If you want to know how to benefit your company from customer profiling, read this article and learn!
How Can a Company Benefit from Customer Profiling?
If you’re interested in understanding your customers to their core, and discovered marketing opportunities in the process, you should read this. With the introduction of technology such as mobile devices, video customer service, online communities, social media platforms, and others, the number of contact points with which consumers might communicate has increased, making the work of gathering data from these interactions more challenging. A Customer Data Platform performs the aforementioned tasks, allowing a company to build a comprehensive profile of their customer. Then, marketing systems access these profiles. Above all, the better you are at categorizing and analyzing your customer’s data, the better your understanding of the customer will be.
That’s why we recommend using the data categorization platform Klazify.
Klazify is a website categorization API that can perform many tasks:
- It can classify web pages into 350+ categories, using whichever of the 3 category structures you prefer.
- All the social media channels and logos of a domain are collected updated in real-time.
- It scan’s a website’s content and meta tags. Natural Language Processing is used to scan the website’s text. This is what it uses to classify the site.
This means that you can use the powerful classification tool to assign categories to all of your customer’s emails (the ones that have a company/custom domain). As a result, you’ll understand better what your customers are using your tool for, and might even discover a niche you didn’t even know about. The possibilities are endless!
How does Klazify work?
First, you insert a custom company email domain (not @gmail, or @hotmail). Then, they check if that same domain exists online. After that, they analyze that page and classify the company’s website into any of the 385+ topic categories. This software employs Natural Language Processing (NLP) and a Machine Learning Engine. Using the IAB V2 standard, it analyzes webpage text and categorizes it into 385+ potential topic categories. Because their APIs are real-time, you’ll always have access to the most recent social network links. The API response’s JSON, Python, and PHP Curl format makes it straightforward for developers.
Also published on Medium.