@abhimanika vs @niha_1229

Side-by-side Snapchat Spotlight performance comparison.

Across the 29 and 31 Spotlight posts we have collected, @abhimanika averages 125.5K views per post and @niha_1229 2.9K; engagement is 0.64% against 5.48%.

@abhimanika

Abhimanika

@abhimanika ●

Mrs. Universe 2017, Mrs. Asia Pacific Universe, Fashion , Fitness Coach , Pageant & Grooming Coach.

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@niha_1229

Niharika Gajjela

@niha_1229 ●

General surgeon👩‍⚕️ in making😇 Insta: @dr.nihaaa

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@abhimanika Metric @niha_1229
0 Subscribers 11.1K
29 Spotlight Posts 31
1.9M Total Views 38.2K
125.5K Avg Views / Post 2.9K
1.1M Best Post Views 11.6K
0.64% Engagement Rate (%) 5.48%
0 Subscribers per Post 358

What the posts and readings show

On the typical post, @abhimanika gets 1.3x the views of @niha_1229 (2,932 against 2,198 for the middle post).

@abhimanika: Across the 14 of its 29 collected Spotlight posts that have a view count, the middle post has 2,932 views, while the average is 134,515: a few big posts lift it, and the most-viewed one holds 58% of these views. The most-viewed post (1,094,209 views) went up on November 6, 2024. The collected posts run from November 6, 2024 to October 27, 2026.

@niha_1229: Across the 12 of its 31 collected Spotlight posts that have a view count, the middle post has 2,198 views, below the average of 3,183, which the bigger posts pull up. The most-viewed post (11,617 views) went up on June 25, 2026. The collected posts run from June 25, 2026 to October 21, 2026. Subscribers went from 11,000 on October 9, 2026 to 11,100 on October 27, 2026 (+0.9%).

Each account's full report has its growth chart, posting pattern and top posts: @abhimanika and @niha_1229.

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.