Akshay Kanojia

Following is the analysis of a series of blog posts written in a span stretching 6 weeks. The analysis report is based on stats from Google Analytics. Realtime Overview : The above stats show an overview of the website. The overview is based on three different metrics and they are: 1.     The total number of users 2.     Number of bounced sessions 3.     Number of non-bounce sessions Out of the total 536 pageviews the blogs accumulated, the bounce rate was only 37.21% which is in the recommended bounce rate percent of 20% and 50%. Audience Overview: The last figure shows the Audience Overview of the blogs and shows how the blogs have a higher number of new visitors as compared to Returning visitors. The difference seems to be less for Bounced Sessions and lesser for Non Bounce Sessions. The majority of the users language choice is English. The majority of the users are from Ireland, followed by India, R...

AI Marketing helps marketers leverage technology in order to create a better customer journey which results in a boosted ROI. Big data analytics and machine learning can be used to gain insights on a company’s target audience. These insights can help create better customer touchpoints and thus the use of AI eliminates the guesswork involved in customer interactions. The way machine learning and AI affect various touchpoints of the RACE model can be seen from the following figure. OYO Case Study: India’s leading hotel network OYO is probably one of the best examples of a company leveraging AI in order to increase revenue. OYO turned to Blueshift to increase their personalized marketing efforts. The company claimed to be using a mere 30% of their customers data and said they lacked an understanding of their customers on a personal level. Blueshift was given the responsibility of increasing their number of bookings and QoS. Blueshift first analyzed OYO’s online and offli...

Traditional Marketing often reaches out to customers through brochure and catalogue mailing with the hopes of evoking a positive response from the customer. Digital Marketers take this strategy up a notch by analyzing the available customer data and thus gain insights on how the customers want to be marketed and which is the best channel to reach them. Using customer data and analyzing it accurately helps deliver personalized interactions and market the relevant products at the right time thus enriching the customer journey. This approach has a lot of benefits and its share of challenges as well. Using Customer Data can help you: -          Segregate your customers into your most valued and big spending customers and your first timers and occasional buyers. -          Segment the customers better, basis their personal interests and other behavioural traits. -    ...

Big Data and how it's revolutionizing Customer Experience Corporate operations decision making has started to get influenced by Big Data hugely in recent times and the two areas facing a major impact are Sales and Marketing. Since its inception, Big data has helped marketers answer two questions which have stymied them for a long time and they are: 1.     When do consumers buy what and at what price do they buy it for? 2.     Is there a link between what consumers hear and read to what they actually buy? Fig 1. (Blockgeni, 2019) Marketers leveraging Big Data to get insights on how their consumers think need to do this in a strategic manner to make sure they can not only answer these questions but also maximize customer loyalty and stickiness with their firms. The priority should never be what will influence the users next purchase or how much is the user willing to spend on his next transaction but rather it should be what will make ...

Big Data Analytics Businesses be it big or small have a huge responsibility of managing the data they're collecting. In some cases, this can be done using excel sheets and similar tools but in the case of companies with humongous amounts of data, the traditional data processing techniques are not very useful and this is where Big Data Analytics come into the picture.  The 3 Vs of Big Data To make sense of the above statement, experts have broken down the concept of Big Data into three segments. They are: Velocity: Velocity refers to rate at which data is coming in and this is perhaps the most important aspect of the three and as Amazon's CEO Jeff Bezos rightly said, “speed matters in business”. With this he meant that companies who are good at making high velocity decisions will have an advantage in terms of speed and this can be done by processing the high volumes of data coming in at a high velocity using Big Data Anal...