Product data quality, validation, and completeness best practices
Running an eCommerce store comes with its challenges, and one of the critical tasks is ensuring that product information is always accurate. If a customer receives the wrong size or an item that doesn’t match the description, it can lead to negative reviews, lost sales, and dissatisfaction. This is where data validation techniques come into
As a retailer, you understand the complexities of managing supplier data from various sources and formats. Maintaining accuracy and consistency is a constant struggle, that leads to inefficiencies and missed opportunities. But what if there was a solution? Yes, you heard it right, Apimio PIM has the solution you have been searching for. Apimio PIM
Retailers lose billions and lose customer trust when supplier product data is inconsistent or poorly formatted. In the U.S., e-commerce returns already account for 17% of total retail sales (≈ approximately $890 billion), and return rates are forecasted to reach 24.5%. Meanwhile, 87% of shoppers say product descriptions are the most important factor in their
Handling eCommerce product data normalization can be overwhelming, especially when suppliers provide data in inconsistent formats. One may use “S, M, L,” while another writes “Small, Medium, Large.” These inconsistencies can lead to errors in product listings, broken search filters, and a frustrating shopping experience for customers With a PIM system, businesses can normalize data
Analytics and performance tracking have become vital components for businesses seeking to thrive in the competitive realm of e-commerce. Within this landscape, product detail pages hold significant importance as virtual storefronts, playing a pivotal role in engaging potential customers and driving sales. In this blog post, we will explore the criticality of data quality metrics
We often talk about how critical complete, accurate product information is; after all, it’s the backbone of good product experiences and better conversions. But having product data isn’t enough. Great product data quality means giving customers standardized, optimized, and consistent details that truly help them decide. So here’s the real question: how can businesses improve
See how Apimio can help you manage product information across all your channels.