Data and Digital Marketing

A series of blogs about Big Data were published where the impact of the Data to the marketing strategy of the organizations was highlighted. In order to know whether the blogs are successful the traffic from the site from 19 th of January to 25 th of February 2020 was analyzed in Google Analytics. The reports will allow to see what is happening on the site, uncover trends, drill down into visitors’ demographics and behavior patterns to understand our audience better (Neilpatel, no date). Google Analytics is one of the best platforms for measuring blogs success. Below the main analytic reports which shows site performance and visitors engagements. Report #1: Real-time Real-time data helps in monitoring traffic and immediately reacting to content and promotion opportunities. Moreover, issues with referrer spam and bad URLs can be identified from this report. Report #2: Site Speed This report helps in monitoring overall performance of our site and keep page l...

Artificial Intelligence and Big Data technologies, along with Internet of Things, Blockchain, are playing a crucial role in transforming modern business operations. Most organizations leverage only 20% of their data effectively and leave the remaining 80% outside of the decision-making processes (Hackernoon, 2019). (Rahul Asthana, 2019) The data is growing exponentially stimulated by the IoT, churning out of the data by consumers and business. It does not matter whether the data is in multiple dimensions or one, structured or unstructured, fast or slow, if the data is massive organizations need apply new technologies to help manage it, understand data trends and derive actionable insights. In other words, collecting such massive data is only useful if it can be processed in right ways. This is where technologies like AI comes into play and helps in analysing, assisting in understanding the data properly, digging into the buying patterns deeper (Sinur, 2019). Here are th...

Many companies spend a huge amount of money on marketing. Collecting customer data should the most important thing in marketing strategy because without data the marketers can’t reach target audience or persona effectively. Valuable customer data helps to improve nearly every aspect of the company’s business (Minkara, 2014). But how exactly the companies can benefit from collecting consumer data? 1.     Data provides better customer segmentation Collecting and segmenting data allows companies to better identify the overall demographics and reuse marketing strategies for customers who share similar interests, therefore deliver more value straight away (Forbes, 2013). 2.     Data improves marketing strategies Collecting and analyzing data helps in much better understanding of the way the customers behave online and that helps to determine which of marketing campaigns are most preferable for the target audience, therefore the companie...

Marketers have a good opportunity to analyse a big amount of data which are available today. Data collected through websites traffic, emails, click-through rates, social media interactions and apps which helps marketers to understand the customer behaviour (Goldfein, 2019). Here are key use cases where Big data could have a substantial impact on marketing (Sas, no date): Customer engagement.  Big data can help companies to derive more meaningful insights about their customers, who they are, what they want, how and when they want to be contacted. Customer retention and loyalty. Big data companies can provide better understanding of customer loyalty to the brand and determine churn score, what and how affects the loyalty and why the customers want to come again or don’t. Marketing optimization/performance.  By analysing Big data companies can identify and calculate the spends through different multiple channels. Moreover, they can optimize marketing programs across te...

Many businesses are managing a huge amount of data collected through its various data and business processes. Sometimes these data is easy to handle and process with relational databases or well-known tools like excel. However, when data is being generated so quickly, in various non-well defined formats and can be changed in real-time it becomes impossible to manage those data lake and derive valuable insights, critical for businesses, it is time to start thinking of Big Data (Rouse, no date). There are the 3Vs (volume, variety and velocity) that are used to define dimensions of big data ( Whishworks, 2017) . Quora, no date 1.    Variety   Variety in Big Data mentions the structured and unstructured data which generated by humans and by machines. The structured data collected from pictures, videos, texts and tweets. However, unstructured data gathered from emails or voicemails, audio recording, hand-written text. Variety is the oppor...