Customer Persona

How well do you know your customers? Probably not as well as you should. One of the biggest mistakes marketers, product teams, and designers make is making a lot of assumptions about their customers instead of just getting to know them. So let's meet your Customer Persona.

Definitions

Before you dive into data analysis, let's ensure that we are on the same page.

Customer Persona shows you the most important metrics about your most-likely customer, which is defined by the median, to get the median rank of your customers per metric, e.g. based on their order quantity. Ultimately, you will identify the 50% percentile also known as the median.

The report reveals the following information about your most-likely customer:

Customer	Most frequent first name, last name, and age among your customers; exclusively available for custom integrations.
Gender	Most frequent gender among your customers; exclusively available for custom integrations.
Country	Most frequent shipping country among your customers
City	Most frequent shipping city among your customers
Orders	Median of all your customers' order quantity
LTV	Median of all your customers' lifetime value
AOV	Median of all your customers' average order value
Gross Margin	Median of all your customers' gross margin
Product Return Rate	Median of all your customers' product return rate; exclusively available for custom integrations,  , and .
Customer Lifetime	Median of all your customers' lifetime
Days Since Last Order	Median number of days since the last order of your customers

Use Cases

If you want to make sure that you spend your time and money right, you should use these insights to establish basic targeting:

• Establish your most-likely customer as a buyer persona
• Develop a deeper understanding of customer needs and how to solve them
• Recalibrate and reassess your customer approach and communication design
• Lead product development by creating features that help them achieve the desired results
• Create alignment across the organization and bring other teams together around a customer-centric vision
• Identify marketing channels where you can address similar customers to your customer persona
• Create segments to replicate these insights and integrate them with Facebook Ads to target your next marketing campaign

What You Need

For this report to work properly, the following data must be imported:

• Order ID
• Order Date
• Stock Keeping Unit (SKU)
• Items Sold
• Item Price
• Customer ID
• Customer First Name
• Customer Last Name
• Customer Gender
• Discounts
• Product Returns
• Product Return Dates
• VAT
• Shipping Revenue
• Shipping Country
• Shipping City
• Cost of Goods Sold

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