ANALYTICS AND PREDICTIVE How companies are using To target customers BEHAVIOR ASSESSMENT
These days several companies are using predictive analysis to foresee what their customers need. They do so by analyzing the past behaviors of the customers . Here we will see how sites like Netflix, Pandora, OkCupid, and Twitter offer recommendations for other products and services.
In this presentation we will take a look at these 5 companies that are driven by analytics and see how the customers benefit and use predictive analysis for ease.
AMAZON WHAT DO THEY TRACK? HOW DO THEY USE THE DATA? They use these data for making future product recommendations • The past purchases of customers • Things customers liked and rated • The items in customer’s virtual shopping carts • The purchases of customers compared to similar purchases made by other customers
Total no. of active Amazon users: 89+ Million
NETFLIX What do they track? How do they use the data? To offer additional TV show and genre recommendations, and also produce additional movies based on user views. • The ratings offered by users on movies and television series
Total no. of streaming Netflix users: 36.6 Million
OKCUPID What do they track? How do they use the data? Generating matches of increased percentage with other single compatible as per these data • User’s answer to personal questions • Ratings by users of each other • The keywords in personal profiles
Total no. of unique monthly OkCupid users: 7.3 Million
PANDORA What do they track? How do they use the data? For providing with new music recommendations • The ratings of users for individual songs, genres and artists.
Total no. of active Pandora users: 70+ Million
TWITTER What do they track? How do they use the data? For making new connection recommendations. • Number of users connections • The websites users visit (if such websites have tweet or follow buttons installed on them).
Total no. of active Twitter users: 200+ Million
With recommendations recognized through effective predictive analysis, these companies are offering their customers the ability to uptake the brand experiences into their own hands. So, that they can make educated decisions and customizations as per their needs. With this level of enhanced personalization these brads are achieving higher customer retention and is also reinforces brand loyalty.
Each of these brands have millions of users everyday and the main reason behind their success is due to the fact that they can anticipate their customers’ needs and wants thus, eliminate all reasons to go anywhere.
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