@skitsstories vs @mrdegree01

Side-by-side Snapchat Spotlight performance comparison.

Across the 27 and 31 Spotlight posts we have collected, @skitsstories averages 333.1K views per post and @mrdegree01 612.5K; engagement is 1.14% against 1.97%.

@skitsstories

Skit Stories

@skitsstories

Follow the journey of the SKITS’ team as the create the most hilarious stuff!

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@mrdegree01

Mr Degree

@mrdegree01

Comedic situations and and MUCH more!

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@skitsstories Metric @mrdegree01
0 Subscribers 138.9K
27 Spotlight Posts 31
9.0M Total Views 19.0M
333.1K Avg Views / Post 612.5K
2.6M Best Post Views 5.1M
1.14% Engagement Rate (%) 1.97%
0 Subscribers per Post 4.5K

What the posts and readings show

On the typical post, @mrdegree01 gets 2.2x the views of @skitsstories (103,826 against 48,153 for the middle post).

@skitsstories: Across the 26 of its 27 collected Spotlight posts that have a view count, the middle post has 48,153 views, while the average is 345,925: a few big posts lift it, and the most-viewed one holds 29% of these views. The most-viewed post (2,628,564 views) went up on August 2, 2024. The collected posts run from July 13, 2024 to September 27, 2024.

@mrdegree01: Across the 30 of its 31 collected Spotlight posts that have a view count, the middle post has 103,826 views, while the average is 632,903: a few big posts lift it, and the most-viewed one holds 27% of these views. The most-viewed post (5,122,832 views) went up on April 11, 2024. The collected posts run from April 2, 2024 to June 26, 2024. Subscribers went from 140,100 on May 9, 2026 to 138,900 on October 27, 2026 (-0.9%).

Each account's full report has its growth chart, posting pattern and top posts: @skitsstories and @mrdegree01.

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.