@sofia.gallon vs @smythstoys_fr

Side-by-side Snapchat Spotlight performance comparison.

Across the 40 and 16 Spotlight posts we have collected, @sofia.gallon averages 124.9K views per post and @smythstoys_fr 5.4K; engagement is 4.23% against 1.22%.

@sofia.gallon

🌻 Sofia L’handicapée 🌻

@sofia.gallon

♿️🤡 TikTok : socks.gallon 📸🧡 Insta : sofia.gallon

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@smythstoys_fr

Smyths Toys Superstores FR

@smythstoys_fr ●

Les plus beaux jouets au meilleur prix sont chez Smyths Toys ! Viens vite t'amuser avec nous 🧸🎲🤩

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@sofia.gallon Metric @smythstoys_fr
13.8K Subscribers 0
40 Spotlight Posts 16
5.0M Total Views 64.5K
124.9K Avg Views / Post 5.4K
437.2K Best Post Views 18.1K
4.23% Engagement Rate (%) 1.22%
345 Subscribers per Post 0

What the posts and readings show

On the typical post, @sofia.gallon gets 28.1x the views of @smythstoys_fr (81,603 against 2,906 for the middle post).

@sofia.gallon: Across the 39 of its 40 collected Spotlight posts that have a view count, the middle post has 81,603 views, below the average of 128,123, which the bigger posts pull up. The most-viewed post (437,227 views) went up on October 2, 2026. The collected posts run from September 25, 2026 to October 23, 2026. Subscribers went from 9,900 on October 13, 2026 to 13,800 on October 26, 2026 (+39.4%).

@smythstoys_fr: Across the 12 of its 16 collected Spotlight posts that have a view count, the middle post has 2,906 views, below the average of 5,376, which the bigger posts pull up. The most-viewed post (18,056 views) went up on August 31, 2026. The collected posts run from August 27, 2026 to September 10, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @sofia.gallon and @smythstoys_fr.

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.