MarTech

“Griffin” learns from millions of customer interactions daily to continuously improve customer experience and engagement.

Testing is the critical part of software development. Unit testing is usually where it starts. That’s because it is quick and easy to get started and builds the safeguard to protect the future code changes to ensure they are inline with the corner cases. It is also much easier to maintain. The biggest advantage of unit tests comes from forcing the developers to write modularized and testable code.

Advertisements are a key aspect of Wayfair’s marketing and growth strategy. Powering each of these ads is a plethora of data - product name, description, price, quantity - all used to maximize RoAS (Return On Advertising Spend) and present the highest quality ads to potential and returning customers. As one might expect, managing this data is no easy task. Different teams handle different subsets of data, and each has its unique platform and way of providing access.

If you're a Wayfair customer or supplier, you have received our promotional and transactional messages. These come in a variety of flavors. For promotions, it could be a Thanksgiving/Black Friday sale or a Summer/July 4th deal. With transactional messages, the focus is on areas such as order updates, shipment confirmations, and cart abandonment messages.

Today, many companies rely heavily on third-party event tracking platforms for collecting event data. Perhaps the most well-known of these is Google Analytics. However, at Wayfair, we chose to go another route, largely eschewing the third-party vendor model to develop our own first-party event tracking platform. It’s called Scribe.

If you've searched on Google or Bing for an item to make your home just right for you, and came across an ad for Wayfair, then you've already experienced our Wayfair Ads Bidding Platform in action! This post dives into the details of why we built this platform, how it evolved, its core building blocks, and plans for future enhancements.

If you are among the tens of millions of customers who have shopped at Wayfair, you have experienced one of the many technologies built by the Machine Learning and Data Platforms team. We serve the business, engineering and data science teams across Wayfair, who are working on solving one of the most intriguing and gratifying challenges — helping our customers make their dream home a reality.

Wayfair hasn’t always been a household name, but technology has always been at the center of everything we do. When co-founders Niraj Shah and Steve Conine built our first website, racksandstands.com, they did so with ambitious plans for the future. As they built more than 250 more sites, they used data to understand how best to scale their effort to provide a better shopping experience across various Home categories.