@anjali_92747572 vs @bahra.tailer

Side-by-side Snapchat Spotlight performance comparison.

Across the 44 and 18 Spotlight posts we have collected, @anjali_92747572 averages 186.8K views per post and @bahra.tailer 9.2K; engagement is 2.29% against 2.68%.

@anjali_92747572

Anjuu

@anjali_92747572

Om namah shivay 🔱

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@bahra.tailer

Bahra tailer

@bahra.tailer

بۆ دورینی جلو بەرگەکانتان بەجوانترین شێواز ناونیشان:قەلادزێ هەنارۆک پشت مالێ بابکر ئاغای گەیاندمان هەیە🚕

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@anjali_92747572 Metric @bahra.tailer
14.2K Subscribers 0
44 Spotlight Posts 18
8.2M Total Views 82.6K
186.8K Avg Views / Post 9.2K
3.7M Best Post Views 26.4K
2.29% Engagement Rate (%) 2.68%
323 Subscribers per Post 0

What the posts and readings show

On the typical post, @anjali_92747572 gets 4.6x the views of @bahra.tailer (40,376 against 8,872 for the middle post).

@anjali_92747572: Across the 43 of its 44 collected Spotlight posts that have a view count, the middle post has 40,376 views, while the average is 191,195: a few big posts lift it, and the most-viewed one holds 45% of these views. The most-viewed post (3,677,351 views) went up on May 4, 2026. The collected posts run from April 17, 2026 to October 10, 2026. Subscribers went from 8,500 on May 21, 2026 to 14,200 on October 23, 2026 (+67.1%).

@bahra.tailer: Across the 8 of its 18 collected Spotlight posts that have a view count, the middle post has 8,872 views, close to the average of 10,320. The most-viewed post (26,395 views) went up on July 5, 2026. The collected posts run from June 28, 2026 to September 19, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @anjali_92747572 and @bahra.tailer.

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.