John Horn
The PPC team at StubGroup Advertising loves using DataFeedWatch because of success stories like the following.
In late August 2015, we
This was
Client Started With a Very Simple Feed
The client sells t-shirts, mugs,
When they came to us in 2015, the client’s Google Shopping campaign used data from a simple product feed uploaded manually into Google Merchant Center. The feed was basic — just enough to meet Google’s requirements, except for the several hundred products that were disapproved because of missing information.
Created a New Feed Using DataFeedWatch
We pulled the product data from the client’s BigCommerce store into DataFeedWatch and built a new feed from the ground up.
Our goal was to give Google as much product information as possible. The better quality data you give Google, the more they like your products — and the better chance you have at a competitive edge.
In addition to mapping all of the required information, we used DataFeedWatch to add bonus fields such as:
- Gender
- Age Group
- Color
- Product Type
Fixed Disapproved Products
The next problem to fix was the
Disapproved products is a problem because:
- The products can’t be advertised
- Google doesn’t like seeing disapproved products in Merchant Center, and will sometimes suspend the account if there are too many disapprovals
Most of the disapproved items were disapproved because they were missing information that Google required. We fixed that by using custom rules in DataFeedWatch to add the missing
Increased Conversions by 379% Year-Over-Year
Using the fresh, expanded feed from DataFeedWatch as our foundation, we dug into the Google Shopping campaign structure and looked for opportunities to increase clicks from the top-converting products.
In August 2015, the client had 2,429 clicks from Google Shopping.
In August 2016, the client had 10,505 clicks from Google Shopping.
That’s a 333% increase in click volume year-over-year.
Better yet, conversions increased by 379%.
Many factors contributed to the significant increase in performance, including market trends, changes to
That said, DataFeedWatch played a critical role in our success by allowing us to advertise as many of the client’s products as possible and format the data in a highly optimized way.
Next Recommended Read: Optimizing product listings is like composing music. How to get it right?
