<a href="https://twitter.com/kanocarra">Emily Melhuish</a> and <a href="mailto:lester.litchfield@trademe.co.nz">Lester Litchfield</a>
share with your cohosts <a href="https://twitter.com/francesc">Francesc</a> and <a href="https://twitter.com/neurotic">Mark</a>
how <a href="http://www.trademe.co.nz/">Trade Me</a>, the second most visited page in New Zealand, integrates
<a href="https://analytics.google.com">Google Analytics</a> and <a href="https://cloud.google.com/bigquery/">BigQuery</a> to
understand their traffic and provide statistics to their users.

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.

<a href="https://twitter.com/kanocarra" rel="noopener noreferrer">Emily Melhuish</a> and <a href="mailto:lester.litchfield@trademe.co.nz" rel="noopener noreferrer">Lester Litchfield</a>
share with your cohosts <a href="https://twitter.com/francesc" rel="noopener noreferrer">Francesc</a> and <a href="https://twitter.com/neurotic" rel="noopener noreferrer">Mark</a>
how <a href="http://www.trademe.co.nz/" rel="noopener noreferrer">Trade Me</a>, the second most visited page in New Zealand, integrates
<a href="https://analytics.google.com" rel="noopener noreferrer">Google Analytics</a> and <a href="https://cloud.google.com/bigquery/" rel="noopener noreferrer">BigQuery</a> to
understand their traffic and provide statistics to their users.

Google Analytics and BigQuery at Trade Me

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Google Analytics and BigQuery at Trade Me

Google Analytics and BigQuery at Trade Me