E415: The Strategies FBA Rollups Are Using in Their Amazon Listings with John Li
PickFu is a customer insights platform that acts as a digital focus group for ecommerce sellers who want to run tests, say A/B testing a product image, and get customer feedback on product listings.
My guest for this episode is John Li, who is a Co-Founder of PickFu and knows the ins and outs of customer research.
I’ll be picking his brain about the key insights that he’s gotten from the thousands of tests that sellers have run using PickFu, including the testing strategies that big ecommerce rollups use to optimize their listings.
Throughout the episode, he’ll be showing me specific examples of optimized listings and we’ll be breaking down which elements have the most impact on sales and conversions. If you’re tuning in through an audio-only channel, be sure to check out this episode over on the EcomCrew YouTube Channel and our new dedicated EcomCrew Podcast Channel for clips and episode highlights.
- Introduction – 01:00
- John’s insights on how sellers have done testing over the years – 02:50
- Actual examples of optimized listings – 07:25
- Why you should test early – 21:17
- The different responses you get for running consumer insights tests – 26:15
- Using open-ended ways to get feedback – 29:37
I want to thank John for the strategies and actionable stuff he shared in this episode. We’ll definitely have him back for more insights as the market develops. If you want to learn more about customer research or run your first test using PickFu, head over to their website and use discount code: ecomcrew to get 50% off your first poll.
By the way, if you’re selling on Amazon out of Canada, we’re currently running a giveaway exclusively for you. By answering our quick poll over on ecomcrew.com/poll2021 you can get a chance to win a full year’s worth of EcomCrew Premium membership, which is valued at $1499, absolutely free!
If you haven’t already, please leave us a review over on iTunes. It helps more than you know. Happy selling and we’ll talk to you soon!