Data analysis or Big Data allows companies to know what the next step is to take. They gain a thorough understanding of the market to make wise and secure decisions by learning consumption trends and correlations. At Why Do Companies Use The Website Data Analysis API? we will tell you about 5 companies that have used Big Data and why to be the best in their market area. In addition, we will share Site Traffic API; a tool that will allow you to obtain all the information you need.
5 companies that use Big Data and have achieved the best results
Amazon
One of the industry’s titans in online shopping is Amazon. When a customer contacts customer service with a request or question, the agent who responds already has all the customer’s data on his screen; including the products the customer is looking for, the products he has already purchased, the time of day, etc. Simply put, they have the authority to learn about your financial habits.
Amazon is the king of eCommerce because it has adopted cutting-edge technology to collect; analyze and use the massive amount of data they have access to from a person’s search and purchase history. Therefore, they are the best in topics such as supply chain optimization, price optimization, and fraud detection.
Two of its most advanced tools for data analysis are its advertising algorithms and its; “Amazon Elastic MapReduce platform for machine learning” which allows them to provide its customers with the products they are looking for and needs; faster and cheaper than any of its competitors.
All this was reflected in sales growth of 20%, that is, approximately 8 billion dollars.
Netflix
With approximately 100 million users, Netflix data analysts collect and analyze huge amounts of data related to user behavior; the genres they search for; the number of episodes they watch the duration required to select a show to watch, etc.
Thus, Netflix is not only capable of predicting what a person wants to see but also what type of series or movies it should produce and which actors are best received depending on the public. For example, Adam Sandler turned out to be very unpopular in the US and UK film markets; but Netflix signed four new movies with him in 2015; in support of the fact that his earlier work had achieved great success in Latin America.
But data analysis at Netflix is not something new. In fact, since it was a physical mail-order DVD service; one of the platform’s priorities was to collect data to build a recommendation system.
After the launch of their online streaming platform in 2007, it took them 6 years to collect the necessary data to produce their own successful series: House of cards. They considered both customer behavior and the mobility of movie piracy websites while making this decision.
All of this work paid off, and the company was recognized for having the finest algorithm for predicting, based on historical data, what material people would be interested in.
Why Do Companies Use The Website Data Analysis API?
Apple
Thanks to data analysis, Apple has managed to position itself not only as the best technology company but as one with the most FAITHFUL customers around the world.
Thanks to the wide range of applications they have launched for banking, insurance, travel, and entertainment and the launch of wearable devices such as the iWatch, Apple is collecting more customer data than ever. As a result, the experience is becoming increasingly individualized and users are unable to live without their Apple gadgets.
Coke
The Coca-Cola Company is the biggest beverage company in the world, selling more than 500 different soft drink brands in more than 200 different nations. Every day more than 1.9 billion Coca-Cola products are consumed in the world, it would be the same as stating that 33% of the world population consumes Coca-Cola products in one day.
Analyzing data has been used in fields like product development. One recent example is the introduction of the “Cherry Sprite” flavor, which was inspired by data gathered from soda dispensers that let customers mix their own drinks. Thus, Coca-Cola was able to identify the most popular mix and turn it into a ready-to-drink beverage.
In addition, Coca-Cola also collects and analyzes the data generated by its 105 million followers on Facebook and 35 million on Twitter, platforms in which they produce interactions about their products approximately every 2 seconds. With such a broad base of interactions and impressions, the company can get a clear picture of how its products are perceived in different countries, what kind of people consume them, where, under what circumstances, and how loyal they are to the product.
These are just a few practical examples of how Coca-Cola has become the soft drink giant thanks to data analysis. This, mixed with artificial intelligence (AI), has led them to improve everything from their bottling plants to the operation of their vending machines.
Starbucks
Have you ever questioned how Starbucks manages to open five locations within three miles of one another and keep them all occupied? Big Data is used by this coffee company to assess the likelihood of each new store they intend to open being a success. They collect information about location, traffic, demographics, and consumer behaviors.
Doing this type of assessment before opening a store means that Starbucks can make a fairly accurate estimate of what the success rate will be and choose locations based on the inclination to revenue growth.
Check Site Traffic API
So, with Site Traffic API you will be able to consult from where the site receives its traffic. It means you can check where the visitors are (per country); how many monthly visits they receive, and traffic sources (direct, social media, emails, etc). This API will allow you to order your database by the conditions you decide. Do you want to know which URLs receive the most traffic? Or do you want to know the pages that have the highest bounce rate? What are the URLs that make your users stay longer?
Thus, you can use this API to measure the performance of your own page. You can see the behavior of users and make decisions based on the metrics received. Retrieve Search Engines Rankings and Pages’ net worth as well.
What your API receives and what your API provides (input/output)?
Only pass the URL or domain you want to consult. And you will get traffic per country, monthly visits; engagement metrics such as average visit duration, bounce rate, pages per visit, and traffic sources. They are receiving their users from web searches? Do they receive the most traffic through paid advertising? This API will let you know that.
Want to learn more about Site Traffic API?
For additional information on how to take advantage of the Site Traffic API, go to the FAQ on Site Traffic or check to Use This Site Traffic API To Measure The Performance Of Your Site