We're under 30 days until Google officially, permanently changes its Google Shopping to a pay-for-play model. For those of you who are still figuring Google will reverse course on its decision, take a peek at Google's earnings ever since it has started shifting to the pay-for-play model. They're not going back, folks.
Experts have already begun to study, experiment and opine on how the new Google Shopping world will work. Rick Backus, the CEO and Co-Founder of CPC Strategy, a comparison shopping engine management company, has a lot of insight on how things will work - and how businesses can succeed.
In a discussion about feed optimization, Backus commented, "In reality the most difficult part of feed optimization is the categorization. And so, depending on how many categories the retailer has, in some instances they have 500, 600, 700 categories and the shopping engines don’t do the best job of categorizing the feeds unless you’re dictating to them what the proper category is."
When it comes to structuring data into categories, no one in the world can duplicate the work done by the experts at Edgenet. We know the difference between a bunch of information and a bunch of information structured so that it can be selected, parsed and compared.
In the same interview, Backus describes a data quality scoring system that sounds VERY FAMILIAR to us at Edgenet: "For major hypothetical example: Google says “we’re not going to show any PLAs for a retailer with a data feed quality score below 75.” And your retailer has a 72. Which would mean then they are not eligible for PLAs as the quality of the feeds isn’t high enough to show to their users independent of bids."
Edgenet's Ezeedata collects, then scores product data. Ezeedata has built-in processes that will optimize the product data, along with intuitive prompts for users to improve their score. Once the data receives a score of 75 or higher, it's considered "certified" and we will then deliver it to our partners like Google and Bing.
Coincidence? Perhaps. But the fact that a forward-thinking expert like Backus is thinking like the experts at Edgenet is not really surprising. It's just further proof that Edgenet has built the product data solution for this moment.