Yeoman Technology Group

A recent Yeoman study of over 1,500 items sold on Amazon from a leading US manufacturer found a whopping 70% contained errors or did not follow Amazon’s best practice recommendations for providing product details. This study further showed the same level of inaccuracy on Google and Bing product searches. This is a maddening problem that plagues manufacturers in every industry. Once a product is “out there,” resellers, partners, distributors and reviewers end up shaping and revising the product details that your customers are going to use to make their purchase decision.

Products sold by Amazon definitely had better data quality, but less than 4% could be considered 'optimized' with the proven best practices for any item:

• Descriptive title at least…

Yeoman is often asked by clients to help identify 'gaps' in their teams' abilities to be more digitally focused.  Most companies we work with often have great sales teams, a solid marketing group, and good business analysts but they still struggle with the best way to support their sales and distribution efforts online. 
 
Over the years, Yeoman has found most organizations have gaps in 3 key areas:
 

1. Online Product Merchandising:  The actual creation of product details online is often relegated to a junior buyer, marketing associate, (or worse) an intern. The thought of what product details will be often comes last and is rushed out as the product is shipping.  Big mistake.  Building up your internal content skills…

Data, data everywhere, and nary a data scientist in sight. Or at least, not one you can afford. It's a classic Catch-22. To thrive, businesses need to pull financial, sales, predictive, social, and other data into a complete view of the customer. But big data practitioners with fancy degrees who can bring sophisticated analytics chops to bear on that effort start in the six figures, if you can even find one.

Academics and consultants pontificate on the crisis. McKinsey & Co. exclaims that advanced big data analytics, driven partly by the Internet of Things, could increase GDP in retailing and manufacturing by up to $325 billion annually and trim nearly as much from the cost of healthcare and government services by 2020. Too bad most organizations will never be able to hire that…