A PPC audit should make the next decision clearer: reduce waste, repair measurement, reorganize campaigns, or scale what is already working. This checklist gives you a repeatable way to review Google Ads settings, search terms, negative keywords, budgets, bids, ads, landing pages, and conversion tracking before changing bids or increasing spend.
Overview
A paid search audit is a structured review of how an account spends money and turns clicks into useful business outcomes. It is not simply a search for expensive keywords. A campaign can appear inefficient because of weak conversion tracking, poor landing page message match, duplicated targeting, unsuitable search terms, or a budget that is assigned to the wrong campaign.
Use the audit in two passes. First, check whether the account can be trusted: conversion actions, attribution settings, tracking URLs, campaign status, and geographic or network settings. Second, evaluate performance: search intent, wasted spend, bids, ad relevance, landing pages, and budget allocation. Avoid making major bid changes until the first pass is complete.
For a practical record, score each area from 0 to 2:
- 0 — Needs attention: a material issue is present, data is missing, or the setting is not understood.
- 1 — Partially controlled: the area works but lacks consistency, documentation, or enough evidence.
- 2 — Ready: the area is configured, reviewed, and connected to a clear business objective.
Record the score, evidence, owner, and next action. A low score is not automatically a reason to pause advertising; it is a signal to investigate before drawing conclusions.
How to estimate
Start with a defined audit period and a consistent data set. For example, choose a recent period long enough to include meaningful clicks and conversions, then compare it with an earlier period only when seasonality, budget, targeting, and conversion definitions are reasonably comparable.
Use these basic calculations:
- Cost per conversion = ad spend ÷ recorded conversions.
- Conversion rate = conversions ÷ clicks × 100.
- Click-through rate = clicks ÷ impressions × 100.
- Return on ad spend = recorded conversion value ÷ ad spend.
- Potential waste to review = spend on selected non-converting or low-value traffic, not automatically spend to remove.
The last measure requires judgment. A non-converting search term may be useful early in a customer journey, may have too little data, or may have been affected by a tracking problem. Label it as “review spend” until intent, conversion quality, and measurement have been checked.
For campaign structure, compare the account’s organization with the decisions you need to make. Separate campaigns when budgets, locations, languages, bidding objectives, or reporting requirements differ. Keep related keywords together when they share search intent and can use similar ad and landing page messages. Overly broad groupings make analysis difficult; excessive segmentation can leave each campaign with too little data to guide decisions.
Review keyword match types using the account’s actual search terms rather than assumptions. The Google Ads keyword match types guide can help when documenting why a term is eligible to trigger an ad. Pair that review with a search-term analysis and a maintained negative keyword strategy.
Inputs and assumptions
Gather the following inputs before scoring the account:
- Campaign settings: daily budgets, locations, languages, networks, schedules, audiences, status, and any shared settings that influence delivery.
- Search terms and keywords: impressions, clicks, cost, conversions, conversion value, match type, and the intent of the query.
- Negative keywords: account, campaign, and ad-group coverage; conflicts; duplicates; and terms that should be excluded for commercial, geographic, or service reasons.
- Budgets and bids: limited-budget campaigns, uneven spend, bid strategy, target settings, recent changes, and the relationship between the bid objective and the conversion data available.
- Ads: approved status, message match, offer clarity, landing-page relevance, asset coverage, and whether ad copy testing has a defined hypothesis.
- Landing pages: load experience, mobile usability, form or checkout function, primary call to action, trust information, and consistency between query, ad, and page.
- Measurement: primary and secondary conversion actions, duplicate counting, imported conversions, consent and privacy considerations, tracking templates, UTM conventions, and revenue or lead-quality values.
Use a table like this for each campaign or account area:
| Area | Score | Evidence | Next action |
|---|---|---|---|
| Campaign settings | 0–2 | What was checked? | What will change? |
| Search terms | 0–2 | Intent and cost pattern | Add, pause, or investigate |
| Negative keywords | 0–2 | Coverage and conflicts | Build or refine lists |
| Budgets and bids | 0–2 | Spend distribution | Reallocate or test |
| Ads and pages | 0–2 | Message match and quality | Test a defined change |
| Tracking | 0–2 | Conversion and URL checks | Repair before optimization |
Assume that reported performance is only as reliable as the conversion definition behind it. If a form submission, phone call, sale, or imported event is duplicated or misclassified, calculated cost per conversion and ROAS can lead to the wrong decision. Review the UTM builder guide for paid search and confirm that campaign naming and tracking parameters remain consistent.
Worked examples
Example 1: apparent wasted spend. A campaign spent $1,200 during the audit period and recorded 24 conversions, producing a calculated cost per conversion of $50. A search-term segment used $180 and recorded no conversions. That $180 is a review segment, not automatically wasted spend. Check whether the queries match the intended service, whether the landing page works, whether conversions are being recorded, and whether the segment has enough clicks to justify a decision. If the queries are clearly irrelevant, add an appropriate negative keyword and document the reason.
Example 2: conversion gap. A campaign has steady clicks but suddenly reports no leads. Before lowering bids, test the form, confirmation page, call tracking, imported conversion connection, and tag or event behavior. Compare the platform’s recorded conversions with the website or CRM’s lead count where possible. If the underlying business action still occurs but the ad platform does not record it, the priority is measurement repair, not campaign restructuring.
Example 3: structure problem. One campaign combines several locations, service types, and intent levels under one budget. Its overall cost per conversion looks acceptable, but the account cannot show which location or service deserves more budget. Create a structure based on decisions that matter: separate only where budget control, reporting, landing pages, or bidding objectives genuinely differ. Then allow enough time and data for the revised structure to be evaluated without changing several other variables at once.
For ad and landing-page findings, use a single test hypothesis such as: “A page that repeats the searcher’s service and location will improve qualified lead rate.” Keep the change documented and use the ad copy testing framework or responsive search ad headline testing framework to separate message testing from routine account changes.
When to recalculate
Run the full PPC audit monthly for active accounts, but do not treat every monthly review as a reason to rebuild the campaign. Recalculate performance after a meaningful change in budget, targeting, bidding, conversion definitions, landing pages, or campaign structure. Repeat the audit before quarterly budget planning, a major restructure, or a decision to expand into new keywords.
Refresh the checklist when platform setting names, bidding options, privacy requirements, or conversion-measurement workflows change. A quarterly settings review is a practical minimum, with an additional check after a major advertising-platform release. Revisit thresholds whenever pricing inputs, average order value, lead quality, conversion rate, or business targets move.
Finish each audit with three prioritized actions: one measurement fix, one waste or intent decision, and one controlled optimization test. Assign an owner and due date, then record the expected effect. After the next review period, compare the result with the original assumption rather than judging the change only by clicks or impressions. This turns a PPC audit checklist into an ongoing campaign-structure and optimization process.
