
Selling on Amazon in 2020 (E134)
07/14/20 • 35 min
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Sourcing Products from China (E133)
Brian MillerFounder of Easy China Warehouse Show Notes: Start on Alibaba Making 1 type of productTrading Companies make many types of productsSizeBiggest may not be bestA lower price may not be badOrdering SamplesPay for samplesMLQ - Min Order QuantityAlways negotiableGo for a 1/4 of the amount"We want to try a sample batch with you first"You won't make money on the first batchFreight forwardingAsk for referralsQuestions"As a % of your business, how much eCommerce do you do?""How many of your shipments go directly to Amazon?" Sponsors: Drip – Get a free demo of Drip using this coupon code!Spark Shipping – eCommerce Automation Bio: Brian Miller has been living in China for the past 10 years. He previously worked for one of the largest Chinese government owned manufacturers managing their North American Export operations. He now runs a 3rd party logistics warehouse in Shenzhen China called EasyChinaWarehouse.com. The company provides 3rd party logistics and shipping for Amazon FBA sellers and any ecommerce company creating products in China. Previous to Easy China Warehouse he founded and an E-commerce company which sells Bluetooth speakers. Links: https://www.easychinawarehouse.com/ Transcript : Charles (00:00): In this episode of The Business. eCommerce I talk with Brian Miller about importing products from China. This is a business eCommerce Episode 133. Charles (00:19): Welcome to the Business of eCommerce. The show that helps eCommerce retailers start, launch and grow the eCommerce business. I mean, host Charles Palleschi I'm where with Brian Miller. Brian is the founder of Easy China warehouse. He specializes in importing goods from China, and this is the second time I've asked on the show to chat about the entire process. Start to finish about how you can import goods from China. Brian's an expert in this. So I think that shows me very interesting. He answers a lot of great questions here. So onto the show, Brian, how are you doing today? Brian (00:49): Great. Thanks for having me on the show again. Charles (00:50): Well, yeah. Awesome to have you back on the show. I don't typically we do do repeats very quickly like this, but repeat guests you're on episode one, 27, we're talking very COVID specific. So I figured we actually started talking after the show and just kind of just on the general you know, working with getting products over from China. And I was like, you have a background in this. You're, you're a lot more of an expert than I think most people, right? Like all the people talk about this on kind of this theoretical level, but you feel, first of all, we kinda mentioned this. People want to look back in one 27, kind of mentioned your background, but just real quick. So you've been living in China for how long? Brian (01:30): Yeah, I've been living in China for the last 10 years. And I used to work at a Chinese state owned manufacturer. So I used to work for a Chinese company that manufactured industrial products. And then from there I started an eCommerce business where I sell Bluetooth speakers and also a logistics company that helps eCommerce companies shipped from China. So that's kinda my story. So I've done everything from manufacturing to e-commerce and also to shipping and logistics. Charles (01:59): So you have a little bit of experience sounds like. Yeah. Okay. So that's why, so when we start talking after about just getting, I think a lot of people get in the weeds when they want to source from China, they start looking at Alibaba or wherever else and just the whole process. There's so many little steps. It's one of those things that people just say, getting products from China and, you know, it's like this, it sounds easy. Like there's one little statement, but there's so many little things wrapped up in that. And they're very different, right. From talking to a factory finding the right products,
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Using Data Science to Profitably Scale Cross Channel Marketing Campaigns (E135)
Jake CookCEO of Tadpull Show Notes: RFMRecencyFrequencyMonetaryMaster KeyAlign dataSocial Media Slot MachineGoogle AnalyticsSpeed to buyIf people buy in the first day, run heavy retargetingScalingDoes not have good RolesBad cash flow cyclesNot knowing marginsQuarterly GoalsHave a process that's repeatable Sponsors: Drip – Get a free demo of Drip using this coupon code!Spark Shipping – Dropshipping Automation Bio: Jake is a forever curious entrepreneur that works across digital marketing, analytics, and AI. Jake started out as a lost physics major that stumbled into online marketing and eventually design thinking and data science. Helping clients and students use empathy to unlock growth at the intersection of art and science are where he loves to spend his days. Links: https://ondigitalmarketing.comhttps://www.tadpull.com/https://benchmark.tadpull.com Transcript : Charles (00:00): In this episode of the business. E-Commerce I talk with Jay cook about using data science to profitably scale cross channel e-commerce marketing campaigns. This is a business of eCommerce episode one 35. Charles (00:21): Welcome to the business. E-Commerce the show that helps eCommerce retailers start launch and grow their eCommerce business. I'm the host Chelsea [inaudible] and I'm here today with Jake cook. Jake is a founder of tadpole company. He started in 2013 where they use data to help e-commerce brands, profitably scale, their marketing campaigns, as joke in the show today. Talk about how you can use data science to scale your marketing campaigns. So, Hey Jake, how are you doing today? I'm wonderful. Thanks for having me on. Yeah, I am awesome to dig into this topic a little bit. We're talking before the show about, but a few proposed topics and the Xi learning and data science. I feel like this is a new we're in 2020. There's a lot of new things going on, but this is kind of the new hotness right on using with we've now pulled all this data. Charles (01:08): Right. And I feel like everyone's kind of getting a sense of yeah, you can like get all this stuff and now it's like, what do we do with this? So, yes. Yeah. So what do you guys, so first you, so your product, right? Usually don't go into the product the beginning, but it's just kind of interesting right on you guys basically hook into a lot of different pieces of data and start predicting what customers basically gonna want before they know they want it. It's that kind of a, yeah, it's it's we work a lot with mid market companies. And so, you know, there's lots of data and we always say, it's kind of like the kitchen drawer or, you know, the junk drawer you have in your house where you open it up and there's like birthday candles and bandaids and all sorts of junk. Charles (01:51): And that's kinda how their data is structured. And so a lot of what we do is kind of suck into a, we call it a data pond. I mean, there's like Lily pads of data, if you will. So you have Google analytics, data or Shopify data inventory date, and we're sucking all into one place. And when you can kind of get all organized and neatly put together, you start to find some interesting insights. So for example, you might find that customers out of email by, at 30% higher than people that come through Facebook or products that you know, don't have great margins, but they turn like really quick turn out that their total cash cows. And so, you know, well, how do you find the customers that buy those products that turn quickly? Well, now we're trying to map the inventory to the customer data. Charles (02:32): So a lot of that has kind of just drawn those correlations and help them customers see what's possible off these assets. They already kind of already own. Yeah. I feel like a lot of this, even I was looking at something that I did with, ah, just like ad attribution and there's still, it's really tough, right? Because there's the same,
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