3 ways to get the most out of your customer data:
Posted: Thu Dec 26, 2024 7:10 am
Use smart marketing
Data helps you understand your customers, their purchasing history, preferences, and the motivations behind their purchasing decisions. This information can be used to segment your audience into different target groups to create personalized emails that will persuade your customers to buy products they are most likely to like.
Leroy Merlin, for example, collects customer data through an online questionnaire, after which it issues a loyalty card. We wrote about this in more detail in our case.
Online registration form for the Leroy Merlin loyalty program
You can also encourage them to return to products they previously viewed. Here are some actions you can take:
Retargeting advertising of products in social networks or malta phone number library search engines.
Sending email campaigns that will encourage a customer who has abandoned their cart to return to complete their purchase.
Creating special offers on the website for categories in which the client is interested.
It is also important to understand the purchasing channels that bring the most value to the buyer, which can be clearly identified through data analysis. Do buyers like to make purchases through social networks? If so, you can optimize your social media content, add ads and various promotions to inform subscribers about the latest products and available discounts.
Anticipate your customers' needs
You can predict future customer needs by using data to pinpoint when customers in certain categories will buy. These kinds of forecasts give retailers a lot of information about what will be on sale, for example.
Let's imagine a situation where a consumer buys several items of clothing for a baby, the seller already knows that the customer's priorities will be diapers, toys and formula, and it will also be possible to create an advertising campaign with products for babies. Customer basket data predicts the needs and desires of consumers, allowing you to meet their needs. This increases revenue and increases brand loyalty on the part of the buyer.
Personalize recommendations
Epsilon Research found that 80% of shoppers are more likely to choose a brand that offers a personalized experience. Using customer data, you can create personalized recommendations and emails to improve the customer experience.
Personalization can include a variety of things, from a unique website home page that features only the categories and promotions that are relevant to an individual shopper to personalized emails . This makes it easier for customers to find and increases their interest in specific products. When shoppers are presented with products that match their purchase history or preferences, they are more likely to make a purchase and return to that particular retailer to shop again.
Data helps you understand your customers, their purchasing history, preferences, and the motivations behind their purchasing decisions. This information can be used to segment your audience into different target groups to create personalized emails that will persuade your customers to buy products they are most likely to like.
Leroy Merlin, for example, collects customer data through an online questionnaire, after which it issues a loyalty card. We wrote about this in more detail in our case.
Online registration form for the Leroy Merlin loyalty program
You can also encourage them to return to products they previously viewed. Here are some actions you can take:
Retargeting advertising of products in social networks or malta phone number library search engines.
Sending email campaigns that will encourage a customer who has abandoned their cart to return to complete their purchase.
Creating special offers on the website for categories in which the client is interested.
It is also important to understand the purchasing channels that bring the most value to the buyer, which can be clearly identified through data analysis. Do buyers like to make purchases through social networks? If so, you can optimize your social media content, add ads and various promotions to inform subscribers about the latest products and available discounts.
Anticipate your customers' needs
You can predict future customer needs by using data to pinpoint when customers in certain categories will buy. These kinds of forecasts give retailers a lot of information about what will be on sale, for example.
Let's imagine a situation where a consumer buys several items of clothing for a baby, the seller already knows that the customer's priorities will be diapers, toys and formula, and it will also be possible to create an advertising campaign with products for babies. Customer basket data predicts the needs and desires of consumers, allowing you to meet their needs. This increases revenue and increases brand loyalty on the part of the buyer.
Personalize recommendations
Epsilon Research found that 80% of shoppers are more likely to choose a brand that offers a personalized experience. Using customer data, you can create personalized recommendations and emails to improve the customer experience.
Personalization can include a variety of things, from a unique website home page that features only the categories and promotions that are relevant to an individual shopper to personalized emails . This makes it easier for customers to find and increases their interest in specific products. When shoppers are presented with products that match their purchase history or preferences, they are more likely to make a purchase and return to that particular retailer to shop again.