Overview of Fibotalk

The practice of capturing data on a lead's behaviors when they land on your website, as well as a customer's interaction with your product, is known as event tracking. Event monitoring software interfaces with your website and product to capture visitor interaction and client involvement. On the other hand, most programs will intelligently monitor user behavior and chronologically organize their actions in a timeline to the proper database record. Regardless of whether the website is loading or not, every interaction can be recorded, categorized, and tagged in event tracking to gain a comprehensive picture of user behavior. In most cases, event tracking is used to track aspects of a website that are created using JavaScript, Flash, or Ajax.

Cohort analysis is an analytical approach that categorizes and splits data into groups with similar characteristics. This method is commonly used to help firms isolate, analyze, and uncover patterns in a user's lifetime, improve user retention, and better understand user behavior in a specific cohort. Customer cohort analysis is highly beneficial in marketing and business use cases. For example, analysts can determine whether or not the average customer's quality is improving across the customer lifetime by looking at patterns in cohort expenditure over time. The term for this procedure is "lifetime value cohort analysis."

Funnel analysis is a way of determining the steps required to accomplish a specific conclusion on a website, as well as the number of users who complete each stage. Because the standard shape visualizing users' flow is similar to a funnel in your kitchen or garage, the sequence of stages is referred to as a "funnel." For example, consider a hypothetical e-commerce company whose ultimate goal is to get visitors to make a purchase. Visiting the site, adding a product to the shopping basket, clicking to check out, and completing the purchase are required steps to purchase on our site. Objectives or micro conversions are other names for these processes.