How Commerce Max Selects an Ad?
Commerce Max uses a combination of data signals to decide which Sponsored Product ad to show for each available impression. The goal is to maximize both advertiser performance and retailer yield. This decision-making process relies on three key inputs: contextual information, campaign performance, and user behaviour.
These inputs are processed through Criteo’s advanced prediction models to determine ad relevance and assign a Quality Score - a measure of how likely a user is to engage with a specific product ad.
How it works?
Commerce Max evaluates contextual information
This includes the page context where the ad opportunity occurs- such as product category or search terms.
It reviews campaign performance data
It looks at how your product has previously performed:
Engagement history (clicks, impressions, conversions).
The types of users and categories where it performed best.
Specific line item performance.
Products with stronger historical performance tend to be favoured.
It considers user-level behaviour (for offsite and cross-context)
Commerce Max uses first-party retailer data to understand what the user searched, browsed, clicked on, or purchased.
This helps ensure ad placements align with a shopper’s demonstrated intent.
It calculates a Quality Score
The Quality Score (predicted Click-Through Rate or pCTR) is the outcome of all the above signals.
A higher score means a higher likelihood that a shopper will click on the ad.
You cannot directly influence this score; it is derived from:
Brand familiarity
Historical product performance
Shopper engagement data
Commerce Max runs the auction
Among eligible ads, it selects the one with the best combination of bid and Quality Score.
Even with a high bid, a product with low predicted engagement may not win the auction.
Ad is delivered if it fits the context and performs well
Only ads that align with the page context, have strong historical performance, and resonate with user behaviour are served.
This ensures both brand visibility and user relevance, improving the overall experience for the shopper and value for you.