@suvii_01 vs @divyabharati_29

Side-by-side Snapchat Spotlight performance comparison.

@suvii_01 has 299.7K subscribers and @divyabharati_29 has 57.4K, so @suvii_01 has 5.2x as many. Across the 15 and 25 Spotlight posts we have collected, @suvii_01 averages 191.0K views per post and @divyabharati_29 1.5K; engagement is 3.88% against 13.39%.

@suvii_01

Suvi❤️

@suvii_01

Insta: @zuviiixx Just me,myself and I 🌸🧿

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@divyabharati_29

Divya Bharati

@divyabharati_29

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@suvii_01 Metric @divyabharati_29
299.7K Subscribers 57.4K
15 Spotlight Posts 25
2.9M Total Views 4.4K
191.0K Avg Views / Post 1.5K
2.7M Best Post Views 1.7K
3.88% Engagement Rate (%) 13.39%
20.0K Subscribers per Post 2.3K

What the posts and readings show

On the typical post, @suvii_01 gets 9.4x the views of @divyabharati_29 (13,804 against 1,472 for the middle post).

@suvii_01: Across the 14 of its 15 collected Spotlight posts that have a view count, the middle post has 13,804 views, while the average is 204,603: a few big posts lift it, and the most-viewed one holds 93% of these views. The most-viewed post (2,672,530 views) went up on April 8, 2025. The collected posts run from April 8, 2025 to August 18, 2026. Subscribers went from 299,500 on October 17, 2026 to 299,700 on October 21, 2026 (+0.1%).

@divyabharati_29: Across the 3 of its 25 collected Spotlight posts that have a view count, the middle post has 1,472 views, close to the average of 1,462. The most-viewed post (1,675 views) went up on October 11, 2026. The collected posts run from September 28, 2026 to October 13, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @suvii_01 and @divyabharati_29.

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.