Get to know Lautaro Carrillo, a data-oriented professional with an interesting career ahead!
Where are you at in the world these days?
I’m in Buenos Aires, Argentina
How did you get into mobile advertising?
I really loved video games. Not only desktop but also mobile games. I always wanted to participate in the gaming industry no matter where. I did some digital marketing courses and I got a lot of experience from there. Suddenly, in 2019 Etermax gave me the huge opportunity of being part of this great community.
What is your favorite area of mobile marketing?
I really love UA (what I do nowadays). I’m quite new in the industry. I only have one year and a half of experience but I consider myself quite skilled.
What would you consider to be your marketing specialty?
Data analysis no matter which channel, definitely. I really love to analyze data and get performance and results based on real numbers. The mobile industry gave me the opportunity to increase my capacity and understand that user behavior is more than just e-commerce.
What are the biggest challenges you currently face apart from covid19?
The challenge I’m facing right now is on Tiny Bytes. It is an Action mobile game development company. This is one of the greatest decisions of my life. They gave me the opportunity to BUILD the user acquisition area. They are a fantastic team and they have an astounding philosophy of teamwork in which all have the same level of access to every single data and decisions are made by the team.
What are your essential tools and resources?
For any User acquisition activity, you’ll need an MMP (Mobile Measurement Partner) also is very important to have all the data centralized in one place such as tableau, metabase. Apart from that I really like to check on the mobile dev memo for news on the area and improvements. Also, Deconstructor of fun is a good place to check updates on the industry.
What do you think are the key future trends in the mobile industry?
I feel the mobile industry is migrating to an automation activity in which we’ll need less and less operative work and concentrate our efforts on data analysis and user behaviors from different points of view.