Tony Yin

Segments: 1 Year

segments

Segments: 1 Year

This month we celebrated the 1 year anniversary of the official Segments Analytics launch on the Shopify App Store 🎉. Instead of listing all of the things we did right this past year (survivorship bias), culminating in being featured as a Staff Pick on the front page, I wanted to share

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Customer Lifetime Value

ecommerce

Customer Lifetime Value

One of the holy grail metrics for any business is Customer Lifetime Value (CLV, aka LTV). With sufficient data, you can place a dollar value for any of your customers, no matter what purchase funnel stage they are in, and consequently prioritize your actions based on it. The more data

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Ecommerce Metrics: Mastering Your Funnel Analytics

ecommerce

Ecommerce Metrics: Mastering Your Funnel Analytics

Which metrics you should be looking atEcommerce platforms usually give you some analytics. The problem is those analytics are almost always a mess of metrics and timeseries that don’t really explain what’s what, why you should care, and what you should be doing next. This guide organizes ecommerce

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Page Load Time "Sweet Spot"

analytics

Page Load Time "Sweet Spot"

Fancy themes look great. Fancy popups may capture a few more emails. But if your site takes a long time to load, you’re going to lose out on way more potential customers and revenue than if you keep your virtual storefront lean. We did a pseudo meta-analysis of various

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Backing Up Your Shopify Data

shopify

Backing Up Your Shopify Data

Shopify has a great ecommerce platform, but they are still a single point of failure for a possible catastrophic data loss that wipes out all record of what you’ve built in your store and business. (Or worse, arbitrary censorship or other obscure reasons for kicking you off their platform

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segments

Building a serverless, on-demand data science solution

We partnered with DataBlade (DB) this year to build out a serverless data science solution for one of our clients’ main business needs, revenue forecasting. In this post I will discuss our architecture for the final product and how we overcame some implementation obstacles. ProblemThe client needed a way to

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segments

Stack

This post discusses the high level tech stack decisions for our first product Segments by Tresl, and how we got there. Tresl uses a hybrid approach of consulting and product to connect businesses with data science. Consulting gives us a direct channel to customers; we get to solve real problems

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