The Blog of Isela Torres

Name: Isela Irais Torres Gonzalez Student number: 10524020. 

For the next analytics analysis, we are considering a time frame between January 20th and February 23rd.  In the audience section, we can see that 47 users had a total of 109 sessions during this time frame, each user got an average of 2.32 sessions, viewing 257 pages, 2.36 pages per session each user, on an average session duration of 1:38 minutes.  January 20th was the day with more active users during the overall time frame with 10 users active on the website.  The main language people who come to my blog speak in English.  Most of the people come from Ireland, being 93.75% of users, followed by India with 4.17% and France with 2.08%.  82.98% of the users used Chrome as their browser.  80.95% of my audience used Android as their operating system, whereas just 19.05% of users used iOS.  The new visitors corresponds to 60.26% of the total users, whereas the returning visitor represents 39.74% with a bou...

Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. (Rousse, 2019).  Nowadays, AI is used in many fields, such as healthcare, education, finance, law, and manufacturing, but we are going to focus on how Marketing is using AI.  AI in marketing is the use of customer data, machine learning, and other computational concepts to predict a person's action or inaction. (Grimms, 2019).  It is important for digital marketers because artificial intelligence will allow analyzing big amounts of data from different platforms, such as social media platforms, emails and web activity in a very short period of time, thus, enhancing campaign performance and overall return on investment (ROI).  According to Dave Chaffey, AI is broken down into 3 different types of technology; machine learning; which uses algorithms to learn from historical data sets that can create propensity models, applied propensity models;...

Customer data is defined as the information your customers provide while interacting with your business via your website, mobile applications, surveys, social media, marketing campaigns, and other online and offline avenues. (Deshpande, 2019).  Years ago, marketers would just target mass audiences with advertisements all around the city or on the TV. Of course, this represents big expenditures on marketing and very poor KPI metrics to monitor the effectiveness of the marketing campaigns.  Nowadays, marketers have access to a big amount of customer data but, why is customer data important for marketing? One of the benefits of customer data is that, and thanks to a single customer view database, we can know better target our customers. Segmenting customers is not only good for ensuring that the correct person receives the most appropriate message, but it is also far more cost-effective than a "one message fits all" approach to direct marketing. (Botibol, 2018). Hence, our...

Value in Big Data for Marketing One of the most important things in marketing is "getting to know your customer", and know with Big Data the possibility of knowing your targeted audience is more possible than we ever imagined.  As we have talked in previous classes about the importance of human insight in Big Data for better business decisions, we can't assume the opposite of marketing decisions in order to create successful marketing campaigns.  Even though we have all the information available to target adequately to potential customers and moreover, it will save a lot of money of trial and error to finally discover the perfect target audience for your product or brand, us marketers have to make sense of all the information gathered and discover the motivation behind the purchase to lead the customer to connect with the brand or product.  Mentionlytics show us several companies using big data for different marketing purposes, for example; Coca-cola is usi...

3V's of Big Data Nowadays, businesses are reaching a point where they are handling lots and lots of data, once they have high volumes of data, at a very rapid velocity and besides, with a huge variety of information, they can say they are working with Big Data.  In this article, I will explain what each V's of Big Data consists of.  According to Whishwork, the volume consists of the amount of data generated online, it encompasses the available data that are out there and need to be assessed of relevance. FlyData states that to classify a high volume of data it needs to be above exabytes (1 million TB) or petabytes (1,000 TB). An example of the volume is the amount of data each social media user generates by their constant activity.  Velocity refers to the speed with which data is being generated. For example, all the videos that are being uploaded to YouTube each minute. According to FlyData, once you have a high velocity of information sooner than later you will...