Learn about the digital shelf, including strategies for winning sales.
How (and How Much) Will AI Change Shopping
Rob Gonzalez, Salsify co-founder & CMO, explains the shift to chat-based discovery and how brands can prepare.
Learn MorePIM
Manage all product content in one central system of record.
Syndication
Easily syndicate product content to every consumer touch point.
Enhanced Content
Enrich product pages with below-the-fold content and rich media.
Intelligence Suite
Bring AI-powered capabilities directly into your Salsify workflows.
Grocery Accelerator
Leverage the first-ever category-wide PXM accelerator in the grocery industry.
GDSN Data Pool
Synchronize standard supply chain, marketing, and ecommerce attributes globally.
Digital Shelf Analytics
Continuously optimize your organization’s product content syndication.
Catalog Sites
Share secure, on-brand, and always up-to-date digital product catalogs.
Automation and AI
Automate business processes and enhance Salsify workflows with AI.
PXM Platform, Integrations, and APIs
Integrate the PXM platform with the rest of your enterprise systems architecture.
Resources
Resource Library
Explore our ecommerce resources to get everything you need to win on the digital shelf.
Blog
Read our blog to get actionable insights for navigating changing markets and industry demands.
Webinars
Watch our on-demand ecommerce webinars to gain expert advice and tips from our community of industry leaders.
Customer Blog
Gain the latest tips, industry trends, and actionable ecommerce insights.
Knowledge Base
Investigate our knowledge base to build your Salsify skills and understanding.
API
Examine our comprehensive API and webhook guides to start working with Salsify quickly.
2026 Consumer Research
Our latest report shares shoppers' fresh insights on buying behavior, loyalty, AI trust, and more.
DownloadA/A testing is a method of evaluating a variable — such as a blog post or a button — in which a business assesses two groups’ separate engagement with that variable.
In A/B testing, a business’s marketing or product team will evaluate how two or more audiences engage with different variables. The business might create two different email subject lines, for example, then assess how many readers clicked through to the email per subject line. This tests the effectiveness of one variable over another.
A/A testing, on the other hand, evaluates two or more groups’ engagement with the same variable. The business might offer a pop-up for a newsletter sign-up to one group and assess how many filled out the form. Then, they’ll offer the same pop-up to another group of site visitors, hypothesizing that roughly the same number of participants will fill out the form.
If the two groups function similarly, the business has confirmed the effectiveness of their variable. For this A/A testing to be successful, however, they need a clear key performance indicator (KPI) to measure.