There are thousands of online stores out there, and it should come as no surprise. It is a reflection of how convenient they are – customers get to browse and order things without having to leave their houses, while business owners can sell their products to a larger number of people. Unfortunately, it has also caused competition to become rather tight. 

Consequently, you should do your best to improve and stand out from the crowd. The first step to achieving that goal is to find the right tools to collect relevant data. With it, you will be able to stay on top of the latest trends and boost your sales figures, as well as keep an eye on your competitors and make evidence-based decisions.

In this article, you will find a list of the best e-commerce analytics tools on the market. They should help you get your hands on the data you need to boost sales and pave your way to success.

E-commerce analytics tools


Brandly360 is an e-commerce monitoring tool. It can track product prices and provide you with competitive data and statistics on the matter. Instead of wondering and guessing or spending hours researching, you will be notified about every price change your competitors make and the impact it will likely have on your target market. 

What is more, with the help of artificial intelligence, Brandly360 can generate accurate recommendations regarding pricing policies. With such a tool, you can come up with competitive and attractive prices for your products in a matter of seconds.

If that is not enough, Brandly360 has plenty of other features. It is worth mentioning that it can monitor your product ratings and reviews or analyze your product descriptions, though it will also prove useful if you are interested in banner ads monitoring in e-commerce

Thanks to such a large number of useful features, Brandly360 should be able to help you boost sales in no time.


Kissmetrics is a simple conversion rate optimization tool that can track website performance on different devices and in different browsers. Furthermore, it can monitor the conversion rates of a number of channels, such as pay-per-click advertisements and search engine results pages. If an ad or a particular keyword is not converting well, Kissmetrics will notify you about it in a timely manner.

If you choose to start using Kissmetrics, you should be able to find the answers to a number of pressing questions that could help you boost sales. For instance, it should aid you in identifying the marketing campaigns that are bringing in the most traffic, as well as evaluating the performance of key landing pages.

All in all, if you have never used a conversion rate optimization tool, Kissmetrics is a great place to start. It comes with an easy-to-understand dashboard that you can use to display key metrics, such as revenue per visitor and conversion rate.

Crazy Egg

Crazy Egg is an analytics tool that can make your online store more user-friendly and conversion-oriented. For starters, it can be used to create website heat maps. 

A website heat map is a visual representation of popular (hot) and unpopular (cold) elements of a website. Combining qualitative and quantitative data, it can help you understand how users interact with your landing and product pages. You can then use this knowledge to increase user engagement and boost sales figures.

Aside from heat maps, Crazy Egg can help you with split testing, a popular user experience testing method. It requires splitting the visitors into two or more groups. Each group sees a different version of the website in question. The main goal here is to determine which version gets better results. 

To sum up, if you want to improve the performance of your website and make informed design decisions, Crazy Egg is worth looking into. It can provide you with all the data you need to take your conversion rate to the next level.


Hotjar is a product experience insights tool that can provide you with feedback data and behavior analytics. Both of these things can help you gain a better understanding of your customers. That knowledge can then be used to make your lead generation efforts more effective.

When it comes to features, Hotjar is capable of recording visitor activity and getting feedback from website visitors. It can conduct surveys and generate heat maps. Additionally, it can be integrated with various web analytics tools, such as Mixpanel and Google Analytics. 

In the end, Hotjar is going to provide you with this data in the form of a customizable analytics dashboard. There, you get to focus on specific metrics related to things like user engagement, customer satisfaction, and customer demographics.

To put it simply, Hotjar is a useful tool that combines customer feedback, user behavior analysis, and user experience insights. If you start using it, figuring out what is happening on your website and discovering why it happens should become much easier!


Woopra is a customer analytics tool. It was built using proprietary technology that can track your website visitors to create a visual representation of their journey based on their demographics and actions. You can create and track an unlimited number of customizable actions, which can range from making a purchase and signing up for the newsletter to clicking on a specific video.

Aside from the things listed above, Woopra can generate detailed and highly customizable reports. In just a few seconds, you are given an entire picture of how leads interact with a given product or service. You can also divide these leads into segments based on the content that they have interacted with and then present each segment with relevant suggestions.

And if you want your e-commerce analytics tool to work together with other applications, you can set Woopra up so that it automatically does specific things in third-party applications. For example, it could create a lead in Salesforce every time a customer signs up for your demo.

In Conclusion

E-commerce is one of the most popular business models out there. However, there are many elements to take into consideration before getting started. This is why it is important to have the right tools on hand. With them, you will be able to collect actionable data and boost your sales figures to a whole new level.

Thankfully, there is a multitude of e-commerce analytics tools on the market. The ones listed above are just some of the most popular and useful ones. You can use them to come up with effective pricing policies, as well as to gain insights into how customers interact with your website, what their customer journey looks like, and what kind of suggestions they might be interested in. 

With such data, you should be able to find ways to improve customer experience and increase sales figures with ease. But if you do end up running into any difficulties, do not hesitate to a marketing agency or a data analyst for help. They should be more than happy to assist you in your quest to boost your sales figures.

Do you have experience with any of these e-commerce analytics tools? If you haven't, it's time to make a decision. 

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Frequently Asked Questions

Google Analytics is one of the most popular eCommerce analytics tools. Google Analytics provides comprehensive insights into website traffic, user behavior, and eCommerce performance, making it a favored choice among eCommerce businesses.

To analyze eCommerce sales data effectively, start by collecting accurate data from various sources. Define key metrics, segment your data, and examine the sales funnel, customer behavior, and product performance. Understand your customers through demographic and purchase history analysis. Conduct A/B testing, calculate marketing ROI, and focus on customer retention. Monitor inventory, benchmark against competitors, and visualize data for clarity. Consider predictive analytics for future trends and continuously review and act on insights to improve your eCommerce strategy based on data-driven decisions.

To forecast eCommerce sales, begin by collecting and cleaning historical sales data. Identify trends and patterns, and choose suitable forecasting methods, which could include time series analysis or machine learning. Validate your models and consider external factors like seasonality and marketing efforts. Create multiple scenarios and regularly review and refine your forecasts. Share the forecast with relevant teams and continuously monitor its accuracy, using it to optimize marketing and inventory strategies while staying adaptable to market changes.

Measuring eCommerce sales means tracking crucial metrics like sales revenue, conversion rate, average order value, and customer acquisition cost. Analyzing these data points helps businesses evaluate their online sales performance and make informed decisions for growth and profitability.