@dilaver_84370 vs @abhi_pb10x

Side-by-side Snapchat Spotlight performance comparison.

Across the 28 and 16 Spotlight posts we have collected, @dilaver_84370 averages 341.0K views per post and @abhi_pb10x 34.9K; engagement is 5.32% against 4.55%.

@dilaver_84370

Dilaver Singh

@dilaver_84370 ●

Always smile ❤️ instagram : mr_dilaver_singh 😁 youtube : Dilaver singh 🧿❤️ love u all 😍 for promotion mail : 💌

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@abhi_pb10x

abhi_pb10x

@abhi_pb10x ●

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@dilaver_84370 Metric @abhi_pb10x
235.8K Subscribers 0
28 Spotlight Posts 16
9.5M Total Views 558.3K
341.0K Avg Views / Post 34.9K
4.9M Best Post Views 433.5K
5.32% Engagement Rate (%) 4.55%
8.4K Subscribers per Post 0

What the posts and readings show

On the typical post, @dilaver_84370 gets 3.0x the views of @abhi_pb10x (21,974 against 7,321 for the middle post).

@dilaver_84370: Across the 27 of its 28 collected Spotlight posts that have a view count, the middle post has 21,974 views, while the average is 353,623: a few big posts lift it, and the most-viewed one holds 52% of these views. The most-viewed post (4,923,490 views) went up on July 29, 2025. The collected posts run from August 29, 2022 to October 22, 2026. Subscribers went from 235,300 on October 13, 2026 to 235,800 on October 23, 2026 (+0.2%).

@abhi_pb10x: Across the 15 of its 16 collected Spotlight posts that have a view count, the middle post has 7,321 views, while the average is 37,218: a few big posts lift it, and the most-viewed one holds 78% of these views. The most-viewed post (433,488 views) went up on September 2, 2026. The collected posts run from August 30, 2026 to October 7, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @dilaver_84370 and @abhi_pb10x.

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.