@alward9992 vs @cool2fun

Side-by-side Snapchat Spotlight performance comparison.

Across the 53 and 29 Spotlight posts we have collected, @alward9992 averages 166.4K views per post and @cool2fun 37.8K; engagement is 1.26% against 1.28%.

@alward9992

w.n .

@alward9992

هلاليه .. الرياض 💙

View full profile →
@cool2fun

Me Me

@cool2fun

هنا تبدأ الحكاية ✨ * أشارك ما يستحق المشاهدة * لمحات من يومي بين الواقع والخيال قهوة | يوميات أدعية ضحكة خفيفة | | أخبار كل اللي يجمل يومك تلقاه ✨

View full profile →
@alward9992 Metric @cool2fun
0 Subscribers 0
53 Spotlight Posts 29
2.8M Total Views 642.5K
166.4K Avg Views / Post 37.8K
1.1M Best Post Views 377.3K
1.26% Engagement Rate (%) 1.28%
0 Subscribers per Post 0

What the posts and readings show

On the typical post, @alward9992 gets 12.9x the views of @cool2fun (87,940 against 6,835 for the middle post).

@alward9992: Across the 16 of its 53 collected Spotlight posts that have a view count, the middle post has 87,940 views, while the average is 176,824: a few big posts lift it, and the most-viewed one holds 41% of these views. The most-viewed post (1,146,333 views) went up on September 25, 2026. The collected posts run from July 25, 2026 to November 2, 2026.

@cool2fun: Across the 17 of its 29 collected Spotlight posts that have a view count, the middle post has 6,835 views, while the average is 37,794: a few big posts lift it, and the most-viewed one holds 59% of these views. The most-viewed post (377,272 views) went up on July 30, 2026. The collected posts run from July 29, 2026 to September 26, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @alward9992 and @cool2fun.

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.