Discover your most profitable eCommerce customers and why!
Create customer groups based on their behavior and find out what factors make them buy more.
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?
- How to access the CLV view in Pleasepoint
- How to interpret the CLV information for each created group.
- 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.
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"With Pleasepoint, we have moved from the traditional campaign management model to a more dynamic, segmented, and enriched customer model, personalizing CRM campaigns and improving the conversion of our e-commerce channel customers."
Josep Jarque
Digital Project Manager & IT Architect"The implementation of one-to-one personalization has allowed us to generate much more interesting content for users, as well as foster loyalty, improve the shopping experience, and generate additional sales through personalized recommendations."
Jose Antonio Linde
COO of Condisline"Throughout all these years of collaboration, we have closely witnessed the growth and evolution of the Pleasepoint platform. With predictive marketing, our results were very satisfactory. With one-to-one personalization, we have been able to enrich the information and design individual actions and offers. As a result, we are achieving greater customer retention and loyalty."
Alberto Elizondo
Digital Transformation at Real Sociedad"Working with Pleasepoint allows us to discover new customer purchasing behaviors, refine the implementation of campaigns based on their shopping journeys, and anticipate customer needs. Thanks to all this, we are improving personalization and enhancing the performance of our campaigns."
Belén Pérez Benavente
Customer Knowledge and Loyalty Manager at Norauto Spain"Pleasepoint has enabled us to take a leap in the analysis and segmentation of our customer base. Thanks to its personalization and predictive capabilities, we can now design more precise and efficient CRM campaigns based on purchasing behavior, optimizing our results, allowing us to innovate and add value."
Manuel Caamaño De Melo
Data Scientist at Norauto Spain"Thanks to Pleasepoint, our digital library is not only more intuitive and efficient, but also allows users to access relevant legal content with unparalleled speed and precision. This has transformed the way our clients interact with legal resources, offering a service that adapts to their needs almost naturally."
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