AI Brain for Commerce
Use case 16Google AdsUpdated

Investigate products with high Google Ads spend

Separate spend concentration from sales contribution at the product level.

The context

The advertising team needs to inspect the ten products consuming the most Google Shopping budget. High spend alone does not establish waste, so the review must also consider conversions, data quality and the destination product pages. The operator needs a product-level action list rather than only a spend ranking.

The Bustly workflow

Read product-level Shopping performance and identify high-cost, low-conversion or anomalous records. Connect the findings to relevant product-page and campaign questions. Propose prioritized adjustments or further checks, with the available data and reporting definitions stated explicitly.

A prompt to adapt

Review the ten highest-spend products in our recent Google Shopping or Performance Max activity. Identify possible high-cost, low-conversion issues and recommend prioritized next steps, noting any data limitations.

Available actions depend on connected tools and permissions. Confirm the scope and authorization before publishing, sending messages or changing spend.

Adapted from real operating tasks. Customer identifiers and sensitive business details are omitted. The workflows are examples, not promises of business results.