@chennai_abbai vs @rohit20941

Side-by-side Snapchat Spotlight performance comparison.

Across the 37 and 23 Spotlight posts we have collected, @chennai_abbai averages 108.3K views per post and @rohit20941 53.8K; engagement is 3.32% against 2.08%.

@chennai_abbai

The Guy 🫀

@chennai_abbai

Not everyone can handle and afford me 🫀

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@rohit20941

ʀᴏʜɪᴛ 😘

@rohit20941

Romantic 💗 Movie 🎥 Clips 😍

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@chennai_abbai Metric @rohit20941
0 Subscribers 11.2K
37 Spotlight Posts 23
2.8M Total Views 860.5K
108.3K Avg Views / Post 53.8K
1.3M Best Post Views 454.6K
3.32% Engagement Rate (%) 2.08%
0 Subscribers per Post 487

What the posts and readings show

On the typical post, @rohit20941 gets 2.5x the views of @chennai_abbai (12,819 against 5,142 for the middle post).

@chennai_abbai: Across the 25 of its 37 collected Spotlight posts that have a view count, the middle post has 5,142 views, while the average is 112,667: a few big posts lift it, and the most-viewed one holds 48% of these views. The most-viewed post (1,342,638 views) went up on July 24, 2026. The collected posts run from July 24, 2026 to November 1, 2026.

@rohit20941: Across the 15 of its 23 collected Spotlight posts that have a view count, the middle post has 12,819 views, while the average is 57,365: a few big posts lift it, and the most-viewed one holds 53% of these views. The most-viewed post (454,563 views) went up on September 7, 2026. The collected posts run from August 7, 2026 to October 12, 2026. Subscribers went from 8,000 on September 12, 2026 to 11,200 on October 27, 2026 (+40.0%).

Each account's full report has its growth chart, posting pattern and top posts: @chennai_abbai and @rohit20941.

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.