RETAIL: CRM TO KNOW WHAT YOUR CUSTOMERS ARE ASKING OF

In a digital world full of multichannel interactions with customers, dynamic pricing, social media promotions, etc, salesforce retail solutions allow physical and electronic retailers to work on strategies and customer relations based on trust and customization. Salesforce CRM for retail, especially in a new scenario without cookies and with the need for first party data, will be key for taking customer relationships to the next level, Customer Experience 4.0.

More than 300 billion emails are sent every day worldwide. Clearly among all this noise the benefits of a CRM for retail can be wasted by sending emails with general promotions to a large list of unqualified contacts.

Brands and retailers must reorient their digital marketing efforts towards a new approach based on data driven knowledge of each consumer. The great challenge is to offer them what they want and foresee what they might need. To do so it is essential to extract intelligence from data to know when, and through which channel to contact customers, how to interact and what kind of personalized content and offers they want to receive.

After 25 years as a main source of information for companies, cookies are going to disappear, but at S4G Consulting we believe that thanks to Salesforce, retail companies can turn this challenge into a great opportunity. With the right digital solutions it’s possible to redefine digital marketing strategies, prioritize access to first-hand data and interact in a more 1:1, honest way with consumers.

At S4G we have the trust of numerous companies in the retail sector in successful projects with industry leaders such as Markennovy, Óptica Universitaria, Distrivet, IskayPet, fashion companies and supermarket chains. Thanks to the implementation of Salesforce solutions, such as Sales Cloud, Service Cloud or Marketing Cloud, these companies have been able to place the consumer at the center of the strategy, driving interactions through social networks, and ultimately apply data-driven intelligence to analyze and predict the products that their audience demands.