Seth Godin said it best:
“Me, me, me, me. My favorite person — me.”
In a society where we are constantly being bombarded with messages, we no longer have the time to stop and listen to everyone. Most people don’t pay attention to ads. We can no longer market to the masses by blasting commercials on TVs and radios. They silence the TV, install ad blockers on their computers and click the handy “Skip ad” button on YouTube. And yet, in order to make a product successful on the market, we have to make it known.
Understanding people and learning how to appeal to them is my afflatus, i.e. my inspiration. That’s why I love the relationship marketing era. With so many products on the market and so many variations, it’s no wonder that the public ignores the majority of messages they hear. In this world of global niche markets, we should aim to connect with the innovators and early adopters. To succeed, we, as marketers, need to tell innovators and early adopters why they should care, instead of telling them what we make. After that, as Simon Sinek points out, they will make it their own and they will tell people;
“The goal is not just to sell to people who need what you have; the goal is to sell to people who believe what you believe.”
I believe in helping people enjoy life to the fullest. I aim to create marketing campaigns that’ll inspire people.
My passion is analyzing cultures and discovering the differing values from across the world. In order to apply my passion, I earned a Master of Science in Big Data Analytics for Business from IESEG (France) in addition to my Dual Degree from the University of Maryland: B.S. International Business and Marketing double major and B.A. in French Language and Literature. These degrees have given me the foundation to understand and be a force of innovation in the new data-driven marketing world.
|My Vision||My Mission||My Goal|
|To provide the right customers with the right communication at the right time.||To develop into a knowledgeable, efficient and data-driven international marketer.||To follow the fast-paced data science development in order to determine which algorithms can be adapted to answer the client’s needs.|