PIM
Manage all product content in one central system of record.
Activation
Easily syndicate product content to every consumer touch point.
Enhanced Content
Enrich product pages with below-the-fold content and rich media.
Catalog Sites
Share secure, on-brand, and always up-to-date digital product catalogs.
Automation
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Activation Insights
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GDSN Data Pool
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PXM Platform, Integrations, and APIs
Integrate the PXM platform with the rest of your enterprise systems architecture.
Supplier Onboarding
Accelerate supplier onboarding while ensuring your schema requirements are met.
Product Listing
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Content Enrichment
Increase online conversions with Content Enrichment.
Automation
Save time and increase operational efficiency with retail automation.
SXM Platform, Integrations, and APIs
Integrate the SXM platform with the rest of your enterprise systems architecture.
Activation Network
Automate how you exchange product content data to the digital shelf.
Enhanced Content Network
Turn product pages into product experiences with Enhanced Content.
Ecommerce Platform Integrations
Create winning product experiences on owned sites with powerful ecommerce software.
GDSN Data Pool
Synchronize standard supply chain, marketing, and ecommerce attributes globally.
Open Catalog
Connect to the digital shelf faster with an open, standardized, and free product catalog.
Resources
Resource Library
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A testing hypothesis is an informed, educated assumption about the results of a particular evaluation.
Many businesses will conduct consumer research, website tests, or content evaluations to understand their customers better and ensure they're reaching them effectively. These might include an A/B test on an email marketing subject line, for example, or focus groups to gain consumer insight on a product.
Upon conducting the research, teams generally create a testing hypothesis, or an assumption of what the evaluation will result in, based on past information, market research, or best practices.
For example, a business might create two versions of a webpage, placing a call-to-action (CTA) above-the-fold on one version and below-the-fold on another. Given previous user engagement research, their testing hypothesis might be that the above-the-fold CTA will garner more clicks.
When the test is completed, the business will gather and organize results to determine if their hypothesis is correct. Then, they can use the results to make adjustments to their materials as needed.