The Shopify Dropify by The Cut

Episode 47 - Shopify - Expert Interview - James Hotson from Retention Science on using customer data to optimise ecommerce marketing


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Welcome back to Ep.47 where we talk to James Hotson, all the way from LA. James is Head of Partnerships at Retention Science. ‘Re-Sci’ are based in Santa Monica and their mission is to open up AI and customer data to as many businesses and marketers as possible.

Visit Retention Science here

Connect with The Cut here

It’s no secret that data is driving marketing in all sectors, and in ecommerce, customer data is at the centre of everything.

This interview will give maximum value to every Shopify and ecomm store owner who is looking to optimise the effectiveness of their marketing, by understanding their customers better. That’s awesome for every single ecommerce business owner on the planet.

In simple terms, Retention Science use customer data to elevate the capabilities and effectiveness of digital marketing, from email automations, to predictive customer engagements, and more. The services they deliver include email marketing, AI for customer insights and customer data gathering and reporting.

Listen in to learn lots about how to use data to understand your customers, and then use that understanding to market to them more effectively.

James has been with Retention Science for 7+ years and he understands this space incredibly well. He was the company’s second ever employee, so he’s ‘almost-a-Founder’. Before Re-Sci, James was Marketing Manager of Tweak Footwear, a crowd-sourced shoe design company, and he went to Uni at USC and Stanford School of Business.

A big, super-polite, USA ‘thank you sir’ to James and the team at Retention Science for staying late to speak to us from Santa Monica and sharing his time and stories with you on The Shopify Dropify.

To every Shopify business owner and ecommerce expert - This is your invitation to appear on this podcast. Just contact The Cut anytime to be involved.

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The Shopify Dropify by The CutBy The Cut

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