Business of eCommerce

Using Data Science to Profitably Scale Cross Channel Marketing Campaigns (E135)


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* Jake Cook* CEO of Tadpull



Show Notes:



* RFM* Recency* Frequency* Monetary* Master Key* Align data* Social Media Slot Machine* Google Analytics* Speed to buy* If people buy in the first day, run heavy retargeting* Scaling* Does not have good Roles* Bad cash flow cycles* Not knowing margins* Quarterly Goals* Have 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.com* https://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,
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Business of eCommerceBy Charles Palleschi

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