Outstanding customer experiences don’t happen by accident. They are carefully constructed and rely on free-flowing, standardized product data that originates from many sources. According to a Gartner survey, over 75% of B2B buyers report their last purchase experience was difficult or complex.
That’s why we created the Essential Guide to Product Data Management in B2B eCommerce to cover everything from dangers and consequences of poor data practices, to how to implement and ensure positive results, as well as examples of companies that succeeded.
Why Product Data Management Is So Important
Recent Oro research into Modern B2B Buyer Expectations finds that the top three pain points cited by buyers are lack of customization, localization, or personalization (39%), lack of real-time stock information (38%), and lengthy purchasing processes (34%).
This friction can be alleviated with standardized, integrated, and free-flowing product data. As B2B buyers turn online for their research and purchasing needs, they are often confronted with conflicting and inconsistent information or the product information they want isn’t available.
Your digital channels should do more than sell products. Buyers rely on your digital presence for product information, education, and support. Without a comprehensive product data management strategy in place, you risk frustrating buyers instead of delighting them. This leads to missed opportunities, customer churn, and negative word of mouth on and offline.
What’s In the Guide?
OroCommerce and Xngage are leaders in helping their clients grow through the effective use of B2B eCommerce. They’ve collaborated to create a guide to product data management that’s focused specifically on the needs of wholesalers, manufacturers, and distributors.
From explaining the need for product data management to identifying sources of friction that are caused by poor data management, you’ll get an in-depth look at this very important topic. There are sections on creating strategies and visualizing data flow as well as determining responsibility for data. To bring product data management to life, you’ll find real-life examples, where you can see how companies are using product data management to improve customer experiences, manage growth, tame complex technological ecosystems, and improve business outcomes.
- How data improves customer experience
- Problems caused by poor data management
- Events that can trigger the need to focus on managing product data
- How to identify friction caused by poor data management
- Steps to developing a product data management strategy
- Case studies and real-world applications from companies excelling at product data management
Who Should Read This Guide?
Whether you are just starting with a B2B eCommerce website or have a mature omnichannel approach to digital selling, you can’t afford to mismanage product data. This guide is designed to help more than just the tech team. It’s for marketing and sales directors, channel and brand leaders, and members of the C-suite. If you are looking to improve your customer experience and channel satisfaction, this guide is for you.
Download the Guide Today!
Gartner Research puts the average cost of bad data at $15 million per organization, per year. IBM estimates the cost of bad data to US businesses at $3.1 trillion.
You can’t afford disconnected product data. It is essential to innovate, create new products, and create engaging and personalized customer experiences.
Download the guide and discover how effective product data management can improve outcomes for your B2B business.