Specialized collections. Curated assortments. Personalized recommendations. Targeted offers. Retailers give customers more ways to shop—and more-targeted ways to shop—than ever before. Like omnichannel commerce, omnichannel communication becomes the norm.
Context is the difference between one-size-for-all and just-right-for-me. Bringing precisely the right content and offerings to the right customers at the right time requires systems that understand the context of each. We design product categories, create taxonomies, and optimize the way product attributes are inherited. This is what makes your content more valuable, makes your systems smarter, and allows your organization to act in unison, with greater nuance and accuracy. Managing the technology stack and making sure it benefits the business on a large scale requires processes and people. We work with you to establish sustainable governance, measure results, and make sure you have capable publishing workflows, and content-lifecycle processes.
An online products and services provider needed to increase conversions from an improved the online customer experience. See how EIS assessed and guided changes to the website and simplified product information management for great usability and impact.
We're proud of the work we do and pleased to share feedback from our amazing clients.
“The value that Earley brought was visible from the beginning—helping us to arrive at a consensus and a path forward.”
VP Product Management
“This is awesome, you have exceeded my expectations on what I thought was possible.”
President, Allstate Business Insurance
“We spent millions upgrading technology …. Looking back, I’d get the taxonomy right from the beginning.”
Chief Marketing Officer
“I can say in the short time I have known EIS they have been a perfect partner and have no doubt our partnership will even get stronger and realize phenomenal outcomes.”
Senior Director, MDM
Applying customer and journey context means serving up the right products, services or solutions with supporting data and content to meet needs on a moment-to-moment basis. Therefore, customer data models, product data models, content models, and knowledge architecture all have to follow harmonized information structures–in other words, they have to be tied together by a unified attribute model or framework in order to achieve unified commerce.
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