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.
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Watch our on-demand ecommerce webinars to gain expert advice and tips from our community of industry leaders.
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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.
DownloadStatistical significance is a research term used to describe results that are unlikely to have occurred by chance, but rather are a product of one or more research variables.
For the modern ecommerce business, data is everything. But if teams aren’t equipped to analyze and interpret data effectively, the research can fall flat. Statistical significance acknowledges that the results of the research are unlikely to have happened by chance. In other words, statistical significance shows a business that its results are driven by another cause.
Brands use research to test any number of elements related to their business, including customer behavior, employee needs, marketing tactics, and more. When they collect data, they might analyze the relationship between certain elements, such as the impact of a call-to-action (CTA) on customer conversions.
If the brand finds statistical significance in an experiment like this, it’ll understand that the CTA did, in fact, influence customer conversions either positively or negatively. This metric is represented as a percentage, giving researchers a spectrum of significance from weak to strong.