Shoppable Images

role

UX Designer

client

Google

year

2018-2019

Objective

60% of queries on Image Search are "shoppy" by nature. From the merchant companies' perspectives, Google are losing on opportunities to surface product ads to our users. How might we better serve our users' shopping intents as well as better utilize our merchant data to create an elegant e-commerce experience on Image Search?

Creative Process

1. Ideation and Collaboration: The project began with a close collaboration between myself, my product partner, and the data team. We brainstormed how we could leverage the visual nature of Google Images to surface relevant ads without disrupting the user experience. Our focus was on creating a format that felt intuitive and added value to the user's search journey.

2. Competitor Analysis: To inform our strategy, I conducted an in-depth analysis of competitors like Wayfair and Houzz, who had already ventured into this ad format space. By studying their implementations, we identified key features and potential pitfalls, allowing us to craft a more refined and user-centric approach.

3. Launch and Optimization: Upon launching Shoppable Images, we closely monitored the incoming analytics to gauge performance. The data-driven insights allowed us to iterate quickly, experimenting with various ad placements and designs to optimize click-through rates. This iterative process was crucial in fine-tuning the experience and ensuring that our solution met both user needs and business goals.

Conclusion

This project is now live, supporting certain shopping queries. Since this has gone live, contributors to this project have received a patent for this new format, including myself.