@ltseaaaa vs @itsheidiwong111

Side-by-side Snapchat Spotlight performance comparison.

Across the 28 and 21 Spotlight posts we have collected, @ltseaaaa averages 132.2K views per post and @itsheidiwong111 61.8K; engagement is 14.97% against 12.70%.

@ltseaaaa

☆ Rachel Key - White☆

@ltseaaaa

tt: Ltsea {500k+} yt: Ltseaa {900+} ig: Ltseaaa {80k +} Yes, CHRISTIANS are allowed to have a personality. Both CHRISTIAN & relatable ✝️🙏🏽

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@itsheidiwong111

Heidi Wong

@itsheidiwong111 ●

Storyteller 🎬✨

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@ltseaaaa Metric @itsheidiwong111
138.0K Subscribers 0
28 Spotlight Posts 21
3.7M Total Views 1.3M
132.2K Avg Views / Post 61.8K
770.6K Best Post Views 332.4K
14.97% Engagement Rate (%) 12.70%
4.9K Subscribers per Post 0

What the posts and readings show

On the typical post, @ltseaaaa gets 2.1x the views of @itsheidiwong111 (62,865 against 29,441 for the middle post).

@ltseaaaa: Across all 28 of the Spotlight posts we have collected, the middle post has 62,865 views, while the average is 132,208: a few big posts lift it, and the most-viewed one holds 21% of these views. The most-viewed post (770,611 views) went up on May 23, 2026. The collected posts run from April 2, 2026 to June 3, 2026. Subscribers went from 132,800 on May 9, 2026 to 138,000 on June 15, 2026 (+3.9%).

@itsheidiwong111: Across all 21 of the Spotlight posts we have collected, the middle post has 29,441 views, while the average is 61,777: a few big posts lift it, and the most-viewed one holds 26% of these views. The most-viewed post (332,421 views) went up on August 11, 2025. The collected posts run from August 5, 2025 to August 15, 2025.

Each account's full report has its growth chart, posting pattern and top posts: @ltseaaaa and @itsheidiwong111.

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.