@rukshana7514 vs @vijayfashion23

Side-by-side Snapchat Spotlight performance comparison.

Across the 15 and 31 Spotlight posts we have collected, @rukshana7514 averages 156.7K views per post and @vijayfashion23 1.4K; engagement is 9.16% against 5.24%.

@rukshana7514

Rukshana Siddique

@rukshana7514

This is me.... Now❣️ Hear it. Live it. The musical experience Begins 2.16.24.more

View full profile →
@vijayfashion23

Vijay fashion

@vijayfashion23

View full profile →
@rukshana7514 Metric @vijayfashion23
7.3K Subscribers 0
15 Spotlight Posts 31
1.6M Total Views 12.4K
156.7K Avg Views / Post 1.4K
659.1K Best Post Views 2.0K
9.16% Engagement Rate (%) 5.24%
487 Subscribers per Post 0

What the posts and readings show

On the typical post, @rukshana7514 gets 22.4x the views of @vijayfashion23 (29,368 against 1,311 for the middle post).

@rukshana7514: Across the 9 of its 15 collected Spotlight posts that have a view count, the middle post has 29,368 views, while the average is 174,056: a few big posts lift it, and the most-viewed one holds 42% of these views. The most-viewed post (659,140 views) went up on January 14, 2024. The collected posts run from January 14, 2024 to August 10, 2024. Subscribers went from 7,300 on August 19, 2026 to 7,300 on October 20, 2026.

@vijayfashion23: Across the 9 of its 31 collected Spotlight posts that have a view count, the middle post has 1,311 views, close to the average of 1,381. The most-viewed post (2,016 views) went up on February 7, 2024. The collected posts run from February 1, 2024 to February 9, 2024.

Each account's full report has its growth chart, posting pattern and top posts: @rukshana7514 and @vijayfashion23.

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.