How NRQL Transforms eCommerce Data Analysis in New Relic

How NRQL Transforms e Commerce Data Analysis in New Relic (1)

<p>Every e-commerce platform has massive volumes of user, transaction, and performance data, but most brands struggle to convert it into actionable insights that improve conversions and revenue. Traditional analytics tools usually show basic metrics like traffic, bounce rate, or sales, but they are not able to show us why users abandon carts, why checkout slows down, or which backend issues silently kill transactions. And without knowing all these things, how can a platform work on the exact problem? But now we have NRQL, also known as New Relic Query Language, which solves this problem by giving eCommerce businesses a way to query performance data in real time, similar to SQL, but far more visual, flexible, and optimized for live application monitoring. </p>

Every e-commerce platform has massive volumes of user, transaction, and performance data, but most brands struggle to convert it into actionable insights that improve conversions and revenue. Traditional analytics tools usually show basic metrics like traffic, bounce rate, or sales, but they are not able to show us why users abandon carts, why checkout slows down, or which backend issues silently kill transactions. And without knowing all these things, how can a platform work on the exact problem? But now we have NRQL, also known as New Relic Query Language, which solves this problem by giving eCommerce businesses a way to query performance data in real time, similar to SQL, but far more visual, flexible, and optimized for live application monitoring. 

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How NRQL Transforms eCommerce Data Analysis in New Relic