An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Product Metrics

About Product Metrics
Product Metrics is an AI-powered product segmentation and feed-optimization tool designed for Google Shopping and Performance Max campaigns. It analyzes Google Ads and first-party data to automatically label SKUs, categorizing them as Stars, Cashcows, Question Marks, or Dogs. The tool uses machine learning to prioritize products based on stock levels, return rates, pricing, and margins, enabling performance marketers to reallocate budgets away from underperformers. With the Labelizer feature, users can build automation rules to streamline workflows. The platform surfaces actionable, product-level insights that help marketers reduce wasted ad spend, improve return on ad spend (ROAS), and scale high-potential products without relying on manual spreadsheets. It is particularly useful for e-commerce businesses running Google Ads campaigns who need data-driven optimization to maximize campaign efficiency and profitability.
Key features
- Automatic SKU labeling (Stars, Cashcows, Question Marks, Dogs)
- Machine learning-based budget reallocation from underperformers
- Prioritization by stock levels, return rates, pricing, and margins
- Labelizer for building automation rules
- Actionable product-level insights for performance marketers
- Integration with Google Shopping and Performance Max
- Analysis of Google Ads and first-party data
- Reduction of wasted ad spend and improved ROAS
- Scaling of high-potential products without manual spreadsheets
Use cases
- Optimizing ad spend allocation for Google Shopping campaigns
- Improving ROAS by reallocating budgets away from underperforming products
- Automating product segmentation and feed optimization for e-commerce businesses
Pros
- Combines multiple data sources (Google Ads, GA4, pricing, inventory, returns, margins) for comprehensive product segmentation
- Automatically labels products as Stars, Cashcows, Question Marks, or Dogs to prioritize high-performing items
- Uses machine learning to optimize budgets and reduce wasted ad spend in Google Shopping and Performance Max campaigns
- Offers a Labelizer feature to build automation rules for streamlined workflows
- Provides actionable, product-level insights without requiring manual spreadsheet analysis
Cons
- Requires integration with Google Ads and other data sources, which may involve setup complexity
- Primarily focused on Google Shopping and Performance Max campaigns, limiting applicability to other ad platforms
- Free tier has limited features and may not suit advanced optimization needs
Frequently asked questions about Product Metrics
What is Google Shopping Feed Segmentation?
Google Shopping Feed Segmentation organizes product feeds into smaller, performance-based groups to control bids and budgets more precisely, improving ROAS and reducing wasted ad spend.
How does Product Metrics improve Google Ads performance?
Product Metrics improves performance by analyzing multiple signals beyond ad performance, such as GA4 data, margins, inventory levels, competitor pricing, and returns, to optimize product segmentation.
Can I use Product Metrics with any eCommerce platform?
Product Metrics integrates with Google Ads and other data sources but does not directly depend on the eCommerce platform used, as long as the required data can be accessed.
Do I need to be a Google Ads expert to use Product Metrics?
No, Product Metrics is designed to simplify product-level optimization without requiring deep Google Ads expertise, though familiarity with campaign structures may enhance results.
How quickly can I see results from Product Metrics?
Results can be observed after the initial analysis of product data, with further optimization insights available as the tool continues to process performance metrics.
What support options are available with Product Metrics?
Product Metrics offers Slack support (24H) for paid plans, and general inquiries can be directed to their support email for assistance.
Product Metrics Website Engagement
Last Update: 9 days ago