Right now you have already understand the difference among A, B, C and D type of customer. What we want to do actually is to focus our resources finding more a type of customer, I'm going to show you a simple framework that help you do so. I am really excited to show you this awesome customers snapshot framework. And I have already prepared to set our framework This one is B to C, and it has another one on b2b. So in by using this awesome customer snapshot framework, you can further analyze and understand your a tight customer far better. Right, let me show you how you can work on this.

This framework is divided into a few parts. First of all, let's fill in the demographic of your customer who are your target customer if you pick from your database based on your name, gender, age, location, your estimated income and your family status. You may not need to have a specific answer to fill in just based on your best judgment. What do you think your customer in terms of this category will be? Right after that? Let's look at the psychographic of your customer meaning that what they do example that what type of activity to your customer join what Association do they get involved what kind of what kind of buying behavior, what brand today particularly and joy and follow what event?

Do they go their hobby public figure and what public publication meaning what book they read and whatnot. So based on this data analysis, how do you best describe your awesome customer? How do they really really look like if you further went ahead and analyze based on a few of your customer the awesome customer, I bet you will be able to find certain similarity on your awesome customer. Type customer. Similarly, if you are in the b2b business, we also look into the same demographic based on the company name, the company size industry, where are they located? What is their annual revenue growth look like on the B and D are psychographic based on the activity Association, business model, their company culture, core value and whatnot.

So, similarly, go ahead and analyze, pick a field a type customer of yours and do this simple analysis and understand them better. And later, we're going to use this data on our marketing campaign.