@flavorfulvista vs @hairdora

Side-by-side Snapchat Spotlight performance comparison.

@flavorfulvista has 36.9K subscribers and @hairdora has 73.2K, so @hairdora has 2.0x as many. Across the 19 and 16 Spotlight posts we have collected, @flavorfulvista averages 139.8K views per post and @hairdora 1.8K; engagement is 8.97% against 6.70%.

@flavorfulvista

Flavorful Vista

@flavorfulvista

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@hairdora

Cho Ni

@hairdora

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@flavorfulvista Metric @hairdora
36.9K Subscribers 73.2K
19 Spotlight Posts 16
2.7M Total Views 12.8K
139.8K Avg Views / Post 1.8K
1.3M Best Post Views 3.8K
8.97% Engagement Rate (%) 6.70%
1.9K Subscribers per Post 4.6K

What the posts and readings show

Their typical posts are close: the middle post has 3,587 views for @flavorfulvista and 3,086 for @hairdora.

@flavorfulvista: Across all 19 of the Spotlight posts we have collected, the middle post has 3,587 views, while the average is 139,829: a few big posts lift it, and the most-viewed one holds 50% of these views. The most-viewed post (1,328,275 views) went up on February 11, 2024. The collected posts run from January 16, 2024 to April 2, 2024. Subscribers went from 37,400 on May 21, 2026 to 36,900 on October 22, 2026 (-1.3%).

@hairdora: Across the 5 of its 16 collected Spotlight posts that have a view count, the middle post has 3,086 views, close to the average of 2,559. The most-viewed post (3,831 views) went up on August 27, 2025. The collected posts run from May 7, 2025 to January 27, 2026. Subscribers went from 74,200 on May 12, 2026 to 73,200 on October 23, 2026 (-1.3%).

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

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.