E-Commerce Analytics & Consulting

Customer Analysis & E-commerce Analytics

E-commerce analysis includes a wide range of metrics related to Customer Analysis, such as Awareness, Acquisition, Conversion, Retention, and Advocacy.

Data Analysis for Your E-commerce

We support you in the data analysis of your e-commerce with the aim of understanding:

  • Changes In Customer Behavior
  • Online Purchasing Trends
  • SEO Optimization & Your E-commerce Analysis
  • Email Marketing Analysis

Types of E-commerce Analysis

1. Acquisition

We analyze the sources that determine a higher influx of traffic and those that generate more conversions or sales to enhance them and understand where to focus resources.

  • How many visitors come from social posts?
2. Behavior

We analyze the type of behavior of visitors once they land on the website.

  • Which page do people click on first?
  • What are the most purchased products by customers?
  • Which products generate a lot of interest but few sales?
3. Conversations

Analyzing data about conversions helps track, for example, which type of discount is best suited for each group of customers, with a view to offering personalized offers.

  • How many customers abandon the cart instead of proceeding with the purchase?
  • Which and how many customers tend to make repeat purchases?

The Importance of Analyzing Your E-Commerce Data

  • Data analysis reveals how customers interact with your website, what their preferences are, and their favorite brands.
  • Data analysis can reduce costs. Since metrics give you greater awareness of what is profitable and what is not, you won't waste your budget on dead-end efforts.
  • Behind the data hides the interests and needs of customers, and analyzing these can allow identifying new opportunities and tailor-made offers.
  • The trends that emerge through data analysis help you better manage your inventory. Before technology existed, it was hard to predict how much of each product would be needed at a specific time, like the Christmas holidays. Measured data also reveals a clear formula of supply and demand so you can properly evaluate items.
1. Pricing Optimization

Optimize prices, up-sell, and inventory performance based on the best-selling products.

2. Purchase Personalization

Use customer data to personalize individual buying experiences.

3. Predictive Analysis & Decision Making

Make the best decisions for your e-commerce based on data and predictive analysis.