@vilraclairstory vs @storytaless

Side-by-side Snapchat Spotlight performance comparison.

Across the 18 and 29 Spotlight posts we have collected, @vilraclairstory averages 274.6K views per post and @storytaless 26.2K; engagement is 7.38% against 3.84%.

@vilraclairstory

INK GIRL ✦

@vilraclairstory

INK WRITER 🖋️ Artist • Storyteller • Creator 🎨 Drawing | Coloring | Stories

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@storytaless

Story Tales

@storytaless

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@vilraclairstory Metric @storytaless
21.0K Subscribers 0
18 Spotlight Posts 29
4.9M Total Views 733.3K
274.6K Avg Views / Post 26.2K
1.1M Best Post Views 332.3K
7.38% Engagement Rate (%) 3.84%
1.2K Subscribers per Post 0

What the posts and readings show

On the typical post, @vilraclairstory gets 14.0x the views of @storytaless (149,717 against 10,673 for the middle post).

@vilraclairstory: Across the 17 of its 18 collected Spotlight posts that have a view count, the middle post has 149,717 views, below the average of 290,791, which the bigger posts pull up. The most-viewed post (1,088,240 views) went up on August 6, 2026. The collected posts run from August 4, 2026 to September 1, 2026. Subscribers went from 15,400 on September 12, 2026 to 21,000 on October 25, 2026 (+36.4%).

@storytaless: Across the 27 of its 29 collected Spotlight posts that have a view count, the middle post has 10,673 views, while the average is 27,159: a few big posts lift it, and the most-viewed one holds 45% of these views. The most-viewed post (332,305 views) went up on August 24, 2026. The collected posts run from August 2, 2026 to September 13, 2026.

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

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.