Data and Digital Marketing Analytics

CA-1 Data and Digital Marketing Analytics Blog Essay  Student Name: Shubham Mehta Student Number:  10525659 Subject Code:  B9DM105 Lecturer Name: Naomi Kendal

GA can answer many questions related to your blog or website, such as: Total users visit your blog or website. Demographics (Age, Gender). Geo (Country, Region) Source of traffic (Channels). If you need mobile-friendly website or not. How are users performing on your website page? How can you improve your website? Which blog content visitors liked the most? Time, they spend on your blog page. In this post I will share my GA insights for the last 5 blog post on my blog from Jan.26.2020 to Feb.24 . 2020. Audience Overview                                 In this section you can see the number of total users I had in a month and how many people returned to my blog along with number of sessions they completed and other metrics. GA can breakdown your audience into demographic (Age, Gender), Geo...

We hear one term constantly when we talk about Big Data and that is  Data   Volume . Size does matter and in every phase of life, but when we talk about big data, there are several other attributes attached to it i.e.  Data   Velocity and Data Variety  (Russom, 2011) .  Data Volume: In today’s time when we talk about big data, we refer to a large number of data sets companies are storing and processing to forecast the demand. If we talk further and ask what the size of this data is? the answer will be around exabytes (1 million TB) or petabytes (1,000 TB) (Reca, 2018). With this amount of data comes a bigger problem of storing and processing, which can cost a lot if a company goes traditionally. But don’t be heartbroken as there are many cloud options available in the market for data warehousing and one of the most famous is Amazon Redshift (Reca, 2018).      Data Velocity: Big data flows into a company’s databa...

AI and marketers have finally joined hands and working together on digital marketing strategies and saving a lot of time and money for marketers and companies. With the help of machine learning and big data analytics, marketers can use this revolutionary technology to  gain insights into their target audience (Hall, 2019). Here are some key areas where AI supporting Digital Marketing for good.             Digital Advertisement:  It would have been very difficult for digital advertisers to bring their advertisement in front of their targeted audience without the help of AI. With the help of an algorithm and big data, your ads are placed in front of the right audience, which also helps in optimizing your ROI (Hall, 2019).  AI for Content Marketing:  As per content marketing strategy, 48% of marketers focus on creating YouTube videos for their CMS and 40% of millennials trust video content(Serpwatch, 2019). AI-powered to...

                                                                                                   (Godfrey, 2015) Companies are collecting a huge amount of customer data to make marketing strategies, predict consumer buying behavior, map customer journey and so on. This type of data can be very helpful for marketers in designing campaigns, understand their customers and target audience. IoT and artificial intelligence are some critical tools for capturing data for companies(Uzialko, 2018). But there are many challenges attach to the customer data collection which we will discuss further in this post.  But first, let’s understand what customer data is and how it can help marketers in making data driver marketing strategie...

Collecting data from various channels and storing in big data lakes and warehouses is one thing and mining the useful data and making it right for your company’s decision-making process is another.    “What you want and what you need is to turn that data into a story”(Hammond, 2013).   As per Ben Rossi, the other V’s in big data can be taken into consideration and can derive what value these big data V’s can deliver in solving your business problem (Rossi, 2015).   Volume-Value : Larger customer data (recent and historic), greater insights and better business decisions.    Velocity-Value : The amount of data coming in through various sources is lightning fast and faster analytics of this high-velocity data can give more time to companies in making business decisions.    Variety-Value : Different variety of customer data can help companies in mapping different customer journeys and personalize the overall customer experience. ...