@fabiolabaglieri vs @meredithduxbury

Side-by-side Snapchat Spotlight performance comparison.

Across the 16 and 20 Spotlight posts we have collected, @fabiolabaglieri averages 1.5M views per post and @meredithduxbury 538.0K; engagement is 7.70% against 6.37%.

@fabiolabaglieri

Fabiola Baglieri

@fabiolabaglieri ●

I don’t really know how this app works but I promise I’ll find out.

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@meredithduxbury

Meredith Duxbury

@meredithduxbury ●

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@fabiolabaglieri Metric @meredithduxbury
0 Subscribers 176.5K
16 Spotlight Posts 20
23.3M Total Views 10.8M
1.5M Avg Views / Post 538.0K
7.6M Best Post Views 2.1M
7.70% Engagement Rate (%) 6.37%
0 Subscribers per Post 8.8K

What the posts and readings show

On the typical post, @fabiolabaglieri gets 1.7x the views of @meredithduxbury (612,075 against 366,950 for the middle post).

@fabiolabaglieri: Across the 15 of its 16 collected Spotlight posts that have a view count, the middle post has 612,075 views, while the average is 1,554,761: a few big posts lift it, and the most-viewed one holds 33% of these views. The most-viewed post (7,613,998 views) went up on October 7, 2022. The collected posts run from September 10, 2022 to February 7, 2024.

@meredithduxbury: Across the 19 of its 20 collected Spotlight posts that have a view count, the middle post has 366,950 views, below the average of 566,285, which the bigger posts pull up. The most-viewed post (2,125,015 views) went up on August 9, 2022. The collected posts run from March 10, 2022 to May 10, 2024. Subscribers went from 179,200 on May 7, 2026 to 176,500 on October 29, 2026 (-1.5%).

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

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.