Tom

Tom holds rank 1173 out of 1189 tracked creators with a subscriber count that is 0.3 times the median size. This verified account sits in the Mid-Tier category without a defined niche. While the average views per Spotlight post are over ten times the median, the engagement rate falls well below the median at 0.73 percent. The report continues by analyzing specific audience interactions and content performance trends.

The views for @tom.clipss average 2.2M per post, which is 10.5 times the median and ranks 26 out of 1189. This high reach indicates a wide distribution across the platform. The engagement rate of 0.73% falls below the 3.92% median at rank 688 of 793, meaning viewers interact less than average. Reach reliability is low because only 20.0% of posts reached double the account average while none hit five times that mark. This suggests consistent views are driven by the algorithm rather than repeated spikes from specific content hits. The audience behaves like a tap and scroll audience.

@tom.clipss generates revenue through the Spotlight reward fund for views and sponsorships for reach. A sponsored post is estimated to fall between $820 and $1.5K based on their 102.5K subscribers. Their rank of 1173 out of 1189 places them in a lower tier where they are priced as a value buy. The quoted band acts as a ceiling to bargain under rather than a fixed salary. With an engagement rate of 0.73% against a 3.92% median, the low interaction level suggests the reach may not justify the top end of the pricing bracket. These are modelled estimates from public metrics, not disclosed earnings.

Audience & Reach

The audience size is below the typical scale for tracked creators and does not reach broadcast levels. Verification status suggests some level of authority despite the low subscriber rank compared to the median. The engagement rate falls well below the average, meaning a brand message will land softer than it would on most other accounts in this category. Low interaction rates suggest content reaches a passive viewership rather than an active one. This audience fits few specific brand categories based on the available data.