{"id":9001,"date":"2023-02-17T03:32:00","date_gmt":"2023-02-17T03:32:00","guid":{"rendered":"https:\/\/synder.com\/blog\/?p=9001"},"modified":"2026-04-24T13:14:24","modified_gmt":"2026-04-24T13:14:24","slug":"analytics-in-e-commerce","status":"publish","type":"post","link":"https:\/\/synder.com\/blog\/analytics-in-e-commerce\/","title":{"rendered":"Data Analytics in E-commerce: How to Perform Marketing Data Analysis"},"content":{"rendered":"\n

Today, we’ll break down the major types of e-commerce analytics to explain the metrics that matter most.<\/p>\n\n\n\n\n\n\n\n\n

Now that a lot of businesses are going online and everything can be bought and sold on the Internet, e-commerce has leapt to a completely new level, winning the competition over traditional brick-and-mortar stores. In such competitive conditions, e-commerce analytics is an absolute necessity for e-businesses in order to stay afloat.<\/p>\n\n\n\n

E-commerce analytics is vital for a plethora of tasks \u2013 from monitoring customer behavior data and refining your conversion strategies to evaluating which products are selling well (and which aren\u2019t). Lack of accurate and reliable data results in companies losing customers and revenue as they miss out on important business metrics.   <\/p>\n\n\n\n

Marketing data analysis gives online store owners valuable insights into the actual business performance and helps them make informed decisions. In this article, we\u2019ll break down the four major types of e-commerce analytics, speak about essential business performance metrics for an e-commerce business, how to calculate them, and showcase the ultimate e-commerce analytics tool. Stay tuned!<\/p>\n\n\n\n

<\/p>\n\n\n\n

Contents:<\/b><\/h3><\/p>\n\t

1. Different types of e-commerce analytics<\/a><\/p>\n\t

2. Vital e-commerce metrics for analyzing marketing data<\/a><\/p>\n