Marketing

The Unethical Secret to Target Consumer in 2019

The most important yardstick to measure successful marketing is the ability to reach your target consumer, convert them to do purchases, and make a whopping return on investment (ROI). This sounds rather simple but without being armed with the fundamental secret, you will still be revolving around a circle. Your target audience is that group you’re trying to sell your product or service to. The purpose of marketing is to reach that group and make them see the reason why they should be buying from you and nobody else. In order to reach your target consumer, however, you have to understand their motivations and habits as they pertain to your product. With this, you can fathom a better reason to make them buy from you. Marketing has been inundated with different ideas and means of reaching and converting potential consumers like the application of data science, using influencers, advertising, micro and hyper-targeting, affiliate marketing, and a host of others. While all these are ethical ways to target and possibly convert the audience, they will not make you wholly thoroughbred and an overwhelmingly successful marketer. In order to boost visibility and increase sales while sustaining a profit with a converting offer,…

Continue Reading

Marketing

How OKRs Complement Data Science

Objectives and Key Results (OKRs) is the fundamental aspect of goal-setting and revolves around improved focus, increased transparency, and better alignment. This is done by organizing employees and their work towards achieving common objectives. Since Data Scientists constantly drift into enduring research or optimizing less-valuable metrics, which often leads to wasted time and resources thereby endangering a successful delivery, integrating OKRs enhances strategic guidance and measurability, which help you achieve your project goal. The underlying factor behind Data Science is to fulfill a goal. The frame or yardstick of goals might vary from researching a new model to creating a prototype for improving an existing system. Whatever might be the quest, accurate goal-setting is paramount for Data Science projects. Data Science projects are well-suited for accurate goal-setting because we can compare the key results of our model with the required metric. It’s a common knowledge that product management is a science of experimentation and discovery, hence basing predictions solely about and on user behavior, may go wrong sometimes. It is a natural human instinct to assume that our rational assessment of a problem, based on our past experiences, will yield sound conclusions and represent the likely sentiment or behavior of…

Continue Reading