Every company has a heterogeneous customer base, made up of customers who bought once, others who bought twice, others who are brand lovers, others who stopped buying and others who are your brand's main source of income.

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Not all the base can be treated equally. Identifying how it is made up and the importance of each customer group is important for developing short-, medium- and long-term strategies.

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The Data4Sales strategic analysis is a document where we provide you with an in-depth study of your company's transactional data. It is there where the most important information of your business resides.

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This analysis does not require a BI team, but is intended for eCommerce and marketing teams to act on it.

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By accessing this data you will be able to understand, among others:

• From which group of customers do your highest revenues come from
• What is the average ticket for each group
• How many customers do you have in each stage of the life cycle (prospects, inactive, one purchase, two purchases, frequent, reactivated)?
• What happens to active customers
• What happens in each segment (Champions, At Risk, Can't Lose, Loyal, Prospective, Occasional and Just Passing Through)

In addition, we will provide you with the most important insights to take into account in order to achieve your business objectives.

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The big goal is for you to build a solid customer base that will achieve sustainable growth in your business.

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Story mode:

Tomás loves Sweety, a brand of chocolates and candies that he sells online. For him, having something sweet in his drawer is almost a necessity.

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His brother, Sergio, buys two or three times a year from the brand, just to give Tomás gifts on special occasions, as he is well aware of his obsession.

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For Sweety, knowing the difference between these two types of customers is important. Customers like Tomás need to be identified, understand how they buy and treat them as valuable customers.

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For customers like Sergio, we don't have to invest as much money, however, we can think of strategies to motivate purchases on special occasions.

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We can know all this by understanding in depth what is happening with our customer base. How many customers like Tomás do we have? How many like Sergio? How do we do to have more customers like Tomás?