
Data Analytics
The Next Frontier in Probabilistic Forecasting

Data & Analytics , Data Analytics , Data Lake , Data Modernization
Put Data to Work For Your Enterprise with Analytics

Marketing as a discipline has gone through a whirlwind of changes since its explosion at the start of the industrial revolution. In its most primitive stage, marketing was centered around generating interest and enthusiasm for a product or service among the masses irrespective of customer identity. The 1980s saw the dawn of customer identity. Enterprises began to take an active interest in understanding consumer needs and targeting their pitch to a subsection of the masses that they believed to be their core customer base. In this period, enterprises began to exploit media based advertising such as radio and television. Tele-advertising took off and has over the years grown to be one of the strongest means of marketing.
With the arrival of the internet age, there was a sudden advancement in technology that gave way to new marketing channels called Digital Marketing. In today’s world, where most users have a fingerprint online, corporations have the scales tilted in their favor. The mass consumer market is available for marketers to target and advertise online. The open secret to a successful marketing campaign remains the same – it lies in the enterprise’s ability to identify the right customer to market the right product. However, the underlying problem of no longer having to target customers as segments can now be resolved.
With the usage of a customer’s online behavior and preferences, we can now make marketing strategies and decisions targeted toward individual customers through Hyper Personalized Marketing. It allows enterprises to tailor marketing content to each consumer to maximize conversion rates.
As per a study conducted by SalesForce, 51% of consumers today expect that in the near future, companies they interact with will anticipate their needs way ahead of time and accordingly make relevant recommendations. To get to that level of personalization, one must first understand a customer’s identity. What kind of background does the customer come from? How old is she? What does she do for a living? Hyper personalized marketing considers a customer’s real time behavioral data and browsing information and has the potential to generate more leads for the enterprise.
Apollo Program, a technology-led audience insights company based out of New York City, turns entire data lakes into invaluable data assets for their clients through the use of artificial intelligence. Apollo’s business is centered around its patent pending technology that captures, organizes, and structures consumers’ digital behavioral signals to provide a competitive edge to its clients. Leveraging the billions of data signals that it captures, Apollo creates customer centric insights for its clients using which they can make fully informed strategic decisions.
Apollo Program had the vision to create an AI-based hyper personalized marketing platform that can help marketers tailor content based on individual preferences and achieve true hyper personalization. To realize this herculean task, Apollo Program partnered with Quantiphi, a category defining applied artificial intelligence company.
As a part of this solution, each website being visited by a customer was classified into a certain broad category based on keywords contained in the web page link to better understand the web page’s offerings and value. For example – any webpage that contains keywords associated with the pyramids information would be classified under the “Arts and History” category. Any customers associated with such websites would be deduced to be interested in Arts and History subjects. Based on the strong correlation between a web page’s offerings and a customer’s key interests, a marketer would be better placed to make important marketing strategy decisions.
To realize their vision of achieving hyper personalization, Apollo Program and Quantiphi leveraged the AWS cloud platform.
Quantiphi was able to help break down the problem for Apollo Program into the following:
With AWS cloud services, Quantiphi and Apollo Program were able to build a scalable, robust, hyper-personalized consumer insights platform that allows marketers to attract and convert high quality leads, improve brand perception and build deeper customer loyalty by interacting directly with the end consumer. Although we are still quite far from the idea of being able to anticipate the consumers’ needs beforehand, this solution is a strong leap in that direction.