AI Brain for Commerce
Use case 22BustlyUpdated

Separate branded-search spend and contribution

Distinguish demand capture from broader acquisition when evaluating paid search.

The context

The operator wants to understand how much paid-search spending and reported conversion value come from branded terms over the year, within selected regional campaign labels. Strong branded results may obscure weaker non-brand acquisition. The review should clarify the account structure without assuming branded demand and new-customer demand are interchangeable.

The Bustly workflow

Identify the selected regional campaigns and branded-search activity. Calculate their shares of spend and reported conversion value, then assess concentration and structural risks. Recommend a branded versus non-brand budget review, stating how the terms and labels were classified.

A prompt to adapt

Analyze this year's branded-search share of Google Ads spend and reported conversion value. Check whether the account depends heavily on branded demand, explain the classification rules and recommend a budget structure to review.

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.