PickFu’s John Li joined Norman Farrar, brand strategist and e-commerce expert, on his “Lunch with Norm” podcast to talk about all the ways e-commerce sellers can use PickFu to improve their listings.
Watch the interview, or click through for highlights. Their conversation begins at the 4:50 mark.
5:40 Introduction and overview of PickFu, a DIY consumer research platform. John and co-founder Justin Chen built PickFu to help with their other business. It’s now their main business.
6:32 What makes PickFu different from other survey and split testing platforms? Quick response times — within 15 minutes — with written comments from respondents, which provide deeper insights.
9:18 Examples of test variations sellers can run on PickFu. These include main image, product title, product descriptions, and bullet points. Pre-launch, you can use PickFu to test creative, packaging design, and product selection.
12:40 Importance of split testing different aspects of your listing against competitors’.
15:28 YES Bar case study. The paleo snack brand ran a PickFu poll to decide on a new main image, which resulted in a 12% increase in sessions.
19:17 How audience targeting works on PickFu. Beyond the standard demographics, you can target behavioral traits: avid home cooks, Amazon Prime members, beer/wine drinkers, and more.
22:48 On-air demonstration of an open-ended PickFu poll.
30:27 Advantages and disadvantages of running a PickFu survey vs. SurveyMonkey and MTurk.
33:16 Three things sellers can easily test on PickFu to improve their listings. (Hint: main image, secondary image, bullet points.)
37:52 Biggest mistakes people make when running a PickFu poll. Among them: asking double-barreled questions.
43:01 Parting thoughts from John as sellers wind down a busy Q4: “I recommend thinking ahead to next year, early January, when things are slower. With a lot of our sellers, that’s a great time to optimize for the year ahead.”