Given the evolution of privacy standards across the industry and the adoption of a consumer-first approach, there will be fewer signals to understand the true impact of campaigns as we move into the next era of advertising. As marketers, we need to have data-driven strategies in place to maximize the return on ad spend. Experimentation and testing is a requirement in order to understand the parameters of the campaign that are working and, as an outcome, carry out investments and optimizations based on data. This workshop will give you in depth knowledge on marketing experimentation and arm you with practical ways to test and implement experiments.

What you will learn:

What are the different types of marketing experiments and testing methods?
How to design and structure a successful marketing experiment?
How to interpret results and scale learnings from the experiments?
What should be done to analyze an experiment that did not have successful results?
How to think about an always-on experimenting and testing mindset? And much more…

Who is this for:

Marketers
Web & Digital Analysts
Data Scientists/Marketing Analysts
Growth Managers

Your Instructor:

Pranav Patil is a Marketing Science and data analytics professional. He most recently worked at Snap as a Marketing Science Lead. Pranav collaborates closely with marketing leaders to implement best-in-class measurement solutions that help them optimize their media. Pranav is knowledgeable in marketing experimentation to drive learnings for newer hypotheses. He holds a Bachelor’s in Computer Engineering from University of Pune and Master’s in Business and Information Systems from New Jersey Institute of Technology. Outside of work, he follows cricket and soccer.