Deep Dive: Successful E-Commerce Campaign Strategy (Episode 471)

Host: Joey Buidtner
Episode Release Date: July 14, 2025
Podcast: The Paid Search Podcast | A Weekly Podcast About Google Ads and Online Marketing
Host/Author: Chris Schaeffer, Certified Google Ads Specialist

In Episode 471 of The Paid Search Podcast, guest host Joey Buidtner conducts an in-depth analysis of a complex Google Ads account that integrates both e-commerce and brick-and-mortar elements. This episode serves as a comprehensive guide for digital marketers aiming to optimize hybrid business models through strategic campaign structuring and bidding strategies.

1. Initial Account Assessment

Joey begins by describing the initial state of the account, highlighting common challenges faced by account managers:

"The account I have, it is, like I said, an E-commerce brick and mortar business that sells household appliances... when I got it, was still a very profitable account. ... it was just all over the place."
[02:30]

The primary issue identified was the overuse of broad match keywords, which led to a disorganized array of search terms spread across multiple campaigns. This lack of structure made it difficult to optimize effectively, despite the account’s profitability.

2. Search Term Analysis and Funnel Staging

To address the disorganization, Joey implemented a thorough search term analysis rather than a traditional keyword analysis. Utilizing ChatGPT, he categorized search terms into different funnel stages based on purchasing intent:

"I identified four parts of the funnel... high funnel... appliance types... brand searches... specific model searches."
[05:15]

• High Funnel: Locational searches such as "appliance store near me" with lower purchase intent.
• Mid Funnel: Searches for specific appliance types like "refrigerator" or "washer and dryer."
• Brand Searches: Users seeking particular brands, indicating higher intent.
• Low Funnel: Searches for specific models, representing the highest purchase intent.

3. Restructuring Campaigns

Based on the funnel analysis, Joey restructured the account to align with the identified stages:

a. Shopping Campaigns

These campaigns target low-funnel search terms with specific brands or models. To optimize profitability, the products were segmented using custom labels based on profit margins:

"Having them separated simply allows you to spend as much as you possibly can on those higher profit margin products."
[12:45]

This separation ensured that high-margin products received more budget allocation, enhancing overall profitability.

b. Dynamic Search Ads (DSA)

Joey leveraged DSAs to manage mid-funnel searches efficiently:

"DSA can truly do a good job of that middle of the funnel... it creates that direct correlation."
[22:10]

DSAs dynamically match search terms to relevant landing pages, reducing the complexity of managing granular keywords while maintaining relevance.

c. Upper-Funnel Campaigns

For high-funnel locational searches, Joey consolidated all "near me" and geo-targeted keywords into a single campaign:

"I have one campaign that are my near me or geo searches... What you want is ... have the Google my business locations associated to the campaign through your location assets."
[32:50]

This approach avoided the inefficiency of creating separate campaigns for each location, which could lead to ad misplacement and wasted budget.

4. Bidding Strategies and Conversion Actions

Joey emphasized the importance of accurately assigning values to different conversion actions to inform bidding strategies:

"It's important to assign these values because store visits is obviously going to get a lot more traction than a scheduled appointment."
[40:30]

Conversion Actions:

• Purchases: Standard e-commerce transactions with dynamic value import.
• Appointment Bookings: High-value conversions calculated by dividing the average order value by the close rate. For instance, an $8,000 average order with a 1-in-3 close rate assigns a value of $2,666 per booking.
• Store Visits: Lower-value conversions based on approximate conversion rates, such as $800 per visit.

Bidding Strategies:

Joey utilized Return on Ad Spend (ROAS) bidding across most campaigns, tailoring bid caps based on the funnel stage:

"I typically use a target ROAS bidding with a bid cap... I typically want to bid less for these near me geo searches versus a shopping campaign."
[44:20]

This strategy allowed for dynamic adjustment of bids in line with the profitability of each funnel stage, ensuring optimal budget allocation.

5. Budget Allocation

A strategic distribution of budget across campaigns was crucial for maximizing returns:

"Low funnel gets the majority of it... when you have the added budget... it's usually something that is valuable if you have the added budget."
[48:10]

• Low-Funnel Campaigns (Shopping & DSA): Received the bulk of the budget due to higher conversion rates.
• High-Funnel Campaigns (Geo Searches): Allocated budget incrementally based on available funds and performance data.

6. Experimental Strategies: Value Bid Adjustments

Joey shared an innovative experiment using Value Bid Adjustments to enhance performance in newly launched geolocations:

"What it did for me in this case was we launched a new location... it was literally doubled and conversions went with it."
[55:40]

By temporarily inflating the conversion value for specific locations, the algorithm prioritized ad spend in those areas, effectively boosting visibility and conversions during the initial phase.

7. Key Takeaways and Best Practices

• Data-Driven Structuring: Organize campaigns based on funnel stages to streamline optimization and budget allocation.
• Leverage Automation Tools: Utilize tools like ChatGPT for in-depth search term analysis and classification.
• Custom Labels for Profit Segmentation: Separate high and low-margin products to align bidding strategies with profitability goals.
• Dynamic and Static Remarketing: Combine dynamic product ads with static messaging to reinforce value propositions and engage different audience segments.
• Experimentation with Caution: Innovate with strategies like Value Bid Adjustments, ensuring thorough verification of results to maintain campaign integrity.

8. Final Insights

Joey concluded by emphasizing the importance of continuous experimentation and data validation in campaign management:

"Don't ever be afraid to experiment a little bit. But... make sure you do your due diligence in verifying that things actually got the result."
[1:05:20]

This mindset fosters adaptability and sustained optimization, crucial for managing complex hybrid business models effectively.

This detailed analysis provides valuable insights into managing Google Ads accounts that serve both online and physical storefronts. By adopting a structured, data-driven approach and leveraging advanced tools and strategies, marketers can enhance campaign performance, optimize budgets, and drive higher profitability.