@jimmyfallon3637 vs @laughterdose7

Side-by-side Snapchat Spotlight performance comparison.

Across the 22 and 35 Spotlight posts we have collected, @jimmyfallon3637 averages 188.0K views per post and @laughterdose7 14.9K; engagement is 6.13% against 9.40%.

@jimmyfallon3637

Laughter Chefs

@jimmyfallon3637

Welcome to the official main channel of Laughter Chefs !

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@laughterdose7

laughter dose

@laughterdose7

Your daily dose of laughter

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@jimmyfallon3637 Metric @laughterdose7
28.2K Subscribers 0
22 Spotlight Posts 35
4.1M Total Views 148.8K
188.0K Avg Views / Post 14.9K
2.1M Best Post Views 105.3K
6.13% Engagement Rate (%) 9.40%
1.3K Subscribers per Post 0

What the posts and readings show

On the typical post, @jimmyfallon3637 gets 9.3x the views of @laughterdose7 (33,285 against 3,574 for the middle post).

@jimmyfallon3637: Across the 21 of its 22 collected Spotlight posts that have a view count, the middle post has 33,285 views, while the average is 196,960: a few big posts lift it, and the most-viewed one holds 52% of these views. The most-viewed post (2,137,833 views) went up on April 18, 2025. The collected posts run from March 31, 2025 to May 10, 2025. Subscribers went from 28,300 on September 19, 2026 to 28,200 on October 23, 2026 (-0.4%).

@laughterdose7: Across the 9 of its 35 collected Spotlight posts that have a view count, the middle post has 3,574 views, while the average is 16,528: a few big posts lift it, and the most-viewed one holds 71% of these views. The most-viewed post (105,280 views) went up on May 20, 2026. The collected posts run from May 17, 2026 to October 4, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @jimmyfallon3637 and @laughterdose7.

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.