LONDON--(BUSINESS WIRE)--Quantzig, a leading analytics advisory firm that delivers customized analytics solutions, has announced the completion of its new article that offers detailed insight on look-alike modeling and its role in improving marketing outcomes.
Look alike models can drive profitable growth by helping you find potential prospects. Request a FREE proof of concept to get started.
To sustain a leading-edge and gain a front-line advantage its crucial to acquire new customers. At the same time, it's difficult to focus your time and resources in the right direction. Since this is what matters in bringing about a huge change, you must identify these audiences before your competitors do. And the key to do so lies in analyzing your customer data to find similar prospects with a high probability of conversion. Quantzig’s look alike modeling solutions extend your reach by helping you find and target the right customer segments similar to your existing customer base. Advanced look alike modeling algorithms developed by our experts leverage machine learning and natural language processing to analyze customer traits and behavioral patterns. Businesses can use these insights to build accurate models and expand their customer base.
Extend your reach beyond your existing customers and discover new, high-potential audiences from third-party data sets using advanced look alike models. Get in touch with our analytics experts to know more.
Steps to Build a Lookalike Model
Look alike data modeling is pretty simple, provided you have the datasets and analytics capabilities to analyze your data. Businesses today have their ideal customer traits that are often used to gauge customer value. Often, it’s someone who has purchased or shown interest in the company’s products and services. But its always not easy to find the right person or audience. And when you finally find them, you want to nurture and maintain the relationship for as long as possible, to retain and upsell your customers and improve loyalty. Following these steps can help you advanced look alike model.
Step 1: Integrate customer datasets
Step 2: Define customer attributes
Step 3: Build the look alike audience database
Don’t spend time predicting traits or analyzing segments, or managing a large set of static rules, our advanced look alike modeling algorithms will find audiences for you. Request a free demo to learn how it works.
About Quantzig
Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit: https://www.quantzig.com/request-for-proposal
