Shopping Optimizer: Analytics and Optimization for Google Shopping & PMax

Find "loser" products and scale "stars". Identify growth opportunities and budget drains in your Shopping campaigns in minutes.

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Problem

Wasting budget on ineffective products/categories/brands?

In PMax and Shopping campaigns, it's hard to see the performance of each individual product and quickly turn off unprofitable ones.

Quantum Solution

Real-time analytics and actions

Set your KPIs (ROAS, margin, CPA) and the system will instantly highlight products that are dragging you down.

Star & Loser Criteria

Configure rules (A/S Ratio, CPA) by which products will be automatically marked as effective or unprofitable.

Margin Tracking

Set different margins for different brands or categories to calculate real profit, not just ROAS.

Quick Actions

Bulk exclude 'losers' or create separate campaigns for top products in a couple of clicks.

How it Works

Import Statistics

Select campaigns and analysis period. The system pulls data for each product and structures it into a table. You can choose product grouping mode (by product_type, brand, etc.).

KPI Setup

Specify target ROAS and margin. The table will highlight plan fulfillment or non-fulfillment in green and red.

Optimization

Filter 'bad products' and exclude them from campaigns in 1 click. Filter 'Star Products' and launch them as a separate campaign.

Click to zoom

Unit Economics in Google Shopping

Bid management at the Product Group level is often insufficient. Shopping Optimizer provides detail down to the SKU (Item ID) level. This allows for 'surgical' optimization: turning off products that eat up budget without conversions, and boosting products with high ROAS but low reach (Invisible Winners). The ability to set custom margins for specific categories/brands/custom labels allows optimizing not by revenue, but by net profit, which is critical for E-commerce with a heterogeneous assortment and varying margin groups.