@sammy_shieldss vs @judydoll_us

Side-by-side Snapchat Spotlight performance comparison.

Across the 71 and 64 Spotlight posts we have collected, @sammy_shieldss averages 111.5K views per post and @judydoll_us 7.8K; engagement is 1.29% against 1.22%.

@sammy_shieldss

Sammy Shields 💅🏾

@sammy_shieldss

Glam but always HIGH QUALITY 💓 Sharing INCLUSIVE beauty tips daily

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@judydoll_us

Judydoll_US

@judydoll_us ●

Judydoll US Official Account 💘 Makeup Simplified & Fun Amplified 🍎

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@sammy_shieldss Metric @judydoll_us
8.2K Subscribers 0
71 Spotlight Posts 64
7.5M Total Views 333.3K
111.5K Avg Views / Post 7.8K
1.4M Best Post Views 60.0K
1.29% Engagement Rate (%) 1.22%
115 Subscribers per Post 0

What the posts and readings show

On the typical post, @sammy_shieldss gets 3.5x the views of @judydoll_us (13,444 against 3,809 for the middle post).

@sammy_shieldss: Across the 65 of its 71 collected Spotlight posts that have a view count, the middle post has 13,444 views, while the average is 114,891: a few big posts lift it, and the most-viewed one holds 19% of these views. The most-viewed post (1,435,737 views) went up on April 19, 2026. The collected posts run from December 22, 2025 to September 28, 2026. Subscribers went from 7,600 on May 6, 2026 to 8,200 on October 24, 2026 (+7.9%).

@judydoll_us: Across the 43 of its 64 collected Spotlight posts that have a view count, the middle post has 3,809 views, while the average is 7,750: a few big posts lift it, and the most-viewed one holds 18% of these views. The most-viewed post has 60,000 views. The collected posts run from May 30, 2026 to August 16, 2026.

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

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.