OEM Auto Performance Parts Manufacturer
How GA4 Insights and Smarter Ad Spend Strategies Boosted Conversions by 90% in 8 Months
Overview
An OEM auto performance parts manufacturer and supplier partnered with us to enhance their digital advertising performance. The client, serving a niche yet competitive industry, wanted to maximize the return on ad spend (ROAS) while maintaining a consistent flow of high-quality leads and conversions. Their product catalog was extensive, and they needed a strategy to optimize ad spend across various campaigns, including Google Ads, Google Shopping, and Performance Max.
Results: 13 Months of Sustained Growth
| Metric | Pre-Optimization (Aug–Oct 2024) | Post-Optimization (Nov 2024–Mar 2025) | Improvement |
| Average ROAS | 15.8% | 24% | +52% |
| Monthly Conversions | 378 (Aug 2024) | 804 (Nov 2024) | +90% (peak month) |
| Cost per Conversion | $37.38 (Q4 2024) | $25.51 (Q1 2025) | -34% (reduced) |
| PMax Contribution | 22% of conversions | 63% of conversions | +186% efficiency |
Key Highlights
- Conversions Doubled: Over the course of eight months, conversions grew by 90%, proving the effectiveness of the optimized campaigns.
- ROAS Improved Significantly: The return on ad spend increased by 44.4%, indicating better efficiency in targeting and spend allocation.
- Ad Spend Scaling: While ad spend increased by 109.7%, the proportional growth in conversions showcases the scalability of the campaigns.
- Peak Performance in March 2025: With the highest ROAS (26%) and 718 conversions, March 2025 marked the pinnacle of campaign performance.
The Challenge
The primary challenge was managing ad spend effectively across multiple campaigns while accounting for seasonality, customer demographics, and historical data. The client’s previous campaigns showed fluctuating ROAS, with inconsistencies in performance during critical seasonal periods. Additionally, they lacked real-time insights into product performance, making it harder to adjust campaigns dynamically.
Goal
The ultimate goal was to achieve steady growth in conversions and ROAS by:
- Implementing data-driven campaign optimizations.
- Leveraging Google Ads, Shopping, and Performance Max for targeted reach.
- Utilizing GA4 and Looker Studio for real-time tracking and actionable insights.
- Managing ad spend to align with seasonal demand and demographic trends effectively.
Approach
To address these challenges, we developed a methodical, data-driven approach:
- Historical Data Analysis: We reviewed past performance trends, paying close attention to month-over-month conversion patterns, ROAS, and seasonal spikes.
- Demographic Insights: Using GA4, we analyzed the geographic and demographic data to identify high-performing audience segments.
- Product Performance Breakdown: By integrating Looker Studio, we created real-time dashboards to monitor product-level performance, enabling quick adjustments.
- Campaign Restructuring: We optimized existing campaigns by shifting resources toward Google Shopping and Performance Max for better targeting.
- Seasonality Adjustments: Based on historical trends, we allocated higher budgets to peak months and scaled back during slower periods.
- Remarketing & Branding: To capture potential customers who didn’t convert on their first interaction, we launched remarketing campaigns, complemented by consistent branding efforts.
The Solution
To address the client’s challenges and achieve the goals, we deployed an integrated strategy powered by advanced analytics and campaign optimization. Here’s what we did:GA4 Tracking Setup
Hyper-Targeted Google Ads Strategy
GA4 data was seamlessly integrated into Looker Studio (formerly Google Data Studio) to create dynamic, real-time dashboards. These reports allowed the client to monitor product performance, ROAS, and campaign metrics at a glance. The transparency and accessibility of these reports empowered quick decision-making and a proactive approach to campaign adjustments.
Campaign Optimization with Google Ads & Performance Max
- Google Ads & Shopping Ads: Campaigns were restructured to focus on high-performing keywords and product categories identified through GA4 data.
- Performance Max Campaigns: These were configured to leverage AI-based audience targeting, which helped us reach users with high purchase intent.
- Dynamic Ad Spend Allocation: Using both historical and real-time data, we reallocated budgets monthly to prioritize high-demand products and peak seasonal trends.
Enhanced Remarketing
Seasonality-Driven Budget Adjustments
Based on historical data and real-time trends tracked via Looker Studio, we scaled budgets during high-conversion periods (e.g., November and March) and reduced spend during slower months.
Our client success stories show the results advertisers achieve with ProvenCommerce. See how we build relationships and drive performance. Stop wondering if your digital ads are working – get the most from your campaigns.
Partners and Certifications
