@ishu254183 vs @nehasaini6702

Side-by-side Snapchat Spotlight performance comparison.

@ishu254183 has 5.1K subscribers and @nehasaini6702 has 8.6K, so @nehasaini6702 has 1.7x as many. Across the 28 and 17 Spotlight posts we have collected, @ishu254183 averages 206.4K views per post and @nehasaini6702 218.9K; engagement is 5.57% against 7.44%.

@ishu254183

ishu254183

@ishu254183

(≧ᴗ≦) 🅳🅴🆅 🅺🅰 🅳🅸🆆🅰🅽🅰 ✦꧂ ꧁❤️ 𝑀𝓎 𝒷𝒾𝓇𝓉𝒽𝒹𝒶𝓎 𝟤𝟨 𝒜𝓊𝑔𝓊𝓈𝓉❤️꧂ ┈━═☆❣️ 𝑴𝒚 𝒍𝒊𝒇𝒆 🥺❣️(My insta id 🥺=@1_krishna_ka_divana_1

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@nehasaini6702

Neha Saini

@nehasaini6702

काश कोई मिले इस तरह 🥺, जो मेरी हर मुश्किल पर कहे मैं हू ना..😇❤️‍🩹

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@ishu254183 Metric @nehasaini6702
5.1K Subscribers 8.6K
28 Spotlight Posts 17
4.5M Total Views 656.8K
206.4K Avg Views / Post 218.9K
1.1M Best Post Views 655.6K
5.57% Engagement Rate (%) 7.44%
182 Subscribers per Post 506

What the posts and readings show

@ishu254183: Across the 21 of its 28 collected Spotlight posts that have a view count, the middle post has 140,959 views, below the average of 216,191, which the bigger posts pull up. The most-viewed post (1,147,606 views) went up on November 11, 2025. The collected posts run from November 11, 2025 to October 6, 2026. Subscribers went from 5,000 on September 26, 2026 to 5,100 on October 25, 2026 (+2.0%).

@nehasaini6702: Across the 2 of its 17 collected Spotlight posts that have a view count, the middle post has 328,387 views. The most-viewed post (655,571 views) went up on December 1, 2025. The collected posts run from December 1, 2025 to August 9, 2026. Subscribers went from 8,600 on September 27, 2026 to 8,600 on October 23, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @ishu254183 and @nehasaini6702.

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.