Comparative Shopping Engines

Recognize any of these problems?

• 100% of Data Feeds are not complete, accurate and uniform.
• Data rejection rates remain as high as 50%.
• Requesting or doing data fixes remains a huge time sink.
• Data Compaction is incomplete – and on occasions inaccurate.
• Facets (attributes) in sidebar are generic or of limited depth.
• Facet values in sidebar navigation are both missing – and wrong.
• Google & Amazon are increasingly a threat.

Question: What would it be worth to be able to receive more data and better classify what you’ve already got?

Answer: More click-through, more revenue, more everything!

If rejection rates could be lowered, listings and click-throughs would increase and costs would decrease.

If each product had more attributes consumers would have better search experiences and would more likely use CSEs and click-through rates would increase. If product attributes could be verified or added independent of submitter or feed, consumers would trust listings more and reach decisions faster.

FindWAtt’s proprietary technology has these capabilities:

• Automatic discovery in any category of:
  • Attributes
  • Attribute values
• Automatic parsing of product names into attribute values and:
  • Normalizing/standardizing parsed values
  • Adding missing/discarding excess product name components
  • Mapping these values to facets/attributes
• Matching normalized product names – without product ID - to compact them into single listings

 "The foundation for a comparison shopping engine is product data"

See how we can enhance your performance by FIXING your data problems.

Contact us at

FIX@FindWAtt.com for a before and after demo of any product category