post and @shubham76143 469.1K; engagement is 8.81% against 9.00%.

@uff_gaurav001

Gaurav Gill

@uff_gaurav001

Respect for girl πŸ‘§πŸ’― ONLY ONE PARSONπŸ’— MY wife 🫢🏻🧿 Ig:ufff_gaurav001🫢🏻

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@shubham76143

Shubham Dhayal

@shubham76143

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@uff_gaurav001 Metric @shubham76143
22.7K Subscribers 0
31 Spotlight Posts 7
5.1M Total Views 3.3M
183.2K Avg Views / Post 469.1K
2.0M Best Post Views 2.0M
8.81% Engagement Rate (%) 9.00%
732 Subscribers per Post 0

What the posts and readings show

On the typical post, @shubham76143 gets 7.0x the views of @uff_gaurav001 (350,124 against 50,118 for the middle post).

@uff_gaurav001: Across the 28 of its 31 collected Spotlight posts that have a view count, the middle post has 50,118 views, while the average is 183,181: a few big posts lift it, and the most-viewed one holds 40% of these views. The most-viewed post (2,033,115 views) went up on February 19, 2024. The collected posts run from February 10, 2024 to September 28, 2026. Subscribers went from 22,800 on July 27, 2026 to 22,700 on October 25, 2026 (-0.4%).

@shubham76143: Across the 6 of its 7 collected Spotlight posts that have a view count, the middle post has 350,124 views, below the average of 547,226, which the bigger posts pull up. The most-viewed post (2,016,890 views) went up on January 20, 2024. The collected posts run from January 18, 2024 to January 22, 2024.

Each account's full report has its growth chart, posting pattern and top posts: @uff_gaurav001 and @shubham76143.

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 Γ— 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.