When collecting customer profiles, we usually use spy tools from Google and Facebook. Apart from the ads library, there are also many other spy tools. We use the Facebook spy tools to see the material and copy of competing products. Google’s spy tool for monitoring keywords and displaying advertising material.
In this article, we will introduce 5 easy ways to target your ideal customer. And help you get more and more accurate in customer profiles.
Third-party SEO tools
You can use some common third-party SEO tools, such as SEMrush, ahrefs, similarweb, etc. For example, the free version of similarweb can show a general age profile of customers and some categories of interest. But this is only for reference. In addition, SEMrush’s paid function also allows you to see some basic information about the gender and age of customers.
You can also go to Quora, Reddit, and other corresponding boards. You will find customers’ main discussion of some common problems in the process of using the product there, especially for products with high sales. It’s a good way to discover user pain points, QA/FAQs, and so on.
Analysis of Facebook groups / Facebook pages
You can see some details of customers’ age, gender, and main area.
Interest words in Facebook Ads Manager & Facebook interest mining tools
We can only see about 25 niche words in the ads manager now. So, there is a need for some Facebook interest mining tools to find out more niche interest words. These tools usually obtain data through API interfacing.
Google Analytics allows you to see a lot of very detailed data. For example, the customer’s age, gender, affinity interests, and In market. These interest terms are a good reference for placing Google display ads, Facebook ads, etc. You can also see the location of the customer, the devices they use, etc.
However, it is important to note whether there is a big difference between the GA data of converted customers and the GA data of the whole site. Because only the customers who place orders to buy your products are considered the core customers of the product.
According to the current conversion rate of about 1-2%, a large proportion of customers look at the website and then leave without taking the next step. So, it’s best to take a look at the GA data area that has been converted. Orange represents customers that have been converted and blue represents customer data for the whole site.
In addition, the customer’s browser, network, device, etc. can be seen on GA. GA is a great channel for analyzing the audience of a website. If you have your own Google account manager, you can also ask if they can help with customer profiling in some categories.
In addition to age, interests, etc., you can also see some of the YouTube videos or channels that customers frequently visit. This gives us a good basis for placing video ads or finding the right KOLs to reach your customers.
Online research tools (Survey Monkey & Typeform)
The research data focuses on the age, gender, occupation, education, income, and region of the customer. And followed by hobbies, media-using habits, product usage scenarios, customer experience, and recommendations.
The customer’s media-using habits are very important. We can ask the customer to fill in a detailed YouTube channel or media account list. This will give us a good basis for how to reach these people in our subsequent marketing.
With online research tools, there are also 2 types of situations.
When a brand has a certain number of subscribed customers, then it can use the above tool to generate research questions. And invite their customers to fill out the form via EDM or email.
But if the brand is brand new, then you can also pay to do research directly on the platform. The more detailed the conditions set, the higher the relative cost. Because the more detailed the conditions are, the narrower the group of people who meet the target. You can also do 2 research questionnaires, one for customers who have already bought, and the other for new customers. Comparing the result of the two questionnaires to see if there is any big difference.
There are many other ways to get your customer profile. The comprehensive analysis of data from all dimensions will help you find the right product positioning. And also audience positioning. All good for the subsequent construction of the website shop and material of marketing.
It’s worth the time and effort to do customer research during the product exploration period.