@francisadewor vs @egbiri_friday

Side-by-side Snapchat Spotlight performance comparison.

Across the 44 and 31 Spotlight posts we have collected, @francisadewor averages 129.3K views per post and @egbiri_friday 5.7K; engagement is 2.30% against 5.36%.

@francisadewor

Adewor 🕊️

@francisadewor

Funny video/ football highlights

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@egbiri_friday

Mike Austin 247

@egbiri_friday

Guy with zero problem 💯

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@francisadewor Metric @egbiri_friday
25.3K Subscribers 0
44 Spotlight Posts 31
5.6M Total Views 125.7K
129.3K Avg Views / Post 5.7K
2.4M Best Post Views 76.8K
2.30% Engagement Rate (%) 5.36%
575 Subscribers per Post 0

What the posts and readings show

On the typical post, @francisadewor gets 6.0x the views of @egbiri_friday (9,693 against 1,614 for the middle post).

@francisadewor: Across the 42 of its 44 collected Spotlight posts that have a view count, the middle post has 9,693 views, while the average is 132,413: a few big posts lift it, and the most-viewed one holds 44% of these views. The most-viewed post (2,435,793 views) went up on June 9, 2026. The collected posts run from May 28, 2026 to October 26, 2026. Subscribers went from 23,600 on August 31, 2026 to 25,300 on October 26, 2026 (+7.2%).

@egbiri_friday: Across the 22 of its 31 collected Spotlight posts that have a view count, the middle post has 1,614 views, while the average is 5,713: a few big posts lift it, and the most-viewed one holds 61% of these views. The most-viewed post (76,817 views) went up on June 4, 2026. The collected posts run from May 21, 2026 to July 25, 2026.

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

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.