Using Analytics: How to Read Customer Data

The e-commerce market is enormous and full of competitors, so if you want to stand out, you should understand customer needs, anticipate trends, and provide a seamless customer journey.

If you’re an e-commerce professional, you know how much information there is about your customers. With the right customer analytics tools, you can track customer engagement, measure customer loyalty, and use predictive and descriptive analytics to improve customer retention, increase sales, and, most importantly, grow your business.

Want to know how? Today, we will dig deeper into using customer analytics, how to read customer data, and which tools are best for tracking customer profiles, purchase history, and other key data points.

Without further ado, let’s get started!

What is customers’ data analytics?

Customer analytics is the process of data collection, organization, and analysis to identify trends, patterns, and opportunities for action.

Customer data hints at customers’ behavior. For e-commerce businesses, this information is crucial for achieving goals, understanding customer preferences, preventing churn, improving customer relationships, and optimizing every touchpoint in the sales funnel, ultimately enhancing the overall customer experience.

Analyzing customer data has other benefits. Businesses can leverage quantitative data (such as transaction history) and qualitative data (like customer reviews or surveys) to build detailed customer profiles and tailor their marketing campaigns.

Why is it important to analyze a customer’s data?

Customer data analytics supports decision-making

Customer analytics helps understand their customer’s journey, various touchpoints, behavior, and preferences. This information can help companies decide how to market themselves, what products they should sell, and where to focus their marketing campaigns.

Businesses may enhance marketing strategies

Tracking demographic information and purchase history allows companies to tailor messaging for diverse types of customers, optimize ad spend, and create personalized offers that drive customer acquisition. Also, it assists e-shops in improving their marketing strategies and product offerings. Companies can use data collected from customer surveys to determine whether their current marketing campaigns are working well. If not, they can adjust their strategy accordingly.

Also, to make it even more effective, the offerings might be automated when using tools like Luigi’s Box Recommender.

Tracking data makes it faster to spot trends and tendencies

By monitoring customer analytics, companies identify potential problems and early signs of customer churn. If a drop in customer engagement is detected using Google Analytics or other analytics tools, proactive steps can be implemented for customer retention. These steps may include providing incentives to increase your customer satisfaction score, sending targeted personalized emails, or improving cross-selling strategies.

Customer data analysis helps make financial decisions

When business owners have access to crucial data, they can make informed decisions about their company’s finances. Through predictive analytics, companies can forecast sales trends, adjust pricing strategies, and improve product offerings. Transactional data helps businesses determine the customer lifetime value of different types of customers, ensuring profitability and long-term success.

Using analytics supports personalized customer experience

Understanding customer profiles and their customer journey helps brands provide more personalized experiences. Analytics tools help segment customers based on preferences, behavior, and engagement history, allowing companies to offer personalized recommendations, customer loyalty programs, and exclusive deals that increase customer retention.

In addition, marketers can target specific groups of consumers when they have easy data access. For example, they can use data gathered from customer feedback to determine their best customers and what products and services appeal to them. This insight effectively guides them down the sales funnel and allows for tailored advertising messages for these individuals.

Analyzing customer data can help you increase profits

Did you know that by analyzing customer data, salespeople can optimize pricing to maximize profits? They can use customer insights such as purchase history and customer segments to identify profitable products and adjust the pricing accordingly. Also, it is much easier to create different pricing strategies (dynamic pricing, for example) for different customer groups.

Businesses attract more loyal customers

Finally, brands can build loyal followers through customer analysis. Companies can use customer feedback to discover what their fans like and dislike. They can then incorporate these actionable insights into their brand identity and marketing strategies.

It sounds great, doesn’t it? However, you need to think over several things before you start analyzing the data.

Before you start analyzing data…

To fully benefit from customer analytics, consider the following steps:

#1 Understand the business context

It should be a starting point. The ultimate goal of any business is to sell and increase revenue. But think of how you want to achieve it and what steps you want to take. Align your data collection with your overall business priorities, whether that means increasing customer lifetime value, reducing customer churn, or improving cross-selling strategies. Having a clear focus will help you track the most relevant data points. For instance, if your goal is to enhance online sales, you will monitor different metrics compared to a business aiming to boost sales in a physical store.

Additionally, remember to set achievable goals. Ensure they’re SMART. They should be specific, measurable, achievable, relevant, and timely. By setting such goals, you will be motivated and will achieve them on time.

#2 Identify your analytical goals

When you’re ready with your business goals, it’s time to focus on your analytical ones, which means what you want to monitor. For e-commerce businesses, it may be customer engagement, on-site search, etc. But, of course, those are only a few basic examples, and it all depends on what type of business you have and how your customer journey looks at your store. Are you planning to focus on customer acquisition, improving customer retention, or enhancing customer engagement? Setting clear objectives helps identify which types of data are most relevant to your business. So, take a moment and think about what your strategy would be.

Remember that all companies are different. The ultimate goal is to increase revenue, and there are many ways to do that, such as focusing on the user purchasing experience. However, some other brands might focus on enhancing marketing strategies or any other aspect. In that case, they would track different metrics.

#3 Decide what metrics are the most important for your business

Deciding what metrics to follow might be a challenging task. Yet, they all seem vital. However, after identifying your goals and objectives, it should be less complicated. A clear understanding of what’s essential for your business—whether that’s tracking customer loyalty, managing customer retention costs, analyzing purchase history, or measuring net promoter score—enables you to identify which metrics are crucial for achieving your goals. This clarity will guide your focus and ensure that you gather and analyze the valuable data to drive your business forward.

Additionally, consider the types of data points that will give you insight into your business performance and guide future decisions. Also, take the time to analyze the data sets to identify critical correlations and trends — for instance, the most popular products in your store based on the search results.

By taking the time to understand what metrics are most important for your business, you can ensure that you make the best decisions for your company.

👉 Here are what metrics are worth following in e-commerce.

#4 Choose analytical tools

Analytical tools measure various aspects of business productivity, product or service quality, support businesses to grow their customer base, and more. Also, they help determine if the products are effective and safe. You can gain valuable insights into customer behavior, product performance, and overall trends with the right customer data platform (CDP).

However, selecting one might be an uphill battle. You will realize how difficult it is to decide once you search for a suitable tool for your business. Why? Because there are many of them — Customer Relationship Management (CRM) platforms, Google Analytics, Luigi’s Box… all deal with data, but which is the best one? You need to decide. And it will depend on whether you care more about, say, centralizing communication with clients or analyzing the information you have about them.

Before investing money into a tool, here are some tips on choosing the most suitable one.

Choosing a customer data platform will be easier once you set business and analytical goals and know your audience. While researching, it’s a good idea to compare the platform to the competitors. Consider their pricing, features, and user reviews. The reviews are critical — you can learn about user experience firsthand and whether it’s worth the purchase, time, and effort.

Also, check out its customer data integrations. When choosing an analytical software program, it’s essential to consider the tool’s different integrations. Look for a CDP that can integrate with your current e-commerce platform, payment gateway, and other business tools. With such integrations, the data flow and reporting is a seamless process.

Once you’ve identified the best customer data platforms for your e-commerce business, it’s time to test them out. It would be great if the tool of your choice provides a free trial, so you can see how it performs in practice. Look for the most relevant features, such as customer segmentation, purchase funnel analysis, or A/B testing. Test out the tools to ensure they provide the insights you need.

How to analyze customer data and track performance?

Keeping track of performance is crucial to determining which analytics goals are being met and which aren’t. Using analytics may be highly beneficial for many teams and departments — for example, marketing teams, sales teams, customer service teams, IT departments, and more.

Of course, tracking and analyzing data will look different depending on the goals you’ve set. Here are some general tips that may help you do it effectively.

Monitor the key metrics regularly

Regularly it may mean once a day, once a week, or even once a month. It all depends on the metrics and their importance. The best would be to discuss it with the data specialist to set the time frame and plan when it’s best to get the reports.

For some e-commerce stores, it may be enough to track the shopping cart abandonment metric once a month, but when you decide to make a big sale, such as buy two and get one for free, it may be a good idea to analyze how loyal shoppers and potential customers behave only when the sale is on.

Optimize areas in your business based on chosen metrics

When you see some alarming decreases or increases in the metrics you consider essential, don’t wait. Instead, optimize them with specific actions based on descriptive analytics to understand the reasons behind these fluctuations. Also, keep tracking the metrics to control the changes.

Take into account a bigger picture

It’s vital to consider a broader perspective. The alarming changes might signal that something is happening in the market that affects customer engagement. For example, new solutions are available in the e-commerce industry, or new competitors have entered the market.

Segment your audience

Audience segmentation categorizes customers based on their behavior, preferences, or other aspects like age, where they live, how likely they are to churn, or their purchase history. It helps you target them with specific messages and products, which is also great for marketing purposes.

Also, segmenting has several benefits — it allows you to identify the type of customer you have and provides valuable insights into their behaviors. You will gain an understanding of your customers’ needs, motivations, preferences, and pain points and discover effective ways to develop targeted strategies and solutions that not only address their needs but also enhance their overall customer experience with your brand. Also, knowing your customers’ expectations gives you a better understanding of what analytics goals you should be setting.

Read customer data with Luigi’s Box

Using analytics with Luigi’s Box solution is easy and quick. It provides a solid set of tools like analytics, product recommender, AI-powered site search, and personalized product listings. But the list goes on. With Luigi’s Box capabilities, customer data analysis is a pleasure.

You can measure your results with Luigi’s Box. How? Thanks to its many valuable features and functions for data analysis. Let’s take a look at them!

Take advantage of a user-friendly dashboard

You can see everything neatly organized and in place with an intuitive dashboard. There’s no need to jump between all the reports — the dashboard conveniently displays them all, so you can get a quick overview of the search status whenever you want.

With Luigi’s Box, customer data analysis is straightforward and getting the answer to questions like

• Is my search converting?
• Do many customers get “no results“?
• What percentage of searches result in irrelevant content?

is just a matter of seconds.

Dig into content analysis

What’s more, you can get your content analysis pretty quickly — meaning how your customers find out about your website. For instance, you can improve your content and its findability by correcting typos, finding niche queries, and rephrasing them. For relevant queries, you’ll see which products are found most frequently and whether they are listed appropriately.

Check out trends

Luigi’s Box will give you more actionable insights if you want to see what products are the most popular at the moment and what the e-commerce search trends are. You’ll get to know the following:

• search terms your customers use
• what products are hard for them to find
• how to make their search experience better and avoid customer churn

Aside from that, you’ll see if your top queries are performing effectively.

Fix bugs immediately

A search bug often ruins the whole effort you put into a campaign (for instance, Google Ads) — people are driven to the wrong landing page and give up purchasing at your store because they can’t find what they are looking for. Mind that the e-commerce industry is tremendous, so going to the competitors is relatively easy these days.

Luckily, you can prevent such situations using the FixIt feature. With this Luigi’s Box solution, you get bugs fixed on the spot and be happy with relevant content and results.

To start using Luigi’s Box, you should:

• create an account by filling out a quick form – you need to enter some basic personal details such as name or email address
• insert the script – it’s just one line of code
• launch Analytics – then you’ll see all the details and essential metrics on the dashboard
• take advantage of the reports!

So if you’re running an e-commerce business and want to maximize your revenue using customer database analytics, Luigi’s Box is an excellent choice! And some good news here is that analyzing is not the only powerful feature. There’s also…

Product Recommender system

The product recommender system lets your customers get recommendations based on their previous purchases and preferences. This shortens the customers’ path — they don’t have to look for the product they might want to buy because they’re close at hand. What’s even better is that they are personalized.

Intelligent Search with autocomplete

The other tool is an intelligent Search with autocomplete solution. The process of searching for items becomes more accessible, which increases customer satisfaction. Users do not have to worry about typos (which are frequent, especially when we’re in a rush), and it saves time — there’s no need to type the whole search query to get the relevant results.

If you want to interpret the other customer interaction with your e-commerce website, Google Analytics might be a complementary tool to Luigi’s Box.

Analyze and read customer data with ease

Now you know how to read data — with the right tool! Luigi’s Box is perfect for e-commerce, startups, B2B, SaaS, and more if you haven’t decided on the customer data platform yet. Thanks to a solid set of features, you can keep an eye on important metrics, increase customer satisfaction, and put those insights into action to meet your customer needs.

So don’t wait up. Book a demo call with Luigi’s Box reps today to start analyzing data, optimizing your customer journey, and driving customer engagement!