Feed Optimization
CI excels at product feed optimization. It is a key reason CI was chosen to be a featured Google Shopping launch partner.
CI Product Data Feed Optimization
The Four Key Disciplines of Product Data Feed Optimization
The CI Product Feed Optimization Platform encompasses 4 key disciplines:
Unification

CI has created the patented Product Unification technology that links many different representations of a product together to create a single representation of that product across the online channel. This essential technology uses data from manufacturers, retailers, shopping engines and other sources to pull like products together automatically while ensuring that two dissimilar products are never linked.
CI’s Product Unification technology is a key component in all CI services, helping to improve the online representation of products for manufacturers, retailers and other advertisers. It equips online marketers with a unique, important functionality that cannot be created or maintained manually.
CI’s patented* Unification process interprets and understands the important data points about product information by using several key pieces of product data to determine unification eligibility. The process sees through any bad data using a system that takes into considerations factors such as manufacturer name consolidation and data interpretation algorithms. With unified product listings consumers can compare the same product across multiple reseller offerings easily. It provides a better shopping experience that typically results in higher conversion rates for online sellers. Unification allows for accurate and speedy placement on shopping engines with proper categorization of products into CI’s Universal Type-based Categories. Unification is the cornerstone of comparison shopping across a variety of sites by providing a singular product across multiple retailers.
* Channel Intelligence is the owner of U.S. Patent No. 6,917,941 entitled, “Method and Apparatus for Creation and Maintenance of Database Structure.”
The CI Data Loop: Categorization, Attribute Harvesting & Content Optimization
- Clean up date (HTML, punctuation)
- Identify attributes (color, size, etc.)
- Inventory management (stock status)
- MAP override (prevent violations)
- Promotional text
- Content optimization (UPC, MPN)
- Name Cleansing and optimization (remove dupes, add branding, etc.)









