Boost Google Shopping ROAS: AI-Powered Product Segmentation

Why better product clustering delivers better Google PLA campaign results

If products are inconsistently placed in campaigns Google cannot optimally predict what conversion value to expect. After splitting into consistent campaigns, the budget and ROAS target can be better managed. You focus on performing products and reduce losses on non-performing products.

Cluster Designer

It easily helps to set criteria for creating a Google shopping campaign structure according to several parameters. ML algorithm searches for the optimal number of campaigns for your e-store.

Analyses and reports

It is possible to compare segmentation proposals, analyze the product distribution and choose the one that best suits your project.

Operation automation

Regular automatic download of all product data from Google Ads with history, export custom label to GMC, product movement between campaigns.

Proper segmentation as the basis for success

Help the Google to achieve better results

Each campaign is built to meet a minimum number of conversions so that Google can successfully optimize it.
Create any number of campaigns or let the ML model select the optimal number for your data structure. Don't be fixed by 4 or 6 predefined campaign divisions.
Do not use only one parameter for distribution (ROAS), but more than 2 and even 5 parameters to find the ideal campaign predictability.
Evaluate the consistency of campaigns over time and compare it to their performance

Long-term optimization brings success

Production campaign optimization

Products automatically migrate between campaigns according to their performance. This improves campaign performance.
Product moves can be limited so that the campaign doesn't lose too much product or a certain % conversion value.
There is a detailed report of products that have been moved or are waiting to be moved.
For new products without history, it is possible to derive their potential performance from related products. This means that the products will not be left in a non-performing cluster.