Hyper personalization and data intelligence for better sales

Technology has enabled a transformation in the relationship between companies and consumers which was never seen before. Considering this scenario, Data Intelligence plays a central role in all the changes that have happened and those to come.

Through data intelligence, companies are able to collect and process customer information. This enables you to customize the shopping experience, increasing customer satisfaction and resulting in more sales.

Nowadays, however, the processing capacity has become so large that companies need to focus on a new process: hyper-personalization. But what does it mean? Read on and learn more below!


Hyper-personalization consists in providing a highly targeted, engaging and unique customer service. All from the information raised through data intelligence.

This enables you to use customer’s brand awareness and apply the appropriate communication and processing tools to achieve the hyper-personalization level.

Then, by using the right tools, brands can develop a fully personalized service to consumer needs. See key benefits:

  • Identifying consumer preference channel;
  • Using most appropriate language to the client’s characteristics;
  • Demonstrating how the product or service can help customer solving his problems.

But hyper-personalization should not stop here. The strategy continues after sales by offering differentiated support that can keep the customer active. This is a way of building a customer relationship focusing on loyalty and retention.


The entire hyper-personalization process is only viable if the company invests in data intelligence and strategies for using information. Currently, we already have resources able to provide hyper-personalization.

After all, companies are able to collect customer information at every stage of the buying journey, from initial contact to after-sales.

Such data is important to improve the service and relationship quality, making it more efficient. It is even possible to analyze the particularities of each client, resulting in the expected customization.


New behaviors and trends can be already personalized for each customer. They want the company to be able to identify their preferences and make more assertive approaches. In addition, customers expect to have more appropriate suggestions to their interests.

Thus, the lack of personalization causes inappropriate approaches, harms the experience and generates consumer dissatisfaction. Which brings losses to business results.


Omnichannel communication is also important for delivering hyper-personalized customer service and customer satisfaction. But how does this strategy work?

Omnichannel is the integration of the different service channels offered by the company and provides a fluid experience between them. This way, the customer can initiate contact through one channel and continue the conversation through another channel without affecting the experience.

In addition, Data Intelligence used in omnichannel makes easier to identify customers’ preferred channels. It allows to increase personalization, customer satisfaction and sales.

OlosChannel is Olos’ omnichannel platform, which uses Data Intelligence in order to enhance customer experience. Thus, it is possible to identify, from customer’s history, which is the best channel to approach him or her.

The tool also allows you to integrate solutions and use automated service channels such as chatbot and digital agents. These features also use Data Intelligence to improve and provide the best service as possible.

To better understand how it works, visit our website and schedule a demo visit.

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