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Home > Blog > Data Analytics

How to Conduct Customer Behavior Analytics in Excel?

Consumer behavior analytics involves gathering and analyzing data to comprehend customer buying trends, preferences, and demands.

customer behavior analytics

Every successful business must analyze what and how customers buy. This enables you to better comprehend your customers and tailor your offerings to meet their wants and needs.

Understanding how customers interact with your products or services provides key consumer insights. These insights aid in improving your offerings and fostering solid client relationships and loyalty.

Your goals will dictate how you approach this and how in-depth you go.

Table of Content:

  1. What are Customer Behavior Analytics (CBA)?
  2. Why is Consumer Behavior Analytics Important For Business?
  3. Predictive Analytics to Understand the Behavior of Customers
  4. Key Components of a Customer Behavior Analysis
  5. Top 6 Types of Customer Behavior Data
  6. How to Perform Customer Behavior Tracking in 5 Steps?
    • Step 1: Define Clear Goals
    • Step 2: Collect Customer Data
    • Step 3: Segment Your Audience
    • Step 4: Analyze Customer Behavior
    • Step 5: Apply Insights and Optimize
  7. Data Collection Methods for Customer Behavior Analysis
  8. Customer Behaviour Analysis Tools
  9. How to Analyze Customer Behavior Data in Excel?
  10. How to Apply Consumer Behavior Insights for Business Success?
  11. Benefits of Customer Behavior Modeling
  12. Challenges in Customer Behavior Analytics
  13. Best Practices to Create a Consumer Behavior Analysis Report
  14. Customer Behavior Analytics – FAQs
  15. Wrap Up

What are Customer Behavior Analytics (CBA)?

Definition: Customer Behavior Analytics (CBA) is the process of analyzing how customers interact with a business across different touchpoints.

It involves studying their actions, preferences, motivations, and challenges to understand why they make certain decisions.

By leveraging data from purchases, website visits, social media, and other interactions, businesses can uncover patterns that help improve operations, personalize marketing, enhance customer experiences, and forecast future trends.

Why is Consumer Behavior Analytics Important For Business?

Consumer Behavior Analytics is crucial because it helps businesses understand why customers make purchasing decisions and how they interact with products or services. By analyzing customer preferences, buying habits, and feedback, businesses can:

  • Improve Customer Experience: Tailor services and support to meet customer needs more effectively.
  • Personalize Marketing: Deliver targeted campaigns that resonate with specific audiences.
  • Boost Sales and Retention: Identify opportunities to upsell, cross-sell, and keep customers loyal.
  • Spot Market Trends Early: Stay ahead of competitors by recognizing shifts in demand or behavior.
  • Make Data-Driven Decisions: Reduce guesswork and invest resources where they will have the most impact.

Predictive Analytics to Understand the Behavior of Customers

Predictive analytics uses historical data, statistical models, and machine learning techniques to forecast future customer actions. By analyzing past purchases, browsing behavior, engagement patterns, and demographic data, businesses can anticipate what customers are likely to do next.

For example, predictive analytics can help identify which customers are most likely to churn, which products a buyer may purchase in the future, or how seasonal trends impact demand.

This allows businesses to create proactive strategies—such as targeted promotions, personalized recommendations, and loyalty offers—to improve customer retention and maximize revenue.

Key Components of a Customer Behavior Analysis

A thorough customer behavior analysis focuses on several core components that help businesses understand their audience and improve decision-making:

  • Customer Demographics: Basic details like age, gender, income, and location that influence buying patterns.
  • Purchase Behavior: Insights into what customers buy, how often, and at what price point.
  • Customer Journey Mapping: Tracking how customers move from awareness to purchase across different touchpoints.
  • Motivations and Pain Points: Understanding the reasons behind purchases and the obstacles customers face.
  • Engagement Channels: Analyzing interactions across email, social media, websites, and offline platforms.
  • Feedback and Sentiment: Using reviews, surveys, and social listening to gauge customer satisfaction and expectations.
  • Predictive Insights: Leveraging data to anticipate future trends and customer needs.

Top 6 Types of Customer Behavior Data

To analyze customer behavior effectively, businesses rely on several types of data:

  • Demographic Data: Age, gender, income, location, and other personal details that influence preferences.
  • Transactional Data: Purchase history, order frequency, average spend, and payment methods.
  • Engagement Data: Interactions with websites, apps, emails, and social media platforms.
  • Psychographic Data: Interests, values, lifestyle, and attitudes that shape buying motivations.
  • Behavioral Data: Actions such as product views, cart additions, clicks, and browsing time.
  • Feedback Data: Customer reviews, surveys, and ratings that reveal satisfaction and pain points.

How to Perform Customer Behavior Tracking in 5 Steps?

  • Step 1: Define Clear Goals

Start by identifying what you want to achieve with customer behavior tracking. Do you want to improve conversions, reduce churn, or increase engagement? Setting clear goals helps you focus on the right data points.

  • Step 2: Collect Customer Data

Gather data from multiple touchpoints such as website analytics, social media, CRM systems, email campaigns, and customer feedback. This ensures you capture a full view of how customers interact with your business.

  • Step 3: Segment Your Audience

Group customers based on shared traits like demographics, buying patterns, or engagement levels. Segmentation makes it easier to analyze behaviors and tailor strategies for different customer groups.

  • Step 4: Analyze Customer Behavior

Use analytics tools to identify trends, preferences, and problem areas. Look for patterns in browsing behavior, purchase frequency, or content engagement to understand what drives customers’ decisions.

  • Step 5: Apply Insights and Optimize

Turn insights into action. Personalize marketing campaigns, improve the customer journey, and refine your products or services based on the data. Continue to monitor results and adjust strategies for better outcomes.

Data Collection Methods for Customer Behavior Analysis

  • Surveys and Questionnaires

Collect direct feedback from customers about their preferences, satisfaction, and expectations to better understand decision-making patterns.

  • Website and App Analytics

Track user behavior such as clicks, navigation paths, and conversion funnels with tools like Google Analytics.

  • Transaction Data

Analyze purchase history, order frequency, and spending habits to identify buying patterns and loyalty trends.

  • Social Media Monitoring

Monitor customer conversations, reviews, and engagement on platforms like Facebook, Instagram, or LinkedIn to gauge sentiment and trends.

  • CRM Systems

Use customer relationship management platforms to gather detailed interaction history across marketing, sales, and support.

Customer Behaviour Analysis Tools

Here are some popular customer behavior analytics tools:

  • Google Analytics

Helps track website traffic, user journeys, bounce rates, and conversions to understand online customer behaviour.

  • Mixpanel

Focuses on product analytics, allowing businesses to see how users engage with features, funnels, and events inside apps or websites.

  • Hotjar

Provides heatmaps, session recordings, and surveys to visualize user activity and gather feedback directly from customers.

  • HubSpot

Combines CRM, marketing, and analytics features to give a complete view of customer interactions across email, social media, and websites.

  • ChartExpo

ChartExpo is an easy-to-use data visualization tool for Excel, Google Sheets, and Power BI. It lets you create advanced charts like Sankey Diagram, Likert, and Pareto without coding, making customer behavior insights easy to understand and present.

How to Analyze Customer Behavior Data in Excel?

Customer behavior analytics is key to unlocking a deeper understanding of customer needs and preferences. It can also help you identify potential areas for improvement and growth opportunities.

To effectively analyze this data, it’s important to understand what a data analyst does: they use various tools and techniques to sift through complex data sets, uncover trends, and provide actionable insights.

Excel presents customer behavior data in a tabular format. As a result, sifting through the data is a difficult task. However, you can quickly extract useful information from the data with the right approach.

This necessitates the use of a third-party tool to make analysis easier.

ChartExpo is the ideal tool for powerful data visualization and analysis.

Why ChartExpo?

Benefits of Using ChartExpo

  • ChartExpo visualizations enable you to glean insights into massive amounts of data more easily and quickly. It allows you to create insightful charts and graphs with a few clicks. It also allows you to customize the visualizations to present your data effectively.
  • ChartExpo offers a free trial, so you may test the features before committing to its $10 monthly subscription. Thus an excellent choice for businesses on a budget.
  • ChartExpo has an intuitive user interface. This makes it easy for you to create insightful visualizations without the need for extensive technical knowledge.

How to Install ChartExpo in Excel?

  1. Open your Excel application.
  2. Open the worksheet and click on the “Insert” menu.
  3. You’ll see the “My Apps”.
  4. In the office Add-ins window, click “Store” and search for ChartExpo on my Apps Store.
  5. Click on the “Add” button to install ChartExpo in your Excel.

ChartExpo charts are available in Google Sheets and Microsoft Excel. Please use the CTAs below to install your preferred tool and create beautiful visualizations in just a few clicks.

Customer Behavior Analysis Example

Assume you have the following data on traffic (customer) flow. You want to track your website’s customer journey.

Starting Point Platforms View product & details Add to Cart Cart Status Ending Point Traffic
External Ad Mobile App View product & details Add to Cart Clear Cart Exit 20177
External Ad Mobile App View product & details Add to Cart Checkout Purchase 26674
External Ad Mobile App View product & details Add to Cart Click on another product Purchase 11616
External Ad Mobile App View product & details Exit 21965
External Link Mobile App View product & details Add to Cart Clear Cart Exit 24979
External Link Mobile App View product & details Add to Cart Checkout Purchase 6684
External Link Mobile App View product & details Add to Cart Click on another product Purchase 12829
External Link Mobile App View product & details Exit 27434
Direct Search Mobile App View product & details Add to Cart Clear Cart Exit 11281
Direct Search Mobile App View product & details Add to Cart Checkout Purchase 8102
Direct Search Mobile App View product & details Add to Cart Click on another product Purchase 22124
Direct Search Mobile App View product & details Exit 6305
Organic Search Mobile App View product & details Add to Cart Clear Cart Exit 11376
Organic Search Mobile App View product & details Add to Cart Checkout Purchase 12751
Organic Search Mobile App View product & details Add to Cart Click on another product Purchase 25429
Organic Search Mobile App View product & details Exit 7034
External Ad Official Website View product & details Add to Cart Clear Cart Exit 13854
External Ad Official Website View product & details Add to Cart Checkout Purchase 6357
External Ad Official Website View product & details Add to Cart Click on another product Purchase 20156
External Ad Official Website View product & details Exit 25474
External Link Official Website View product & details Add to Cart Clear Cart Exit 17788
External Link Official Website View product & details Add to Cart Checkout Purchase 9670
External Link Official Website View product & details Add to Cart Click on another product Purchase 13131
External Link Official Website View product & details Exit 11169
Direct Search Official Website View product & details Add to Cart Clear Cart Exit 5747
Direct Search Official Website View product & details Add to Cart Checkout Purchase 11817
Direct Search Official Website View product & details Add to Cart Click on another product Purchase 26562
Direct Search Official Website View product & details Exit 8389
Organic Search Official Website View product & details Add to Cart Clear Cart Exit 28670
Organic Search Official Website View product & details Add to Cart Checkout Purchase 11015
Organic Search Official Website View product & details Add to Cart Click on another product Purchase 18522
Organic Search Official Website View product & details Exit 8023

Follow through as I show you how to analyze customer behavior data in Excel.

  • To get started with ChartExpo, install ChartExpo in Excel.
  • Now, click on My Apps from the INSERT menu.
insert chartexpo in excel
  • Choose ChartExpo from My Apps, then click Insert.
open chartexpo in excel
  • Once ChartExpo is loaded. Click on “Sankey Chart” from the list of charts.
search sankey chart in excel
  • Click the “Create Chart From Selection” button after selecting the data from the sheet, as shown.
create sankey chart in excel
  • The Sankey Chart will look as follows.
edit sankey chart in excel
  • If you want to have the title of the chart, click on Edit Chart, as shown in the above image.
  • To change the title of the chart, click on the pencil icon that is available very next to the Chart Header.
  • It will open the properties dialog. Under the Text section, you can add a heading in Line 1 and enable the Show option. Give the appropriate title of your chart and click on the Apply button.
settings sankey chart in excel
  • To change the node color, click on the pencil icon available with the node. Expand the Node properties and change the color from the Node Color property. Click on the Apply button.
  • For saving changes, click on Save Changes. This will persist the changes.
save sankey chart in excel
  • The final chart will look as below.
customer behavior analytics in excel

 Insights

  • The majority of the traffic, 146.27k, came from external advertising, equating to about 30% of the total.
  • Mobile app traffic accounted for the highest amount at 256.76k, compared to the website app’s 236.34k.
  • At level 3, all the traffic went to the product and detail pages. 377.31k users added a product to their cart, and 115.79k left after viewing it.
  • Of the 377.31k, 133.87k completed their transaction and exited.
  • 07k checked out, and 150.37k clicked on another product, suggesting they were interested in purchasing multiple items.

How to Apply Consumer Behavior Insights for Business Success?

  • Product Innovation

Consumer behavior insights help businesses understand what customers truly want. By analyzing preferences and feedback, you can design new products or improve existing ones to match customer expectations and solve their problems effectively.

  • Targeted Marketing

Instead of using a one-size-fits-all approach, insights allow you to segment audiences and create campaigns tailored to their interests, behaviors, and needs. This makes marketing efforts more relevant and increases conversion rates.

  • Customer Experience

Tracking how customers interact with your brand highlights pain points in the buying journey. By fixing these issues and enhancing touchpoints, you deliver smoother experiences that build trust and satisfaction.

  • Pricing Strategies

Understanding consumer spending behavior helps you adjust pricing, discounts, and product bundles. Smart pricing strategies, backed by insights, influence purchase decisions and maximize profitability without alienating customers.

  • Retention & Loyalty

Insights make it easier to predict customer churn and identify loyal buyers. With this knowledge, you can create personalized loyalty programs, offer exclusive deals, and strengthen long-term relationships.

Benefits of Customer Behavior Modeling

  • Improved Customer Understanding

Behavior modeling helps businesses gain deeper insights into customer needs, motivations, and decision-making patterns.

  • Personalized Marketing Campaigns

By predicting customer preferences, companies can design targeted campaigns that increase engagement and conversion rates.

  • Better Customer Retention

Understanding behavioral trends makes it easier to identify churn risks and implement strategies to keep customers loyal.

  • Optimized Product Development

Insights from behavior modeling highlight what features or products customers value most, guiding future development.

  • Increased Revenue Growth

Businesses can cross-sell, upsell, and recommend products more effectively by predicting customer buying behavior.

Challenges in Customer Behavior Analytics

While customer behavior analytics provides valuable insights, businesses often face several challenges when implementing it effectively:

  • Data Overload: With multiple data sources, businesses often struggle to filter out noise and focus on actionable insights.
  • Data Quality Issues: Incomplete, inconsistent, or outdated data can lead to inaccurate conclusions.
  • Integration of Data Sources: Combining data from websites, apps, CRM, and social media can be complex and time-consuming.
  • Privacy and Compliance Concerns: Collecting and analyzing customer data must align with regulations like GDPR or CCPA.
  • Interpreting Complex Data: Even with the right data, translating numbers into clear business strategies can be difficult without the right expertise.
  • Changing Customer Behavior: Consumer habits evolve quickly, making it hard to keep analytics models up to date.

Best Practices to Create a Consumer Behavior Analysis Report

Creating a strong consumer behavior analysis report requires structure, clarity, and actionable insights. Here are the best practices to follow:

  • Define Clear Objectives: Start with specific goals—such as improving retention, boosting sales, or understanding buying patterns.
  • Collect Accurate Data: Use reliable sources like surveys, CRM, transaction data, or analytics tools to ensure quality insights.
  • Segment Your Audience: Break down customers by demographics, purchase frequency, or behavior to reveal meaningful patterns.
  • Use Visualizations: Present data with clear charts and graphs (tools like ChartExpo help make complex insights easy to understand).
  • Highlight Key Insights: Focus on trends, preferences, and pain points that directly impact business decisions.

Customer Behavior Analytics – FAQs

How do you measure customer behavior?

Regular market research and surveys will allow you to capture customer behavior and what influences them. Analyzing this data then allows you to understand your customers better.

What is Behavioral Data Analytics?

Behavioral data analytics involves analyzing data to reveal insights about customers’ behavior. This lets you precisely determine the customer’s preferences and purchasing patterns. Consequently, improve the customer experience, increase customer loyalty, and drive revenue and profitability.

How do I conduct customer behavior analytics in Excel?

To analyze customer behavior analytics in Excel, use ChartExpo. ChartExpo is a potent Excel add-in that allows you to create insightful charts and graphs. Its intuitive interface allows you to create and customize visualizations to present your data effectively.

Wrap Up

Analyzing consumer behavior is an effective technique to glean useful insights into your customers. You can forecast client behavior by scrutinizing past interactions thanks to the power of customer behavior analysis.

Studying your customers enables you to build customized customer experiences. It’s a significant step towards achieving customer satisfaction and fostering client loyalty.

A data visualization tool is the most efficient method for understanding consumer behavior. It facilitates a clear and concise presentation of data. This eases the gleaning of insights about your customer base.

ChartExpo for Excel is an unrivaled data visualization tool. It allows for the creation of insightful charts and graphs for your analysis using its robust features.

Now you have the necessary skills to conduct customer behavior analytics in Excel with ChartExpo.

What are you waiting for?

Install the tool and start creating your visualizations in no time.

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