@oloruntobiiloba vs @skullrater

Side-by-side Snapchat Spotlight performance comparison.

Across the 26 and 32 Spotlight posts we have collected, @oloruntobiiloba averages 132.7K views per post and @skullrater 16.1K; engagement is 12.28% against 6.49%.

@oloruntobiiloba

Okiki ☆

@oloruntobiiloba

Jesus is Lord✝️ Get me to 50k followers for me to continue posting and subscribe to YT!❤️‍🔥🙏🏽

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@skullrater

Skull Rater

@skullrater

Youtube - Skullrater

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@oloruntobiiloba Metric @skullrater
23.2K Subscribers 0
26 Spotlight Posts 32
3.2M Total Views 419.7K
132.7K Avg Views / Post 16.1K
1.0M Best Post Views 328.3K
12.28% Engagement Rate (%) 6.49%
892 Subscribers per Post 0

What the posts and readings show

On the typical post, @oloruntobiiloba gets 18.7x the views of @skullrater (39,892 against 2,130 for the middle post).

@oloruntobiiloba: Across the 23 of its 26 collected Spotlight posts that have a view count, the middle post has 39,892 views, while the average is 138,481: a few big posts lift it, and the most-viewed one holds 32% of these views. The most-viewed post (1,010,384 views) went up on March 20, 2026. The collected posts run from March 4, 2026 to April 10, 2026. Subscribers went from 23,000 on July 9, 2026 to 23,200 on October 23, 2026 (+0.9%).

@skullrater: Across the 24 of its 32 collected Spotlight posts that have a view count, the middle post has 2,130 views, while the average is 17,486: a few big posts lift it, and the most-viewed one holds 78% of these views. The most-viewed post (328,339 views) went up on March 22, 2026. The collected posts run from March 22, 2026 to April 28, 2026.

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

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.