@macupandfashion vs @rachana17818

Side-by-side Snapchat Spotlight performance comparison.

Across the 16 and 19 Spotlight posts we have collected, @macupandfashion averages 102.3K views per post and @rachana17818 400.5K; engagement is 4.33% against 4.20%.

@macupandfashion

Palak Macup

@macupandfashion

This is mackup not a facke

View full profile →
@rachana17818

𝐁𝐞𝐚𝐮𝐭𝐲 𝐦𝐚𝐤𝐞𝐮𝐩

@rachana17818

Beauty Tips And Tricks ✨

View full profile →
@macupandfashion Metric @rachana17818
0 Subscribers 88.2K
16 Spotlight Posts 19
1.6M Total Views 4.8M
102.3K Avg Views / Post 400.5K
973.8K Best Post Views 2.2M
4.33% Engagement Rate (%) 4.20%
0 Subscribers per Post 4.6K

What the posts and readings show

On the typical post, @rachana17818 gets 3.1x the views of @macupandfashion (19,700 against 6,302 for the middle post).

@macupandfashion: Across all 16 of the Spotlight posts we have collected, the middle post has 6,302 views, while the average is 102,333: a few big posts lift it, and the most-viewed one holds 59% of these views. The most-viewed post (973,814 views) went up on February 18, 2025. The collected posts run from February 18, 2025 to February 18, 2025.

@rachana17818: Across the 12 of its 19 collected Spotlight posts that have a view count, the middle post has 19,700 views, while the average is 400,498: a few big posts lift it, and the most-viewed one holds 46% of these views. The most-viewed post (2,192,542 views) went up on February 16, 2024. The collected posts run from February 9, 2024 to March 9, 2026. Subscribers went from 88,700 on July 5, 2026 to 88,200 on October 22, 2026 (-0.6%).

Each account's full report has its growth chart, posting pattern and top posts: @macupandfashion and @rachana17818.

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.