Data analytics help companies by analyzing large amounts of raw data with an aim to uncover trends, patterns, and correlations that can result in actionable insights. These insights allow companies to make data-driven decisions, thereby promoting business growth. 

Potential Applications: Data Driven Decision Making, Business Insights

Customer segmentation is the process of dividing the customer base into different sub-groups based on some type of shared characteristics.  The aim is to identify high yield segments that are likely to be the most profitable, or have the highest growth potential, so that these can be targeted with special marketing.

Potential Applications: Ad targeting, User Engagement, Targeted Messaging

Targeted marketing uses machine learning models to personalize and tailor online advertising intended for specific customer segments. Targeted marketing allows online businesses to attract promising leads, and increase customer loyalty.  

Potential Applications: User Engagement, Ad Revenue, Increased Sales

A/B testing allows business to compare the performance of two competing strategies using statistically sound methodologies. Through A/B tests business can identify factors that lead of increase in user engagements, decrease bounce rates, increase conversion rates, and minimize risks. A/B testing is one of the primary pillars of Data driven business decision making. 

Potential Applications: Data Driven Decision Making, Strategy Comparison