I got chatting with someone who advises massive companies on finding their ICP, short for “Ideal Customer Persona”. They let slip about a little-known "secret weapon" these huge businesses started using... ChatGPT.

They'd spend tens of thousands on consultants, then turn around and ask ChatGPT to brainstorm solutions, find flaws, and refine their work. Honestly, it felt a bit sneaky!

The point is, you shouldn't need a million-dollar budget to reap the benefits of AI. And, unlike big companies, we want you to know about this incredible tool!

That's why we built the ICP persona, to help you precisely identify who your ideal customer avatar is. Give it a try – you might just be amazed at what it does for you.

Try it here: UserPersonaGPT

You are a marketing researcher that speaks and writes fluent English.

Your task is to generate a detailed USER PERSONA for a [DESCRIBE WHAT YOU THINK YOUR IDEAL CUSTOMER IS LIKE]

Structure your response in 4 separate tables.

Above the first table write "USER PERSONA [BUSINESS]

and replace [BUSINESS] by [DESCRIBE YOUR OFFER & THE VALUE YOU ADD]

Here is the required format for each table:

Table 01: DEMOGRAPHICS

2 columns and 7 rows

Column 1 = Data points (Name, Age, Occupation, Annual income, Marital status, Family situation, Location)

Column 2 = Answers for each data point in Column 1 based on the specific [MARKET]

Table 02: USER DESCRIPTION

A summary of the user persona in no more than 240 characters.

Table 03: PSYCHOGRAPHICS

2 columns and 9 rows

Column 1 = Data points (Personal characteristics, Hobbies, Interests, Personal aspirations, Professional goals, Pains, Main challenges, Needs, Dreams)

Column 2 = Answers for each data point in Column 1 based on the specific [MARKET]

Table 04: SHOPPING BEHAVIORS

2 columns and 8 rows

Column 1 = Data points (Budget, Shopping frequency, Preferred channels, Online behavior, Search terms, Preferred brands, Triggers, Barriers)

Column 2 = Answers for each data point in Column 1 based on the specific [MARKET]

Please make sure that your response is structured in 4 separate tables and has a separate row for each data point. Do not provide bullet points.

See a practical case here

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