Quantitative data analysis software helps you track how well your website is doing, understand which marketing channels bring in the most traffic, and increase your chances of turning visitors into customers. But with so many analytics tools to choose from, finding the right solution for your needs can take time and effort.

To help you narrow down your options, we’ve compiled a list of the top 8 quantitative data analysis tools, along with helpful tips on choosing the best tools for your needs. We also share some practical ways to pair Contentsquare with your chosen tool to gain in-depth user insights and increase customer delight.

Quantitative data analysis involves analyzing and interpreting numerical data to identify meaningful patterns and trends in user behavior. 

For example, if you want more people to sign up for your product, you can use quantitative data analysis to learn how many people looked at your product or pricing page, how long they stayed on these pages, and how often they signed up. 

To help you stay on top of your site’s performance, let’s explore the best tools for quantitative data analysis, including what each tool does, why you should consider adding it to your tech stack, and how to use it.

1. Google Analytics

Google Analytics (GA4) is a popular website analytics software for quantitative data analysis and research that lets you track what's happening on your site. With Google Analytics, you can see what visitors do on your website—which pages they visit, how long they stay, and if they leave quickly

How it helps: use Google Analytics to monitor website user behavior and learn 

• How many people visit your site

• Where they come from (search engines, social media, or referrals)

• What devices they use to access your site (desktop or mobile)

• Which pages they visit

• How long they spend on each page

• Which pages are the most popular 

• Where visitors drop off

How to use it: to start using Google Analytics, create an account and set up a property for your website or app. Once you've configured with your site, it automatically collects data on every page view, bounce, drop off, and conversion. You can also configure goals, set up conversion tracking, create custom reports, and explore user behavior in real time. 

💡 Pro tip: use the Contentsquare and Google Analytics integration to gain deeper insights into how users interact with your website.

For example, say you want to optimize the checkout process for your ecommerce site to reduce cart abandonmen rate. Google Analytics shows you what’s happening on your site, but it doesn't tell you why the drop-offs occur. Contentsquare, on the other hand, helps you understand the 'why' behind those numbers. 

Take session replays, for instance:

Session replays let you see exactly how users navigate through the checkout process and spot potential issues that made them drop off

Replays let you observe users' mouse movements, clicks, and hesitations, helping you uncover specific areas where they might get confused or frustrated.

Combining quantitative and qualitative data gives you a more complete understanding of user behavior, which empowers you to identify and address specific issues, optimize your site’s UX, and ultimately increase your conversion rates.

We use Contentsquare daily to monitor asset performance and make changes to our site. It would be challenging if we were completely dependent on Google Analytics or any other analytical tool.

Mohammed Zeeshan, User Experience Manager at BFL Group

2. Contentsquare

Contentsquare (that’s us 👋) is an experience intelligence platform with quantitative and qualitative tools and features like

• Experience Analytics that track user behavior with Funnel and Journey Analysis, benchmarks, Session Replay, and Heatmaps to see what users are doing on your site and where they're dropping off

• Voice of Customer capabilities for direct user input through feedback widgets, Surveys, User Tests, and one-on-one Interviews to understand why users drop off

• Product Analytics that track multi-session journeys with detailed visual dashboards that help you keep conversion and retention rates in focus

• Experience Monitoring tools to help you address any performance and technical issues standing in the way of customer success

Contentsquare dashboards provide visual insights and analytics that let you create reports and understand how visitors interact with your website

How it helps: Contentsquare shows you what your users do on your site and why—you can access visual quantitative and behavior insights, real-time user feedback, and one-to-one interviews, all in one place.

For example, Contentsquare Funnels Analysis measures how many users converted or dropped off, and Session Replay shows you their entire experience while using your site, so you can tell why they dropped off. You can also combine behavior analytics insights from Contentsquare with quantitative data from traditional tools like Google Analytics or Mixpanel to 

• Get a more complete picture of user behavior

• Pinpoint specific issues your users might be having

• Improve the overall user experience

• Ultimately increase conversions

How to use it: if you're looking to use Contentsquare for quantitative data analysis, you can approach it in many different ways since our tools and features complement each other. Here are three ideas to help you get started.

1. Use heatmaps to identify where visitors click on your most important pages

When it comes to optimizing your site’s UX, relying on gut feelings or copying competitors won’t take you far, especially since your audiences aren’t exactly the same. You need specific insights about your own users to understand and improve their experience. 

Heatmaps show you how users interact with your most important pages—how far they scroll, which elements they ignore, and the buttons they click (or don't click), which helps you identify obstacles that keep them from converting and make informed changes.

With Heatmaps, you can optimize your site’s layout and design by making important elements more prominent or improving the placement of clickable elements

For example, online grocery business Ocado Retail used Heatmaps to find out where visitors click and how far they scroll on their most important pages. The team found many website visitors tried to click on an unclickable hero image. After optimizing the area, they created a better experience for prospects.

2. Use benchmarks to spot patterns in user behavior

Contentsquare Benchmarks gives you the complete picture, so you can visualize your metrics, uncover patterns in user behavior, and understand the real 'why' behind the numbers. Trends & Insights lets you

• See your custom conversion metrics and track their changes over time

• Review individual recordings to discover the reasons behind the metrics

• Analyze errors spotted in recordings or patterns in rage click maps to determine if the behavior is isolated or widespread

With Contentsquare, you can easily visualize metrics in charts, track them over time, and add them to your dashboard

For example, to make your site's checkout process smoother for users, you can use Benchmarks to visualize the checkout conversion rate over time and notice any changes. To better understand their behavior, you can review individual session replays to see why users abandoned the checkout process and where they struggled. 

Contentsquare also lets you segment your data based on user groups, such as new versus returning customers. By comparing their behavior, you may find new users have a higher cart abandonment rate than returning ones, which helps you focus on improving the onboarding process and providing clearer instructions to new users during checkout.

3. Use funnels to identify where in the customer journey users drop off

Contentsquare Funnel Analysis lets you track how visitors interact with your website and see where visitors convert or drop off. Pairing Funnels with Journey Analysis lets you

• View specific recordings from relevant funnels to see why users churn

• See your lowest-converting steps, so you can identify how to improve these areas

• Compare conversion performance between different marketing channels and more

• Gather rich insights using filters and user attributes

Funnels bridge the gap between your conversion rates and what real users are doing on your site

For example, HARTING Technology Group used Journey Analysis and noticed their users were dead-ending on product detail pages (PDPs). Combining quantitative and qualitative data helped HARTING reveal and resolve website pain points like too many call-to-actions (CTAs), information overload, and difficulty with product search. 

Our goal is to make it as easy and efficient as possible for our customers to achieve their goals across our digital channels. Contentsquare supports our customer-centricity initiative and helps us improve our customer's digital experience based on data.

Mike Knobel, Engineering Data & Processes Manager at HARTING

3. Mixpanel

Mixpanel is an advanced analytics tool that helps you understand how people use your site, app, or other digital products, so you can make data-backed improvements.

With Mixpanel, you can track events such as clicks, signups, or purchases; extract meaningful insights; and identify patterns or trends

How it helps: use Mixpanel to 

• See how users go through different steps or actions

• Understand which features are working well and which ones need adjustments

• Create and analyze reports about how users behave

• Group users into categories and track them over time

• Make informed changes to increase conversions

How to use it: to start using Mixpanel, you need to integrate it into your product or service by adding tracking code or using its SDKs. Once the integration is complete, Mixpanel starts collecting and analyzing user data.

💡 Pro tip: use Contentsquare's Mixpanel integration to filter and send targeted surveys. 

Say you have an ecommerce website that sells clothing, and you want to gather insights about customer preferences to improve the shopping experience.

With Mixpanel, you can track customer actions and segment them based on their behaviors and preferences. Then, with Contentsquare, you can send targeted surveys to gather insights about the customer experience and collect suggestions for improvement.

This combination of quantitative and qualitative insights will help you personalize and improve the buying experience for users, ultimately increasing their satisfaction.

 Use a Contentsquare survey to learn about customer satisfaction with your site, product, or service

4. Amplitude

Amplitude is a product analytics and event tracking platform that helps you analyze user behavior, track key metrics, and gain insights into product performance. Their platform offers data exploration, cohort analysis, user segmentation, and funnel analysis capabilities, allowing you to measure, compare, and identify trends in user behavior.

How it helps: Amplitude specializes in behavior analytics—helping you understand how users interact with your product, so you can identify patterns, trends, and opportunities to optimize your site. Amplitude also provides retention tracking and engagement analysis tools that measure user retention over time.

How to use it: to use Amplitude, you need to integrate it into your product or service by adding its tracking code. Once integrated, Amplitude will start collecting and processing user interaction data, so you can see what’s happening on your site.

5. Optimizely

Optimizely is a digital experience platform that lets you A/B test different variations of your site and run experiments to compare their performance and improve the user experience.

Optimizely lets you test different variations of your site or app, analyze the impact on user behavior, and create personalized experiences to improve conversions and engagement

How it helps: Optimizely lets you test variations of your website to understand which version performs better in terms of conversions and click-through rates. Its experiment builder allows you to easily set up A/B tests or multivariate experiments without requiring technical expertise.

How to use it: integrate Optimizely into your website or app by adding its code snippet. After integrating the tool, set up your first experiment by defining the variations, selecting the audience segments, and specifying the goals you want to achieve. Optimizely then tracks user interactions, collects data, and provides analysis and insights to evaluate the experiment results.

💡 Pro tip: combine Optimizely A/B tests with Session Replay and Surveys to understand how users interact with different versions of your product and learn what they think in their own words. 

These tools provide a comprehensive understanding of user behavior, preferences, and opinions, allowing you to optimize your product pages based on real data and deliver a better user experience.

6. Kissmetrics

Kissmetrics is a software for quantitative data analysis that focuses on customer analytics and helps businesses understand user behavior and customer journeys. 

Kissmetrics lets you track user actions, create funnels to analyze conversion rates, segment your user base, and measure customer lifetime value

How it helps: Kissmetrics lets you track individual user behavior over time to understand the specific actions users take, engagement levels, and their impact on your business goals. The tool also provides cohort analysis, so you can group users based on their signup or acquisition date and analyze their behavior over time. 

How to use it: integrate Kissmetrics tracking code into your website or application. Then, use the tool to define and track events relevant to your business. 

7. Omniconvert

Omniconvert is a website optimization platform with A/B testing, surveys, web personalization, customer segmentation, and behavioral targeting features. Their platform helps you collect and analyze quantitative data to understand user behavior and improve conversion rates

How it helps: Omniconvert focuses on conversion rate optimization, helping you analyze user interactions, identify areas of improvement, and run experiments to increase conversion rates. The tool also provides advanced analytics features to track and measure key user behavior, conversions, and engagement metrics to help you understand the performance of your marketing efforts.

How to use it: integrate Omniconverti’s tracking code or use its plugins with your website or app. After integrating, you can set up A/B tests, define segments, and track user interactions.

💡 Pro tip: connect your Omniconvert A/B test experiments to your Contentsquare account and start using Heatmaps and Session Replay to understand user behavior and make changes that ultimately convert more users. 

For example, if you want to understand why users aren’t signing up for your product from your site, you can set up a conversion funnel in Omniconvert to track the entire signup process and identify the specific step where users drop off. With Contentsquare Session Replay, you can watch users experience the signup process to gain insights into their behaviors, struggles, and potential reasons for abandonment.

We’re able to share all this customer behavior insight—the specific device details, the Session Replays, and the real-time data—with our developers who can then find out what’s wrong and make the right optimizations. This improves our team efficiency and means that together, we’re all building a better user experience

Kelly Truong, Experience Design Lead at MyDeal

8. HubSpot

HubSpot is a comprehensive customer relationship management platform that offers a wide range of tools to support your marketing, sales, and customer service efforts. Their tools let you track, analyze, and manage various aspects of your customer interactions, marketing campaigns, and sales activities

How it helps: with HubSpot, you can track various metrics and data points related to your marketing, sales, and customer service activities, such as website traffic, email open rates, conversion rates, and customer interactions. 

Plus, customizable dashboards and reports make it easy to get a quick overview of how things are going—analyze data trends, identify patterns, and gain insights into the performance of your campaigns, content, and channels.

How to use it: create an account and set up your marketing, sales, and customer service processes within the platform. Integrate HubSpot with your website, CRM, and other relevant tools (including Contentsquare!). Then customize your analytics dashboards to track the metrics that matter most to your business, and HubSpot will collect and analyze the data on your behalf.

💡 Pro tip: pair HubSpot with Contentsquare to speed up the process of solving customer support issues and make users happier. 

Say you have a SaaS product and notice increased support tickets related to a specific feature. By analyzing a Contentsquare rage click or zone-based heatmap, you can see where users struggle. 

Contentsquare’s zone-based heatmaps visualize user engagement effortlessly

Once you identify the spots where users are having trouble, create a knowledge base article in HubSpot, with clear instructions and helpful screenshots, to guide users through the process smoothly. You can also improve your support email templates in HubSpot, ensuring they direct users to the article for more help.

As you implement these changes, use Contentsquare feedback tools to gather continuous feedback, so you can tell if users truly find these resources helpful.

How to pick the best quantitative data analysis software for your business

Choosing the best quantitative data analysis tool for your business will help you gather the most accurate and relevant data for your team to make informed decisions. Here are 8 tips for choosing the software that best suits your needs:

1. Know what you need: before choosing a solution, think about the type of data you work with and the kind of analysis you want to perform

2. Do your research: look for well-known tools and read reviews from other users on third-party sites to get an idea of their experiences

3. Check the features: look closely at what each tool offers to ensure it has what you need to make sense of your data

4. User-friendliness matters: choose a tool that's easy to use and doesn't require a steep learning curve—you want something that your team can quickly adapt to and start using effectively

5. Consider the cost: think about what you're willing to spend and look for a tool that fits your budget while providing the features your team needs

6. Give it a test run: many tools offer free trials or demos, so try them out first to determine if it’s the right fit for your business

7. Ask for recommendations: reach out to other businesses or colleagues who have used any of the data analysis tools you might be considering to hear what they have to say about the product

8. Support matters, too: consider the level of support the tool provides—look for resources like documentation, tutorials, and responsive customer support

Use a product experience insights platform to gather more holistic, actionable user data

Quantitative data analysis tools focus on the numbers, like how many people visited your website or how much revenue you generated, but they don’t tell you why your customers took a specific action. 

A product experience insights platform like Contentsquare shows you what's happening and why, giving you a more complete and well-rounded understanding of your users. You can see the big picture while diving deep into the behavior behind the numbers. This combination helps you uncover valuable user insights that create more delight and loyalty.

FAQs about quantitative data analysis software