@kane_brown vs @snap.akay

Side-by-side Snapchat Spotlight performance comparison.

Across the 29 and 114 Spotlight posts we have collected, @kane_brown averages 167.7K views per post and @snap.akay 7.5K; engagement is 7.17% against 7.51%.

@kane_brown

Kane Brown

@kane_brown ●

Woman out now

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@snap.akay

Alexandra Kay

@snap.akay ●

Cᴏᴜɴᴛʀʏ Sɪɴɢᴇʀ/Sᴏɴɢᴡʀɪᴛᴇʀ ♥︎ coffee lover ☕︎︎Second Wind (OUT NOW) ♡︎ 4.3 million on tiktok ♡︎ 3.1 million on Facebook ♡ 1 million on Instagram

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@kane_brown Metric @snap.akay
0 Subscribers 234.0K
29 Spotlight Posts 114
4.9M Total Views 769.5K
167.7K Avg Views / Post 7.5K
1.3M Best Post Views 168.4K
7.17% Engagement Rate (%) 7.51%
0 Subscribers per Post 2.1K

What the posts and readings show

On the typical post, @kane_brown gets 10.8x the views of @snap.akay (48,638 against 4,523 for the middle post).

@kane_brown: Across the 28 of its 29 collected Spotlight posts that have a view count, the middle post has 48,638 views, while the average is 173,683: a few big posts lift it, and the most-viewed one holds 27% of these views. The most-viewed post (1,309,942 views) went up on December 18, 2024. The collected posts run from November 27, 2024 to May 5, 2026.

@snap.akay: Across the 101 of its 114 collected Spotlight posts that have a view count, the middle post has 4,523 views, below the average of 7,618, which the bigger posts pull up. The most-viewed post (168,444 views) went up on October 15, 2026. The collected posts run from April 5, 2026 to October 30, 2026. Subscribers went from 232,700 on May 12, 2026 to 234,000 on November 2, 2026 (+0.6%).

Each account's full report has its growth chart, posting pattern and top posts: @kane_brown and @snap.akay.

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.