Emily Melhuish and Lester Litchfield share with your cohosts Francesc and Mark how Trade Me, the second most visited page in New Zealand, integrates Google Analytics and BigQuery to understand their traffic and provide statistics to their users.

About Emily

Emily Melhuish is an Electrical Engineering student by day and a software developer by night. She works at Trade Me as a Full Stack developer in between studying at the University of Auckland where she learns how to blow circuits up. At Trade Me, her latest project was one surrounding Big Data and how to make the website data useful for their clients. They use Google Tag Manager with Google Analytics and BigQuery to provide business insights to our customers, these include real estate agents and car dealers. Her work was for car dealers.

About Lester

Lester Litchfield is a data scientist and web analyst for Trade Me with a background in Marketing. He’s responsible for implementing Google Tag Manager and Google Analytics 360 across their sites and apps, and using that data to tell the story of how their users behave. He uses BigQuery most weeks to answer tough questions, and for AB testing. He’s also exploring Google Cloud Platform for text analysis, image analysis and machine learning applications.

Cool thing of the week

Custom encoding: Go implementation in net/rpc vs grpc and why we switched post
The Illustrated Children’s Guide to Kubernetes adorable

Interview

Trade Me homepage
Google Analytics docs
Google Analytics 360 docs
Google Tag Manager docs
BigQuery docs

Question of the week

Three Simple Steps to Save Costs when Prototyping with App Engine Flexible Environment medium

Google Analytics and BigQuery at Trade Me