Performance Labelizer

Lyra’s Performance Labelizer automatically categorizes products and campaigns into performance tiers based on configurable metrics, enabling structured analysis and management of your Google Ads portfolio.

Key Takeaways

• Automated tiering labels products and campaigns by performance level
• Configurable thresholds use your chosen metrics (ROAS, CPA, revenue, conversions)
• Segment tracking monitors revenue and efficiency per labeled group over time
• A/B testing compares labeled segments with statistical significance

The Problem

Managing large product catalogs or campaign portfolios requires segmentation. Without systematic categorization:

• Budget misallocation — Equal budget distribution across all products ignores the reality that a small percentage of products drive most revenue
• Optimization blind spots — Account managers optimize individual campaigns without understanding portfolio-level performance distribution
• Stale strategy — Products that were top performers last quarter may be declining, but without labeling, the shift goes unnoticed until aggregate numbers drop
• Reporting gaps — Client reports cannot segment performance by product tier without manual spreadsheet work

Google Ads provides basic labeling functionality, but it requires manual application and does not automatically update based on performance changes. Labels set manually become stale as product performance shifts over time.

For Shopping and Performance Max campaigns with hundreds or thousands of products, manual labeling at scale is impractical. Products enter and exit performance tiers continuously, and static labels cannot keep pace.

How Lyra Solves It

The Performance Labelizer automates the entire labeling lifecycle:

Performance tiers follow a standard model with customizable thresholds:

Revenue tracking per segment provides portfolio-level insights:

• What percentage of total revenue comes from each tier
• How tier composition changes over time (are top performers growing or shrinking?)
• Whether budget allocation matches revenue contribution

A/B testing support allows you to split labeled segments and test different strategies. Apply test labels to subsets of campaigns, implement different bid or budget strategies per group, and track the results with statistical significance calculations.

Use Cases

Shopping campaign tiering. In a product catalog with 500+ SKUs, automatically label products by ROAS tier. Allocate budget proportionally — top performers receive increased spend while zero performers are excluded or moved to a low-priority campaign.

Campaign portfolio analysis. Label all search campaigns by performance tier to see how your portfolio distributes. If 80% of conversions come from 20% of campaigns, the labeling data justifies consolidating budget toward proven performers.

Seasonal performance tracking. Track how product tier assignments shift during seasonal periods. Products that perform well during holiday seasons but poorly otherwise can be identified and managed with seasonal budget strategies based on their labeled history.