Shopping Campaigns
Product Feed Optimization
Automatically optimize shopping campaign products based on performance data to improve your shopping ROAS.
The Problem
Shopping campaigns contain hundreds or thousands of products with varying performance. Managing them individually is impossible.
- Low-performing products waste budget
- High-performers may be underbid
- Manual product-level optimization doesnt scale
- Product performance changes with seasons and trends
The Solution
Pi-Automate analyzes product-level performance and automatically optimizes bids and status to maximize shopping ROAS.
- Weekly analysis of product performance
- Pause products with poor ROAS after sufficient data
- Increase bids on top performers
- Continuous optimization as performance changes
How This Workflow Works
Weekly analysis of shopping products: pause products with ROAS below 150% after 30+ clicks and $100+ spend, increase bids by 15-20% on products with ROAS above 400% and conversion rate above 3%.
1Analyze product performance weekly
2Identify products with ROAS below 150% (30+ clicks, $100+ spend)
3Pause underperforming products
4Identify products with ROAS above 400% and CVR above 3%
5Increase bids by 15-20% on top performers
Expected Results
25-40%Better product allocation
15-25%Improvement in ROAS
4-6hrsSaved per week
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