Paid

How to review paid search efficiency

paid-efficiency-review a saved expert workflow your assistant follows, in Claude, ChatGPT or Cursor

The ad-spend efficiency read: cost, CPC, cost-per-conversion and conversions swept by campaign, keyword, ad group or intent, plus where impression share lost to RANK (not budget) marks fixable auction ground.

Try it

paid efficiency check

Private beta Part of the quattr-ai-search plugin, rolling out org by org. Request access ↗

Say any of these

paid efficiency
ad spend review
cost per conversion by campaign
where is spend going
CPC trends by keyword
which campaigns are inefficient
lost impression share to rank

You never name the skill or a tool, the assistant routes on what you asked. These are the phrasings it recognises for this one.

And when it stays out of the way

Not for the paid×organic interplay ("wasting spend on keywords we rank for", paid-organic-balance), or for organic questions.

Use it instead of paid-organic-balance when the frame is pure ads efficiency; use paid-organic-balance instead when organic overlap is the question.

What it runs

paid_search_overview
paid_impression_share

2 governed analyses, composed and scoped for you. Named here for transparency, not because you have to ask for them.

The numbers behind it

Metrics it reads, each defined in the reference

Absolute top impression share Absolute top impression share lost to rank Ad cost Average cost per click Cost per conversion Impression share lost to rank Paid click-through rate Paid clicks Paid conversions Paid impressions Search impression share Top impression share Top impression share lost to rank

Reports these numbers feed

Paid and organic overlap report Paid search performance report Search to revenue report

What it refuses to do

Paid conversions are the ad platform's attribution, never presented as the analytics goals number; the two lenses are named when both appear.
Pause/scale recommendations are posture suggestions; structural bid-strategy changes are cautions with trade-offs, not directives.

What the answer looks like

Skill: Spend, CPC, and what it buys. Simulated · illustrative

Where is spend going?

Analysis plan, every step, resolved for you

Routed to the governed workflowpaid-efficiency-review
Dates bound explicitlyJul 1 to Jul 31, 2026
2 analyses queued in parallelpaid_search_overview · paid_impression_share
Honesty gates armedscope echo · freshness

Spend is concentrated in two campaigns; cost per conversion rose 12%, and a fifth of lost auctions are rank-fixable.

Ad spend: $48.2K ▲ +4.1%
Cost per conversion: $61.40 ▲ +12.3% Google Ads-reported conversions
Lost to rank: 19% of auctions fixable auction ground, rank, not budget

Jul 1 to Jul 31, 2026 vs Jun 2026paid

⚠ Observationalas of Aug 2, 2026IllustrativeOpen in Quattr ↗

Rebalance the two CPA-heavy campaigns; the rank-lost 19% is a quality-score job, not a budget ask.

A simulated conversation on fictional data. Scope, freshness and the ⚠ Observational marker are attached by the same director that renders every demo here, not written by hand.

Want this Skill running on your own accounts? Every Quattr customer works with an AI Search Strategist who sets it up with you.

Consult an expert