@justinn_y vs @fabiansbeauty

Side-by-side Snapchat Spotlight performance comparison.

@justinn_y has 105.4K subscribers and @fabiansbeauty has 62.3K, so @justinn_y has 1.7x as many. Across the 39 and 16 Spotlight posts we have collected, @justinn_y averages 255.0K views per post and @fabiansbeauty 73.8K; engagement is 9.93% against 11.04%.

@justinn_y

Justin Yi

@justinn_y ●

kinda cursed

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@fabiansbeauty

fabiansbeauty

@fabiansbeauty ●

✨️SCHOCKZUSTAND✨️

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@justinn_y Metric @fabiansbeauty
105.4K Subscribers 62.3K
39 Spotlight Posts 16
9.9M Total Views 1.2M
255.0K Avg Views / Post 73.8K
1.1M Best Post Views 394.0K
9.93% Engagement Rate (%) 11.04%
2.7K Subscribers per Post 3.9K

What the posts and readings show

On the typical post, @justinn_y gets 5.0x the views of @fabiansbeauty (121,508 against 24,180 for the middle post).

@justinn_y: Across the 38 of its 39 collected Spotlight posts that have a view count, the middle post has 121,508 views, while the average is 261,685: a few big posts lift it, and the most-viewed one holds 11% of these views. The most-viewed post (1,115,661 views) went up on April 15, 2026. The collected posts run from November 17, 2025 to October 25, 2026. Subscribers went from 104,900 on October 20, 2026 to 105,400 on October 27, 2026 (+0.5%).

@fabiansbeauty: Across all 16 of the Spotlight posts we have collected, the middle post has 24,180 views, while the average is 73,829: a few big posts lift it, and the most-viewed one holds 33% of these views. The most-viewed post (394,046 views) went up on August 10, 2026. The collected posts run from July 22, 2026 to August 20, 2026.

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

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.