Tracking KPIs and Waste to Find Search Terms Worth Scaling

KPI signals that separate scalable terms from waste

Search term performance is best judged across several campaign-specific signals, not just total orders. Spend, clicks, sales, ROAS, ACoS, orders, CPC, CTR, and conversion rate all work together to show whether a term is earning its budget.

• Spend and sales show if a query is active enough to evaluate.
• ROAS and ACoS show whether revenue is keeping pace with cost.
• Clicks, CPC, and CTR show if traffic is affordable and relevant.
• Conversion rate and orders show if the click interest actually turns into purchases.
• Wasted spend isolates budget that did not lead to a sale.

A unified Amazon Ads Dashboard can consolidate these metrics from multiple accounts and marketplaces so the comparison is consistent.

When waste tracking matters most

Waste tracking matters most when campaigns have enough click volume to make decisions but not enough sales clarity to act. If a search term spends steadily without orders, it becomes a negative keyword candidate. If it converts but at a weak ROAS, a bid reduction may be safer than removal.

This review is especially useful for auto campaigns, where broad matching can bring in mixed queries. Instead of cutting an entire ad group, teams can use waste signals to isolate the specific terms that should be reduced or excluded.

Turning KPI and waste data into budget decisions

A practical workflow starts with Sponsored Products search-term data at daily granularity. Import or schedule reports, then review terms against a simple split: productive terms that deserve more budget, and wasteful terms that should be reduced or negated.

• Scale: For terms with solid sales and an acceptable ACoS, test a higher budget or move them into an exact match campaign for more control.
• Bid down: For terms that convert but with high CPC or weak ROAS, test a lower bid before making bigger changes.
• Exclude: For terms with repeated clicks and no orders, add them as negative keyword candidates and let the team approve the change.

Because analysis tools are read-only by design, these changes stay in your control. The analytics surface the opportunity, but your team makes the final budget or negative targeting decision.