@indianfoodiesin vs @foody_bug

Side-by-side Snapchat Spotlight performance comparison.

Across the 25 and 18 Spotlight posts we have collected, @indianfoodiesin averages 128.7K views per post and @foody_bug 20.2K; engagement is 2.14% against 2.07%.

@indianfoodiesin

Indian Foodies

@indianfoodiesin

I upload food recipe videos. Follow if you like my page🍴

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@foody_bug

Foody Bug

@foody_bug

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@indianfoodiesin Metric @foody_bug
22.4K Subscribers 0
25 Spotlight Posts 18
2.7M Total Views 202.3K
128.7K Avg Views / Post 20.2K
853.6K Best Post Views 126.5K
2.14% Engagement Rate (%) 2.07%
896 Subscribers per Post 0

What the posts and readings show

On the typical post, @indianfoodiesin gets 2.9x the views of @foody_bug (6,078 against 2,062 for the middle post).

@indianfoodiesin: Across the 20 of its 25 collected Spotlight posts that have a view count, the middle post has 6,078 views, while the average is 135,160: a few big posts lift it, and the most-viewed one holds 32% of these views. The most-viewed post (853,566 views) went up on August 26, 2022. The collected posts run from August 26, 2022 to April 11, 2026. Subscribers went from 22,600 on May 10, 2026 to 22,400 on October 22, 2026 (-0.9%).

@foody_bug: Across the 10 of its 18 collected Spotlight posts that have a view count, the middle post has 2,062 views, while the average is 20,229: a few big posts lift it, and the most-viewed one holds 63% of these views. The most-viewed post (126,529 views) went up on November 21, 2022. The collected posts run from November 17, 2022 to November 21, 2022.

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

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.