

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
It’s no secret: being creative is hard. Creativity requires time and energy, at the bare minimum, and lacking creativity can spiral into writer’s block and other such conditions. That may be okay if you’re just sending out a tweet here or there — but what if your core user base consists of people who need to be creative, day in and day out? The Creative team at Klaviyo recently tackled the problem of helping users get inspired to create content, and I sat down to discuss the thinking that went into the resulting feature, Showcase. You’ll hear about the development process for Showcase, but also about the underlying problems that Showcase is trying to solve and the process of coming up with a solution like Showcase. Specific topics include:
“There are actually a lot of sites where you can subscribe to literally every single email that a company sends out… but you have no sense of: did these emails do well? What about them was good? Is this something I should copy? It’s just throwing out a bunch of data with no context or insight whatsoever.”
— Charlie Natoli, Senior Data Scientist
59 episodes
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
It’s no secret: being creative is hard. Creativity requires time and energy, at the bare minimum, and lacking creativity can spiral into writer’s block and other such conditions. That may be okay if you’re just sending out a tweet here or there — but what if your core user base consists of people who need to be creative, day in and day out? The Creative team at Klaviyo recently tackled the problem of helping users get inspired to create content, and I sat down to discuss the thinking that went into the resulting feature, Showcase. You’ll hear about the development process for Showcase, but also about the underlying problems that Showcase is trying to solve and the process of coming up with a solution like Showcase. Specific topics include:
“There are actually a lot of sites where you can subscribe to literally every single email that a company sends out… but you have no sense of: did these emails do well? What about them was good? Is this something I should copy? It’s just throwing out a bunch of data with no context or insight whatsoever.”
— Charlie Natoli, Senior Data Scientist
59 episodes
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