Founded in 2010, the visual discovery engine Pinterest supports 400 million
users each month. At Pinterest, users known as "Pinners" log more than 240
billion information points known as "pins." With all that data, technology plays
an integral role in supporting the company mission: Provide value to all who use
Pinterest for pinning everything from recipes to craft ideas, travel, and more.
In fact, almost all changes to Pinterest products are data-based and come
from research done on Pinner behavior. Using data and ML, the company
collects and analyzes trending searches and overlapping interests on a
millisecond-by-millisecond basis to identify relevant ideas for each person.
Pinterest relies on data to analyze what it should do next and how its Pinners
respond to changes and improvements. It constantly tracks how and where
Pinterest reinvents as data-driven
"Pinterest is data-driven, top to bottom, in
everything we do—but we never lose our focus on
the individual people who use our product."
David Chaiken, Chief Architect, Pinterest
it can best serve users. And although the provider started as a website, it's
evolved to deliver mobile experiences to 70 percent of Pinners who log in via
their mobile devices.
AWS has long supported Pinterest's remarkable growth, providing the
scalability and reliability that it must have to run its business. Chaiken says, "As
a born-in-the-cloud company," Pinterest's ambitions "have never been limited
by the walls of a data center." AWS has helped eliminate data constraints for
Pinterest and thousands of other organizations that have endeavored to build
their functions (and futures) around data.
DATA-DRIVEN CULTURE
19