Saurav Choudhury

   

In this final blog let us discuss the Analytics of my last 5 blog topic. Here we will discuss an overview of the last 6 weeks. AUDIENCE OVERVIEW On the above chat we can see that the number of users viewed the website was 24 and the number of times users visited the website is 89 which is called sessions. Thereafter, the number of times the users visited different pages on my website, which is termed as pageviews is 510 following with 06.52 average watch time on my website and a 32.58% bounce rate which means the users exiting the website immediately after visiting the site. ACQUISITION OVERVIEW The Acquisition overview gives us a clear overview of the overall traffic for the website. On the above chart we can see that most of the traffic came from social media which is 45.8% and the second most is 35.4% which came directly by sharing the URL. Surprisingly 14.6% came from referral which means users coming to my website form other website and 4.2% being organi...

Let us talk about AI in Marketing in this blog. Artificial Marketing is about optimising consumer data and AI like machine learning, is about enhancing and predicting the next move of the consumer and act accordingly to move down the sale funnel of customer buying journey (PricewaterhouseCoopers, “Consumer Intelligence Series.”. 2020) . With the use of Big Data and Analytics the marketers are able to build a clear target audience and map a better buyers journey. Marketers can also enhance/ boost and make changes to campaigns and measure the ROI. Well this a small overview of AI in Marketing but let us discuss a little further. Some of the core AI Marketing are: Big Data – As discussed above Big Data has an overwhelming opportunity for marketers and giving them an opportunity to deliver the right message to the right person with different contents for different target audience. Machine Learning – This intelligence provides marketers with the opportunity to analyse tr...

When using the customer data for marketing there is a very thin line to be considered. The industry has its own best practise aligned to its execution which we are going to discuss in this blog. Some of the best practises are collecting the customer data and using this data for an enhanced and tailored customer experience in a convenient way but it has its own challenges to it which data usage restrictions, privacy measures, SSL clearance. However, these good and bad practises has to be delegated within to optimise and gain a competitive advantage over the market. Let us now talk about the benefits and challenges of using customer data for marketing (TCS Big Data Study, 2013). BENEFITS 1.      Customer Segmentation: Most of the companies are collecting data based on their target audience. Understanding the buyers journey and then nurturing the leads down to the sale funnel are considered to be the most proven practice in the industry (Lee, Justin; HubSp...

 The use of Big Data for marketers and organizations is a key for success. The amount of data available today is an overwhelming factor for marketers. This data is gathered through email marketing, e – forms, web traffic, social media to name a few, it gives the marketers an opportunity to see inside the minds of the consumers (Lundquist, Eric; 2014). In this era where data is considered to be the gold dust we are going to discuss a few aspects of the value of Big Data for Marketing. Segmentation – Once the data has been collected the data can be segmented into meaning full demographic group with age, gender, occupation, income group etc. This will allow you to excel your campaign and target your audience and also enhance your SEO optimization. Identification – In this phase you can see which content shapes your customer down the sale or engagement funnel and from thereon, marketers can keep a track on their conversion rate and other metrics.  Evaluation...

In continuation to the last blog of understanding the concept and actually what Big Data is let us now talk about the 3V's of Big Data. Generally in marketing the key measuring elements are the 4 P's of marketing which are Product, Place, Promotion and Price. The same narrative can be used for measuring Big Data with the 3 V's which are Variety, Velocity and Volume. This 3V,s define the broad area of data in different fonts according to the merit of data which in combined we call the Big Data. The picture above gives us a clear idea about the 3 data fonts and understand the concept  virtually. Now let us understand these 3 V's in particular. Volume:   The scale of the data available has steadily increased. This refers to companies and individuals. A text file is a few kilo bytes, a sound file is a few megabytes whereas a full-length film is a few giga bytes ( Diya Soubra, 2012). More data sources are constantly introduced. For businesses, employees...

T HE CONCEPT OF BIG DATA  Back in the time Sir Francis Bacon quoted that "Knowledge is power". Breaking down this quote in the modern world it can be termed as information is power hence, too much data can never be used as a basis for decision making (Paraschiv and Danubianu, 2019).  The last era has seen a huge technological development which brought in a lot of data within itself following with data collection and storage. Also, we can say that the entire society is clouded with binary numbers the 0's and 1's.  With a variation of data collected from different data points such as transactions, sensors, streaming and social media, introduced a new and convoluted data types whose storage and processing was now a huge challenge for traditional databases. Hence, the concept of Big Data came into existence.  THE DEFINITION OF BIG DATA  Now from the above discussion we understand how the concept of Big Data came into existence so let us talk a...