Boosting Profitability Through Optimized Shopping Campaigns

Adcore Case Studies

Campaign Goals

Increase client profitability by optimizing the structure of shopping campaigns to drive maximum performance within a constrained budget.

Executive Summary

Conducted an in-depth campaign analysis using in-house Feeditor technology and advanced scripts to evaluate campaign performance, cost distribution, and identify missed growth opportunities.
Developed and implemented a new campaign strategy by restructuring Performance Max (PMax) campaigns based on conversion rates into a category-based model.
Within several weeks, results showed a 47% increase in ROAS, a 67% increase in conversion rate, and a 21% decrease in average CPC.
Overall, the strategy was highly successful, with the client achieving a 16% increase in total revenue and recording one of their best periods to date.

-21%

Average CPC

The strategy enabled more efficient bidding, reducing wasted spend on non-performing channels and driving cost efficiency.

+47%

ROAS

A shift in spend allocation within the shopping activity resulted in a significant boost in ROAS.

Strategic Planning

Demonstrated through the identification of growth barriers in the existing account structure and the implementation of solutions.

Technology

The success of the campaign was largely driven by Feeditor’s advanced technology, which unlocked valuable insights from data that would have otherwise been inaccessible.

Challenge

Facing the challenge of increasing revenue while improving ROAS in a new and competitive market presented several obstacles:

Limited visibility – Performance Max campaigns are often referred to as a “black box,” making it difficult to access detailed information on cost distribution and performance effectiveness.
Balancing complexity with growth – Google’s Performance Max campaigns use complex and sensitive algorithms, requiring careful and well-planned changes to avoid negative impacts on performance.
Competitive market constraints – Operating within a cost-competitive market and a limited budget, we needed to demonstrate significant growth despite these challenges.

Main Actions

Analyze the current setup, where all shopping activity is consolidated under a single Performance Max campaign, to identify inefficiencies in budget allocation and performance tracking.
Utilize Feeditor’s advanced Enrich feature to import performance data at the item ID level and group products by conversion rate, organized by product category.
Develop a dedicated shopping strategy based on the findings, creating a category-based structure for optimized targeting.
Segment Google campaigns according to the data insights, allocate budget and bidding towards the top-performing products.

Solution

By leveraging Feeditor’s in-house technology, we broke down performance at the Item ID level and restructured the campaigns to drive revenue growth.

Advanced Analysis: Utilized Feeditor’s Enrich feature and advanced scripts to optimize the account structure for improved performance.
Custom Campaign Deployment: Implemented differentiated ROI targets based on product category performance to maximize returns.
Budget Reallocation: Shifted budget toward higher AOV product categories and high-performing campaigns for better efficiency and results.

About the company

A leading Israeli jewelry brand that designs and sells unique, beautifully crafted pieces.

Get exclusive CMO tips that I only share with email subscribers.

Don't forget to share this article!