Tag: big data

The way people have come to use various smart devices, and the rate in which smart devices are getting even smarter thanks to cloud computing, AI and IoT, Big Data is getting bigger than it used to be. As each device continues to contribute to the data pool, valuable consumer behavior patterns lie hidden in this unending sea of data. To be frank, Big Data is quite unmanageable, and difficult to use, without the right tools and techniques. Big Data has given companies access to market patterns that were previously undiscovered and inaccessible, thanks to Predictive Analysis tools. Social media usage too continues to add to this ocean of data, which can prove to be a double edged sword. One has the option of using Big Data to understand and predict market outcomes, or one can choose to ignore it and continue engaging in outdated marketing techniques. Marketing techniques are not static; they’ve always been dynamic As any marketer worth his salt knows, promoting, selling, and distributing products and services follow a certain pattern. Yet, marketing has always adopted technology as science has evolved, though the basic premise has always been to promote, sell, and distribute. In the olden days, marketing involved the town crier screaming out new products for a certain price. When printing technology became more accessible, businesses started to hand out leaflets and put up posters and banners in easily accessible places. With time, computers began to be used, and analytics and measuring slowly entered mainstream marketing processes, which helped to understand market trends. Just a few decades ago, companies were busy analyzing trends using Microsoft Excel sheets, and sometimes using basic statistical tools to translate basic demographic data into something that would help in creating marketing and sales campaigns. There were naysayers back then too, claiming there wasn’t much to understand or use, with the results that analytical tools fetched. With the advent of social media marketing, there were naysayers again, who claimed social media is a fad, and that it was pointless to include social media marketing in traditional marketing processes. Today, even the most conservative marketing department is scrambling to communicate with its audiences on social media, and use that data to come up with better ad, marketing, and sales campaigns. In short, you can clearly see how marketing structure hasn’t changed at all, even after hundreds of years. It has always been about understanding and communicating with an audience with the purpose of promoting, selling, and distributing products and services. This basic marketing premise has never been static though. It has always been dynamic, and has employed innovative techniques, strategies and technologies to address a market creatively, and understand it better. How Client X sold travel insurance certificates in an unfamiliar market The problem : One of our clients, let us call them X, wand to enter an unfamiliar market to promote and sell their travel insurance product. As the client did not possess any prior experience or knowledge about the market, it was difficult for them to develop a culturally-appropriate marketing campaign to promote, sell, and distribute travel insurance certificates. The solution and the process: Our development team helped the client to understand various cultural factors, buying behaviors, market and industry trends, and social conversations with respect to insurance purchase, in the specified market. Social conversations were meta-analyzed to match with existing Big Data, using predictive analysis tools, to translate disparate data into understandable statistics, which were interpreted finally. Statistical insights provided by predictive analysis tools helped the client to get an all-round picture about the market. This customer intelligence, drawn from various data sources, including social conversations and Big Data, helped the client to hotlist prospective customers who could be contacted. High quality prospects and leads were profiled based on their psychographic and demographic variables, and marketing campaigns were tested before going live. Again, predictive analysis helped to predict the outcome of tentative marketing campaigns that were tested. Prospects that seemed to drop-out eventually were shortlisted too, and the campaign focused on bringing travel insurance certificates to only those who were most likely to purchase it. What Predictive Analysis found: The said market had a tendency to travel in a certain pattern centered on specific holidays, specific weather patterns, and specific political events that took place. For example, the target audience traveled more often during periods when there were political arguments, probably to escape the negative atmosphere. Similarly, Predictive Analysis helped to predict when extreme weather condition like intense heat waves, and heavy rains occurred, periods during which the target market saw an increased number of flight tickets being booked. Results: Predictive Analysis helped to automate marketing campaigns during many such situations, when people would be more likely to travel, and in turn purchase travel insurance certificates. A concerted effort to bring social media conversations, Big Data and predictive Analysis tools helped the client to enter an unfamiliar market, and consolidate its basic marketing strategy.      Social media is already part of basic marketing Most CMOs are hesitant to even discuss Predictive Analysis and big Data, because these terms still seem like buzzwords to them. There is also a misconception that traditional marketing techniques are at odds with newer tools and techniques such as Big Data and Predictive Analysis. Yet, the truth is in plain sight: we already know that social media has helped us to reach out to our audiences and study markets, better than we ever did before. We also know that consumer behavior has changed in the last few years, with even the poorest of people using mobile devices to access information and to shop. We also use social media alongside traditional marketing practices in such a way that they now complement each other. No C-level executive would now argue that social media is at odds with basic marketing strategies. Social media is now an integral part of any marketing practice Yet, there is a resistance toward Predictive Analysis and the way Big Data is being used in marketing.