How Joey Bidner Drives Incremental Ecommerce Revenue Using Feed-Driven Search Automation

Search campaigns have always been tricky for ecommerce advertisers.

Shopping campaigns naturally map product searches to product pages. Search campaigns, on the other hand, often struggle to achieve that same level of specificity.

Trying to recreate a shopping-style structure in search usually leads to bloated campaigns with thousands of keywords and ad groups.

And Dynamic Search Ads (DSA), while helpful, rely heavily on the structure and content of landing pages, which aren’t always optimized for search matching.

As Joey explains: “Trying to create an ad group for every product in search doesn’t work. Keywords are messy. You never get the exact product match you want.”

He needed a way to:

• • Match product searches to specific product pages
• • Avoid massive campaign structures
• • Use product data more intelligently
• • Capture incremental demand beyond shopping campaigns

Joey found a way to combine Dynamic Search Ads with product feeds using Optmyzr’s Campaign Automator. It lets him create product-specific search campaigns powered directly by product feed data instead of relying on landing page content.

1. Feed-driven DSA campaigns

Instead of relying on website content, Campaign Automator uses product feed data as the source for search matching.

That means optimized product titles and descriptions become the signals used to trigger ads.

“Optmyzr will use my product feed and automatically create a DSA ad group for each product using the feed as the source for query matching.”

This solves a common ecommerce problem: product pages are often not optimized for search matching.

2. Precise product segmentation

Campaign Automator also allows Joey to segment campaigns using feed attributes.

Instead of advertising the entire catalog, he can target specific product groups based on business priorities.

For example:

• • High-margin products
• • Top-selling products
• • Products above a certain order value
• • Custom labels within the feed

“I can tell Optmyzr to only use products from a specific custom label to fuel a campaign.”

This gives him far more flexibility than traditional DSA campaigns.

3. A Full-funnel Search + Shopping strategy

Rather than replacing shopping campaigns, Joey uses feed-driven search to support the entire ecommerce funnel.

His structure typically looks like this:

High Funnel
Standard search campaigns for store-level queries (e.g., “appliance store near me”).

Mid Funnel
Traditional DSA campaigns targeting category pages (e.g., “refrigerators”).

Lower Funnel
Shopping campaigns + feed-driven DSA campaigns targeting specific products.

“That’s my full funnel. Standard search, DSA for collections, shopping, and feed-driven DSA for specific products.”

This structure allows each campaign type to capture the right stage of the buyer journey.

The biggest impact of this strategy is capturing additional product-specific search demand. Shopping still drives the majority of conversions, but feed-driven search campaigns help capture additional product-specific queries.

Joey typically deploys these campaigns selectively, focusing on products where higher CPCs still make financial sense.

For example:

• • High-margin products
• • Products with higher order values
• • Top-performing items

“It’s where I’ve been able to strategically get very, very good returns.”

Another benefit is the ability to dominate the search results page.

Showing both shopping ads and search ads gives potential customers multiple ways to discover a product.

Additional Benefits

A unique strategy clients get excited about

Introducing a strategy that most advertisers don’t use also creates excitement with clients.

“Clients love when you bring something new to the table, something not everybody can do.”

Because the campaigns are easy to launch and easy to measure, they also make experimentation safer.

If the strategy doesn’t work, it can be quickly turned off.

Flexible testing without risk

Joey recommends deploying strategies like this during periods when testing won’t impact critical performance targets.

“Pick the right time of year to try something new. Don’t test during peak season.”

Used correctly, feed-driven search becomes: “The icing on top of the sundae.”