This website uses cookies to improve your experience. By continuing to browse, you accept our cookie policy.

Cookie Settings

We use cookies to personalize content, provide social media features and analyze our traffic. We also share information about your use of our site with our web analytics partners.

Necessary Cookies

These cookies are essential for the website to function and cannot be disabled.

Analytics Cookies

These cookies help us understand how visitors interact with the website.

Marketing Cookies

These cookies are used to track visitors across websites for advertising purposes.

Discover your most profitable eCommerce customers and why!

Create customer groups based on their behavior and find out what factors make them buy more. Start personalizing! Take advantage of your e-commerce data by applying customer intelligence. Your e-commerce stores a large amount of customer data, and now is the time to start using it. The first thing we need to do is to visualize this information clearly and simply to get the most out of it.

Create customer groups based on their behavior and discover the factors that make them buy more.

Start personalizing now!

Leverage your e-commerce data by applying customer intelligence.

Your e-commerce stores a large amount of customer data; now it’s time to start using it. The first step is to visualize this information clearly and simply to make the most out of it.

In this video, you will see how to group your customers based on their CLV (Customer Lifetime Value), which means how much they contribute to your business, and you will do this without needing any technical knowledge. By following the steps in this video, you'll gain insights into your customers like never before.

What will you learn from this video?

  1. How to access the CLV view in Pleasepoint
  2. How to interpret the CLV information for each created group.
  3. How to start leveraging the information by creating communication groups for each segment.


This new view of your customer database is important because it will be the foundation for starting to create personalized campaigns based on the value of your clients, and you’ll be able to stop running mass promotions.

Some Tips

It’s important to treat your high-value clients personally and remember that you don’t need to create very aggressive promotions for them to return... Avoid deteriorating your margins.

Medium-value clients are potential high-value clients. Learning what factors make clients move from one group to another is crucial when creating campaigns for this group.

For low-value clients, you can be more aggressive, but keep in mind that you might end up losing money... so measure your promotions carefully.

Real results from real companies

See how organizations across industries have transformed their operations with AI intelligence.

eCommerce PrestaShop Success Story: Real Sociedad.
#01 Success story

eCommerce PrestaShop Success Story: Real Sociedad.

The goal is to offer a unique experience to fans at every touchpoint.

Success Case: How Norauto personalizes their campaigns.
#02 Success story

Success Case: How Norauto personalizes their campaigns.

Norauto is clear: They need a data strategy for their campaigns.

Online supermarket success story: One-to-one for Condis.
#03 Success story

Online supermarket success story: One-to-one for Condis.

Condis’ challenge is achieving real-time one-to-one personalization in both its platform and CRM for each user.

Case Study: Flormar revolutionizes loyalty with AI
#04 Success story

Case Study: Flormar revolutionizes loyalty with AI

Flormar revolutionizes its loyalty with predictive AI and achieves a much higher average ticket.

Success Story: AI Agent for Atelier Libros.
#05 Success story

Success Story: AI Agent for Atelier Libros.

Success story of Atelier Libros: How to offer an efficient and personalized experience in its digital library.

Your competitors are already 6 months ahead, catch up in 48 hours

While they built custom solutions for months, you can have AI in production this week. No more falling behind. Choose your path: explore the tech or jump straight to a PoC with your real data.

Technical architecture walkthrough
Engineering team support included

Built on AWS. Validated by AWS.

ISV-Accelerate Partner with AI/ML and Retail competencies. The infrastructure you trust, the innovation you need.

AI/ML Competency
Validated expertise in machine learning and generative AI solutions
Retail Competency
Proven results in eCommerce and retail digital transformation
ISV-Accelerate
Technical validation passed. Co-selling enabled. Your success guaranteed.