Creating segments based on specified criteria is one of the best strategies to target your consumer populations. These insights from Mortar Discover enable you to better understand the needs and desires of your clients and enable the Mortar team to create individualised and targeted marketing campaigns that yield greater results.

These people are cherished customers who frequently use a particular good or service. They show a great propensity to stick with the brand because of their unshakeable commitment, which makes it far less likely that they will switch to a competing product. Repeated interactions and transactions between them and the business show a strong sense of satisfaction and faith in the services provided, which helps to establish a long-lasting relationship between the clients and the company. This unwavering loyalty not only strengthens the consumer's reliance on the brand but also acts as a defense against the temptation of rivals.

The graphs below will display data on all customers connected to the selected customer category when the toggle labelled "Total customers" is turned on.

When the toggle labelled "Based on marketing preference" is turned on, the information presented will be categorised according to customers' marketing preferences. This categorisation is determined by whether customers have consented to receive emails or not. Customers who have agreed to receive emails will fall under the "yes" category, those who have declined will fall under the "no" category, and those who have not indicated their preference will be classified as "unknown."

The data presented is derived from a diverse range of sources, encompassing materials you have uploaded and various platforms that have been linked to the system. This compilation of information has contributed to the comprehensive insights and knowledge presented here.

The provided data includes information from customers who have shared their location details in their profiles, forming a subset of the total customer count. This subset offers insights into the geographic distribution of a significant portion of the customer base, aiding in understanding the spread and concentration of locations among customers who have voluntarily shared this information.

The provided illustration depicts a visual representation highlighting the five most extensively produced items based on their quantity / revenue generated during a designated span of time.

This shows data of the customers who have provided location information in their profile out of a total no of customers. This shows the customers who have provided location information in their profile out of the total number of customers. It gives you an idea of the location distribution of the customers whose data is available.

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