@chauhanpri2023 vs @aakankshamj5454

Side-by-side Snapchat Spotlight performance comparison.

Across the 30 and 30 Spotlight posts we have collected, @chauhanpri2023 averages 167.9K views per post and @aakankshamj5454 6.8K; engagement is 3.86% against 5.39%.

@chauhanpri2023

Priyanka Chauhan

@chauhanpri2023

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@aakankshamj5454

aakanksha_mjdi

@aakankshamj5454

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@chauhanpri2023 Metric @aakankshamj5454
516.7K Subscribers 0
30 Spotlight Posts 30
4.7M Total Views 130.1K
167.9K Avg Views / Post 6.8K
2.7M Best Post Views 50.6K
3.86% Engagement Rate (%) 5.39%
17.2K Subscribers per Post 0

What the posts and readings show

On the typical post, @chauhanpri2023 gets 5.6x the views of @aakankshamj5454 (15,260 against 2,740 for the middle post).

@chauhanpri2023: Across the 27 of its 30 collected Spotlight posts that have a view count, the middle post has 15,260 views, while the average is 174,154: a few big posts lift it, and the most-viewed one holds 57% of these views. The most-viewed post (2,674,094 views) went up on December 24, 2023. The collected posts run from December 24, 2023 to October 18, 2026. Subscribers went from 509,700 on September 16, 2026 to 516,700 on October 29, 2026 (+1.4%).

@aakankshamj5454: Across the 19 of its 30 collected Spotlight posts that have a view count, the middle post has 2,740 views, while the average is 6,847: a few big posts lift it, and the most-viewed one holds 39% of these views. The most-viewed post (50,605 views) went up on October 2, 2024. The collected posts run from August 22, 2024 to September 6, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @chauhanpri2023 and @aakankshamj5454.

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.