How I Find Top Trending Products to Sell on Amazon Video Influencers QUICKLY
About this video
The creator explains how he researches products for the Amazon Influencer Program, where creators post shoppable review videos on listings and earn commission when viewers buy. He shows a free method and a paid method. Free: start on Google Trends (daily and real-time searches) to spot a trending topic such as football, then verify demand on Amazon by looking for ‘bought in past month’ volume, many reviews, high ratings and a low Best Sellers Rank. Crucially, he checks whether the listing actually has a video placement/carousel, warning that some listings have none. He contrasts a Wilson football with five competing influencer videos against Kansas City and foam footballs with zero influencer videos but hundreds of monthly purchases. Paid: he uses a Chrome extension he calls Influencer Fruit to score listings, surface open carousel slots, influencer-video counts and per-sale commission, favouring scores around 70-plus with little or no competition and recommending a spreadsheet to track 10-15 researched products before ordering.
Key takeaways
- Validate a Google Trends idea on Amazon itself: bought-in-past-month volume, review count, rating and low BSR must confirm real demand
- Check for an actual video placement before filming — a listing without a carousel slot cannot surface your influencer video the same way
- Prioritise listings with zero or one influencer video: being first or early means less competition for the same traffic
- With Influencer Fruit, the creator favours scores of about 70 or higher, open carousel slots, and clear commission/BSR data
- Judge a product by whether its commissions can repay its purchase cost within the first month, then scale winners across similar variants
Episode details: published October 16, 2023 · 19:13 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are RJ Martinez’s own claims, shared for education — they are not typical or guaranteed.
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