I don't believe in increasing friction through password protection! Below is a high level outline of the business problem, research approach and impact. Happy to share full details in private spaces.
ROLE AND TIMELINE:
Research Lead, Sep' 24
RESEARCH METHOD AND PARTICIPANTS:
MaxDiff survey, Moderated Interviews
PRODUCT SQUAD PARTNERS:
Product Manager, Engineering Manager, UX Designer, Data Scientist
SUMMARY:
Led moderated interviews and MaxDiff analysis to uncover underlying needs for advertising controls, leading to the introduction of goal based campaigns and informing a strategic shift toward maximizing seller ROI
Business problem
Etsy Ads has long been a steady revenue stream, but as discretionary spending declined, Etsy (and Etsy seller) sales trended downward. Less intentional buyer clicks drove a significant drop in seller ROAS in turn leading to sellers pulling back on ad budgets, putting both Etsy’s and sellers’ growth at risk. As a result, the Ads team shifted gears from focusing on pure revenue driving efforts to increasing Ad attributed GMS.
Customer problem
Driving GMS required more seller investment, but sellers were hesistant to invest more as they lacked agency on how their money was spent across their shop. On the other hand, Etsy Ads was reluctant to add too many controls in fear of them being misused by sellers. To resolve this tension, I prioritized foundational research to move away from solutioning and define the true seller problem behind their ask for controls.
RESEARCH APPROACH
Question storm with stakeholders
Gather questions and concerns around what a future state with ad controls would look like
Hypotheses generation
In-depth interviews with sellers to learn their performance expectations from our ad product
Feature prioritization
MaxDiff survey to size and prioritize controls across different seller profiles
In past studies where controls came up, sellers often jumped to suggesting features which they encountered on other ad products. So this research was taking a step back from features and understand more about desired outcomes and the underlying attributes that lead to their asks.
LEARNING OBJECTIVES
Learning #1: Agency trumps 'controls'
Given the diversity of Etsy’s seller base across business models and item categories, we learnt that ‘controls’ meant different things to different sellers depending on their business goals. At its core, however, it reflected a desire for agency, the ability to choose the right course of action for their shop and listing strategy.
Learning #2: Trust building is crucial for investment
Our MaxDiff analysis revealed that budget controls consistently ranked as the top priority for sellers across all segments, above creative or targeting controls. When triangulated with findings from the prior study, it became clear that sellers lacked trust in a fully automated ad product to accurately interpret their goals and allocate daily budgets effectively.
KEY DECISION