@irene_joshh vs @solikon2

Side-by-side Snapchat Spotlight performance comparison.

Across the 19 and 16 Spotlight posts we have collected, @irene_joshh averages 108.1K views per post and @solikon2 11.5K; engagement is 2.57% against 2.00%.

@irene_joshh

Irene josh

@irene_joshh

Hallo! 🤗 Bitte helft mir, bald 50.000 Follower zu erreichen.

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@solikon2

Solikon

@solikon2

✨ Geschichten, die verbinden – aus allen Ecken der Welt 🌍

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@irene_joshh Metric @solikon2
8.7K Subscribers 0
19 Spotlight Posts 16
1.6M Total Views 115.5K
108.1K Avg Views / Post 11.5K
658.6K Best Post Views 41.0K
2.57% Engagement Rate (%) 2.00%
458 Subscribers per Post 0

What the posts and readings show

On the typical post, @solikon2 gets 1.2x the views of @irene_joshh (3,023 against 2,498 for the middle post).

@irene_joshh: Across the 14 of its 19 collected Spotlight posts that have a view count, the middle post has 2,498 views, while the average is 115,860: a few big posts lift it, and the most-viewed one holds 41% of these views. The most-viewed post (658,631 views) went up on December 15, 2025. The collected posts run from November 30, 2025 to May 7, 2026. Subscribers went from 8,700 on August 30, 2026 to 8,700 on October 25, 2026.

@solikon2: Across the 9 of its 16 collected Spotlight posts that have a view count, the middle post has 3,023 views, while the average is 12,832: a few big posts lift it, and the most-viewed one holds 36% of these views. The most-viewed post (41,010 views) went up on August 23, 2026. The collected posts run from August 17, 2026 to September 2, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @irene_joshh and @solikon2.

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.