@ashu_konain vs @foodisgo

Side-by-side Snapchat Spotlight performance comparison.

Across the 31 and 16 Spotlight posts we have collected, @ashu_konain averages 290.1K views per post and @foodisgo 4.9K; engagement is 8.96% against 1.64%.

@ashu_konain

Ayesha konain

@ashu_konain

Foodie😍 Alhumdullilah For Everything❤ Follow my profile💖 and also follow my another account @ashu_konain2025 💘 Want 100K FAM☺

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@foodisgo

Deepak Kumar

@foodisgo

🍽 Food Blogger 🍕 🥳 Food | Lifestyle | Travel

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@ashu_konain Metric @foodisgo
24.9K Subscribers 0
31 Spotlight Posts 16
7.0M Total Views 39.0K
290.1K Avg Views / Post 4.9K
2.3M Best Post Views 10.1K
8.96% Engagement Rate (%) 1.64%
803 Subscribers per Post 0

What the posts and readings show

On the typical post, @ashu_konain gets 5.9x the views of @foodisgo (19,658 against 3,309 for the middle post).

@ashu_konain: Across the 24 of its 31 collected Spotlight posts that have a view count, the middle post has 19,658 views, while the average is 290,100: a few big posts lift it, and the most-viewed one holds 33% of these views. The most-viewed post (2,278,659 views) went up on May 7, 2024. The collected posts run from May 4, 2024 to September 18, 2026. Subscribers went from 25,200 on May 13, 2026 to 24,900 on October 20, 2026 (-1.2%).

@foodisgo: Across the 8 of its 16 collected Spotlight posts that have a view count, the middle post has 3,309 views, below the average of 4,876, which the bigger posts pull up. The most-viewed post (10,107 views) went up on January 6, 2025. The collected posts run from January 5, 2025 to January 12, 2025.

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

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.