Web Analytics
Ecommerce analytics: what it is and how to use data to sell more
The world of ecommerce analytics is not only indispensable for those who want to sell online: it is also complex, full of insights and references to subjects that deal with performance optimization. Those who do not measure and monitor the progress of their digital store have a short life.
Do you want to transform your digital showcase into a tool for selling online? Great, you have to measure everything. And you have to know the world of event tracking, metrics and KPIs. Only in this way can you activate a Deming cycle aimed at the virtuous improvement of significant performances. Do you know what this means? Convert more and improve turnover over time , in a natural and sustainable way.
Table of Contents
What is ecommerce analytics?
Types of ecommerce analytics
Internal analysis
Competitor Analysis
Context analysis
Why is analytics important?
Activity Forecast
Constant optimization
Risk reduction
4 Tips for Doing Ecommerce Analytics
Identify the most important KPIs
Collect data across all platforms
Skim and eliminate what you don't need
Work on a useful presentation
When does ecommerce analytics work start?
What is ecommerce analytics?
Let's start with a basic definition: ecommerce analytics is everything that concerns the measurement and interpretation of data related to online sales with a website. Through these techniques we collect information, clean it from useless tares , organize it and exploit it.
The final goal? Why invest in ecommerce analytics? Simple, to manage an online store thanks to a data-driven perspective . And to ensure that every decision is made through an empirical evaluation, not by Norway Phone Numbers intuition or improvisation. When sales and conversions are at stake, to increase the turnover of a digital project, this approach makes the difference.
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Types of ecommerce analytics
As you can well imagine, it is difficult to talk about a monolithic block when dealing with the topic of data analysis that revolves around a complex reality such as ecommerce. So we can outline some types of ecommerce analytics starting from the type of data acquisition.
Internal analysis
We track what we can intercept on the website and find the necessary information thanks to tools such as Google Analytics , Search Console , advertising tracking pixels, user behavior analysis tools such as Hotjar and Crazyegg. These are inexhaustible sources of data.
Competitor Analysis
Another source to enhance and include in the work of ecommerce analytics : the activity carried out by direct competitors. In these cases we turn to other tools that are always indispensable such as Semrush and Seozoom . This is because we also define behaviors in relation to what happens around us.
Context analysis
Ecommerce analytics can find a great ally in everything that looks outside the strictly operational context. So you can activate research and survey paths with questionnaires and interviews to know your audience, analyze the market and deepen the target audience.
Why is analytics important?
Surely there is a part of online store owners and managers who wonder why they should face a complex data strategy to improve their online store. After all, they already invest in advertising and web marketing for e-commerce : is there really a need for further analysis?
In reality, yes, the work of ecommerce analytics can bring concrete and measurable advantages in an optimization strategy of online sales . For example, here is a series of points that can be listed when looking for the main reasons in favor of an ecommerce data analysis work.
Activity Forecast
