@nostalgictales vs @lifesbook_ceo

Side-by-side Snapchat Spotlight performance comparison.

@nostalgictales has 68.8K subscribers and @lifesbook_ceo has 91.9K. Across the 23 and 16 Spotlight posts we have collected, @nostalgictales averages 768.4K views per post and @lifesbook_ceo 0; engagement is 1.11% against 0.00%.

@nostalgictales

nostalgictales

@nostalgictales

𝓘𝓶𝓶𝓮𝓻𝓼𝓲𝓿𝓮 𝓓𝓪𝓻𝓴 𝓕𝓪𝓷𝓽𝓪𝓼𝔂 𝓦𝓸𝓻𝓵𝓭 Nostalgic videos that make you think of simpler times 💫

View full profile →
@lifesbook_ceo

LifesBook_Ceo

@lifesbook_ceo

Click The Subscribe Button TikTok @lifesbook_ceo (140k) Facebook @lifesbook_ceo (733K/Verified) https://www.amazon.com/shop/lifesbook_ceo

View full profile →
@nostalgictales Metric @lifesbook_ceo
68.8K Subscribers 91.9K
23 Spotlight Posts 16
13.1M Total Views 0
768.4K Avg Views / Post 0
3.2M Best Post Views 0
1.11% Engagement Rate (%) 0.00%
3.0K Subscribers per Post 5.7K

What the posts and readings show

@nostalgictales: Across the 17 of its 23 collected Spotlight posts that have a view count, the middle post has 537,807 views, below the average of 768,372, which the bigger posts pull up. The most-viewed post (3,241,181 views) went up on November 27, 2023. The collected posts run from November 26, 2023 to June 4, 2024. Subscribers went from 69,500 on May 13, 2026 to 68,800 on October 24, 2026 (-1.0%).

@lifesbook_ceo: None of the 16 Spotlight posts we have collected came with a view count. The collected posts run from February 4, 2026 to February 6, 2026. Subscribers went from 92,200 on May 13, 2026 to 91,900 on June 20, 2026 (-0.3%).

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

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.