Targeting Search Terms for Google Shopping

If retailers don’t want their products to show up for unqualified searches, there are now several opportunities for them to “compete smarter” and leverage advanced search term targeting techniques.

In our 3-part series on Targeting Search Terms for Google Shopping we will discuss:

Part 1: Google Shopping Whitelists
Part 2: ISO Campaigns
Part 3: Programmatic ISO Campaigns

Part 1: What are Google Shopping Whitelists?

There are a couple of ways which you can achieve a more targeted and thoughtful approach to PLA search term targeting. One way is to build out and utilize a Google Shopping whitelist.

Shopping whitelists automate the process of picking out and approving the keywords (exact or phrase) that are relevant and profitable for products. This can help close the gap between a search query and a product pairing relationship so that your products only show up for the searches they are most likely to convert on.

Here’s an outline of how the Shopping whitelist process works:

1. Harvest your approved “top performing” search terms

Using our in-house technology our marketing managers can build out a list of approved search terms also known as a Shopping “whitelists” for each product.

Approved search terms are essentially the “top performing” keywords or search queries that convert the most often for your product. As a retailer, you want to show up for these specific searches and you’re willing to pay for them because your data shows a strong search query to product ad relationship.

2. Adding Negative Keywords

Once you have identified your top performing search terms, the next step is to start adding in your negative terms or in other words – the search terms you don’t want your products to show up for.

For example, a shopper begins a general product search for “refrigerator”. Google will do it’s best to display the most relevant product ads for that search query. In this case, Google references your product data feed and finds that several of your refrigerators could be relevant to this shopper’s query.

The only problem is – this shopper is still in the “research” phase most likely due to his very generic and broad choice of search terms. This happens pretty frequently to retailers and results in a lot of wasted clicks.

What we have been able to do is – unless that search query (ex: “refrigerator”) matches your products approved “whitelist” of search queries or terms, it will be added as a negative. This ensures the next time someone searches for “refrigerator” your ad will not show up and will help avoid wasted ad spend.

Pro-Tip: It’s possible to have programmatic technology generate a daily report of all non-converting phrase and/or exact search terms in the last 30 and bulk add them, which can equate to negativing hundreds of keywords per day.

In contrast, we can assume someone searching for a “Whirlpool 36-inch Wide French Door Refrigerator” knows they want a very specific type of refrigerator. At this stage in the shopping process – they are looking for this specific refrigerator for the best price.

google shopping whitelists

3. Sculpt Your PLA Traffic

After a couple of weeks of gathering query data and negativing non-converting search terms, you’ll have a campaign where the traffic is suppressed to the point where it will only trigger ads for a handful of desired keywords.

The magic of sculpting your PLA traffic is the ability to hone in on the exact keywords for which you want PLAs to show up for.

It also allows practitioners to be extremely aggressive with bidding on these ad groups.

In theory, you could make all of Google Shopping search-term based instead of product-based with this ability.

Pros of Google Shopping whitelists:

    • Ability to push and be aggressive on more targeted search queries based upon user
      search intent

 

    • Ability to control the SERP in regards to hand choosing what products you want to
      show up for more specific search queries

 

    • Ability to split out campaigns/ad groups to target different parts of the funnel based
      upon the user’s search query (ie: Query = Refrigerator vs Black Samsung French Door
      Refrigerator) & ensure both the bids and product mix are targeted accordingly to give the
      customer the best chance of seeing relevant products that you offer

 

    • Ability to push for high impression share and dominate a specific subset of searches with
      relevant product

 

    • Stay ahead of your competitors. There are still many companies running very
      rudimentary Shopping campaigns but more and more are understanding how huge
      Google Shopping is to their business and overall advertising success. The ability to almost
      target users exact queries (especially top performers) can reap great performance gains
      and efficiency

 

Are there any cons to Google Shopping whitelists?

The answer is yes. Although Shopping whitelists are a great way to help funnel and sculpt traffic to your products, essentially retailers are still paying for that first click or “research data”.

Shopping whitelists also require automation (aka technology to generate a daily report of all non-converting phrase and/or exact search terms and bulk add them), which is something not every retailer has access to.

These two drawbacks are some of the main reasons we decided to experiment with ISO campaigns, a strategy we use to duplicated campaigns and funnel search terms to the appropriate PLA, which you can read about in Part 2 of our Search Term Targeting Google Shopping series next week.

For more on Google Shopping whitelisting, email tara@cpcstrategy.com

 

 

The Google Shopping Guide: 2017 Edition

Next-Level Implementations in 2017 for Advertisers on Google
 

About the AuthorTara graduated from the University of New Hampshire with a B.S. in Journalism / Business. Her passion for creative publishing and quality reporting landed her work opportunities at several companies in Massachusetts, New York and California. She is a leading voice behind CPC Strategy’s Blog. See all posts by this author here.