@frankiescorchy vs @treasbanks0

Side-by-side Snapchat Spotlight performance comparison.

Across the 33 and 98 Spotlight posts we have collected, @frankiescorchy averages 277.2K views per post and @treasbanks0 27.6K; engagement is 6.24% against 1.25%.

@frankiescorchy

Cisca✨

@frankiescorchy

Usachan. IG:@ __.frankie

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@treasbanks0

Blur

@treasbanks0

Life is a series of course corrections

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@frankiescorchy Metric @treasbanks0
0 Subscribers 106.2K
33 Spotlight Posts 98
5.5M Total Views 1.5M
277.2K Avg Views / Post 27.6K
1.6M Best Post Views 978.1K
6.24% Engagement Rate (%) 1.25%
0 Subscribers per Post 1.1K

What the posts and readings show

On the typical post, @frankiescorchy gets 5.6x the views of @treasbanks0 (16,360 against 2,913 for the middle post).

@frankiescorchy: Across the 18 of its 33 collected Spotlight posts that have a view count, the middle post has 16,360 views, while the average is 307,979: a few big posts lift it, and the most-viewed one holds 28% of these views. The most-viewed post (1,550,831 views) went up on February 3, 2026. The collected posts run from November 27, 2025 to October 23, 2026.

@treasbanks0: Across the 47 of its 98 collected Spotlight posts that have a view count, the middle post has 2,913 views, while the average is 31,721: a few big posts lift it, and the most-viewed one holds 66% of these views. The most-viewed post (978,127 views) went up on May 1, 2026. The collected posts run from April 21, 2026 to October 12, 2026. Subscribers went from 91,000 on May 9, 2026 to 106,200 on October 24, 2026 (+16.7%).

Each account's full report has its growth chart, posting pattern and top posts: @frankiescorchy and @treasbanks0.

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.